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ORCIDCoRR, January 2026
Volume 2026-01, January 2026
- Kai Liu, Michelle L. Aebersold, Mark Lindquist, Haoting Gao:
Augmented Reality Indoor Wayfinding in Hospital Environments An Empirical Study on Navigation Efficiency, User Experience, and Cognitive Load. - Tarek Al Mustafa:
From Metadata to Meaning: A Semantic Units Knowledge Graph for the Biodiversity Exploratories. - Shuqi Liu, Bowei He, Chen Ma, Linqi Song:
Reasoning in Action: MCTS-Driven Knowledge Retrieval for Large Language Models. - Isaac Iyinoluwa Olufadewa, Miracle Ayomikun Adesina, Ezekiel Ayodeji Oladejo, Uthman Babatunde Usman, Owen Kolade Adeniyi, Matthew Tolulope Olawoyin:
Finetuning Large Language Models for Automated Depression Screening in Nigerian Pidgin English: GENSCORE Pilot Study. - Lesley Wheat, Martin v. Mohrenschildt, Saeid R. Habibi:
Evaluating Anomaly Detectors for Simulated Highly Imbalanced Industrial Classification Problems. - Nicholas A. Pape:
Yahtzee: Reinforcement Learning Techniques for Stochastic Combinatorial Games. - Nikhil Garg, Anxiong Song, Niklas Plessnig, Nathan Savoia, Laura Bégon-Lours:
Personalized Spiking Neural Networks with Ferroelectric Synapses for EEG Signal Processing. - Peter David Fagan:
Toward a Physical Theory of Intelligence. - Luis M. Moreno-Saavedra, Silvia Jiménez-Fernández, Antonio Portilla-Figueras, David Casillas-Perez, Sancho Salcedo-Sanz:
A multi-algorithm approach for operational human resources workload balancing in a last mile urban delivery system. - Purushottam Saha, Avirup Chakraborty, Sourish Sarkar, Subhamoy Maitra, Diganta Mukherjee, Tridib Mukherjee:
Quantitative Rule-Based Strategy modeling in Classic Indian Rummy: A Metric Optimization Approach. - Abolhassan Pishahang, Maryam Badiei:
From Clay to Code: Typological and Material Reasoning in AI Interpretations of Iranian Pigeon Towers. - Manish Bhatt, Adrian Wood, Idan Habler, Ammar Al-Kahfah:
Large Empirical Case Study: Go-Explore adapted for AI Red Team Testing. - Martin Gebser, Daniela Inclezan, Francesco Ricca, Manuel Carro, Miroslaw Truszczynski:
Proceedings 41st International Conference on Logic Programming, ICLP 2025, Rende, Italy, 12-19th September 2025. EPTCS 439, 2026 [contents] - Yabo Chen, Yuanzhi Liang, Jiepeng Wang, Tingxi Chen, Junfei Cheng, Zixiao Gu, Yuyang Huang, Zicheng Jiang, Wei Li, Tian Li, Weichen Li, Zuoxin Li, Guangce Liu, Jialun Liu, Junqi Liu, Haoyuan Wang, Qizhen Weng, Xuan'er Wu, Xunzhi Xiang, Xiaoyan Yang, Xin Zhang, Shiwen Zhang, Junyu Zhou, Chengcheng Zhou, Haibin Huang, Chi Zhang, Xuelong Li:
TeleWorld: Towards Dynamic Multimodal Synthesis with a 4D World Model. - Xiaoze Liu, Weichen Yu, Matt Fredrikson, Xiaoqian Wang, Jing Gao:
The Trojan in the Vocabulary: Stealthy Sabotage of LLM Composition. - Swetha Varadarajan, Abhishek Ray, Lumina Albert:
IMBWatch - a Spatio-Temporal Graph Neural Network approach to detect Illicit Massage Business. - Brian M. Cho, Nathan Kallus:
Exploration in the Limit. - Xiang Gao, Yuguang Yao, Qi Zhang, Kaiwen Dong, Avinash Baidya, Ruocheng Guo, Hilaf Hasson, Kamalika Das:
RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning. - Zhaoan Wang, Junchao Li, Mahdi Mohammad, Shaoping Xiao:
Reinforcement learning with timed constraints for robotics motion planning. - Junqi Qu, Yan Zhang, Shangqian Gao, Shibo Li:
Dynamic Bayesian Optimization Framework for Instruction Tuning in Partial Differential Equation Discovery. - Anne Harrington, A. Sophia Koepke, Shyamgopal Karthik, Trevor Darrell, Alexei A. Efros:
It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models. - Pan Wang, Yang Liu, Guile Wu, Eduardo R. Corral-Soto, Chengjie Huang, Binbin Xu, Dongfeng Bai, Xu Yan, Yuan Ren, Xingxin Chen, Yizhe Wu, Tao Huang, Wenjun Wan, Xin Wu, Pei Zhou, Xuyang Dai, Kangbo Lv, Hongbo Zhang, Yosef Fried, Aixue Ye, Bailan Feng, Zhenyu Chen, Zhen Li, Yingcong Chen, Yiyi Liao, Bingbing Liu:
Spatial4D-Bench: A Versatile 4D Spatial Intelligence Benchmark. - Ali Dasdan:
Bounds on Longest Simple Cycles in Weighted Directed Graphs via Optimum Cycle Means. - Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma:
Adaptive Constraint Propagation: Scaling Structured Inference for Large Language Models via Meta-Reinforcement Learning. - Akash Kumar Panda, Olaoluwa Adigun, Bart Kosko:
The Agentic Leash: Extracting Causal Feedback Fuzzy Cognitive Maps with LLMs. - Paraschos Koutris, Stijn Vansummeren, Qichen Wang, Yisu Remy Wang, Xiangyao Yu:
Database Theory in Action: Yannakakis' Algorithm. - Jaroslaw Arabas, Adam Stelmaszczyk, Eryk Warchulski, Dariusz Jagodzinski, Rafal Biedrzycki:
Covariance Matrix Adaptation Evolution Strategy without a matrix. - Ari Stern, Enrico Zampa:
Finite element exterior calculus for time-dependent Hamiltonian partial differential equations. - Muhammad Umair Nasir, Yuchen Li, Steven James, Julian Togelius:
Mortar: Evolving Mechanics for Automatic Game Design. - Deepyaman Chakraborty, Ruben Harris, Rupert Klein, Guillermo Olicón-Méndez, Sebastian Reich, Claudia Schillings:
Affine Invariant Langevin Dynamics for rare-event sampling. - Keiya Kawano, Milena Radenkovic:
Delay-Tolerant Networking for Tsunami Evacuation on the Small Island of Hachijojima: A Study of Epidemic and Prophet Routing. - Md. Salik Parwez, Sai Teja Srivillibhutturu, Sai Venkat Reddy Kopparthi, Asfiya Misba, Debashri Roy, Habeeb Olufowobi, Charles J. Kim:
CTMap: LLM-Enabled Connectivity-Aware Path Planning in Millimeter-Wave Digital Twin Networks. - Christoph Neuhauser:
DiffTetVR: Differentiable Tetrahedral Volume Rendering. - Aditya Sai Ellendula, Yi Wang, Minh Nguyen, Chandrajit Bajaj:
GRL-SNAM: Geometric Reinforcement Learning with Path Differential Hamiltonians for Simultaneous Navigation and Mapping in Unknown Environments. - Hiram H. López, Gretchen L. Matthews, Daniel Valvo:
A repair scheme for a distributed storage system based on multivariate polynomials. - Yaqi Duan, Yichun Hu, Jiashuo Jiang:
Ask, Clarify, Optimize: Human-LLM Agent Collaboration for Smarter Inventory Control. - Eduardo Camps-Moreno, Jun Bo Lau, Hiram H. López, Welington Santos:
The permutation group of Reed-Solomon codes over arbitrary points. - Hyunho Lee, Wenwen Li:
A Spatially Masked Adaptive Gated Network for multimodal post-flood water extent mapping using SAR and incomplete multispectral data. - Keqin Xie:
Constructing a Neuro-Symbolic Mathematician from First Principles. - Utkarsh A Mishra, David He, Yongxin Chen, Danfei Xu:
Compositional Diffusion with Guided Search for Long-Horizon Planning. - Jorge Ortiz:
Explicit Abstention Knobs for Predictable Reliability in Video Question Answering. - Brady Zhou, Philipp Krähenbühl:
Compressed Map Priors for 3D Perception. - Miles Simmons, Ishan Bansal, Joe Cheriyan:
Symmetric Submodular Functions, Uncrossable Functions, and Structural Submodularity. - Lawrence Han:
Attention to Detail: Global-Local Attention for High-Resolution AI-Generated Image Detection. - Tiansi Dong, Henry He, Pietro Liò, Mateja Jamnik:
An AI Monkey Gets Grapes for Sure - Sphere Neural Networks for Reliable Decision-Making. - Chengjun Jiang, Milena Radenkovic:
A-FC: An Activity-Based Delay Tolerant Routing Protocol for Improving Future School Campus Emergency Communications. - Yehui Yang, Dalu Yang, Wenshuo Zhou, Fangxin Shang, Yifan Liu, Jie Ren, Haojun Fei, Qing Yang, Yanwu Xu, Tao Chen:
FCMBench: A Comprehensive Financial Credit Multimodal Benchmark for Real-world Applications. - Ali Devran Kara:
Reinforcement Learning with Function Approximation for Non-Markov Processes. - Yann Bellec, Rohan Kaman, Siwen Cui, Aarav Agrawal, Calvin Chen:
The Weather Paradox: Why Precipitation Fails to Predict Traffic Accident Severity in Large-Scale US Data. - Kaiwen Zheng, Junchen Fu, Songpei Xu, Yaoqin He, Joemon M. Jose, Han Hu, Xuri Ge:
Focal-RegionFace: Generating Fine-Grained Multi-attribute Descriptions for Arbitrarily Selected Face Focal Regions. - Zhuoran Zhuang, Ye Chen, Chao Luo, Tian-Hao Zhang, Xuewei Zhang, Jian Ma, Jiatong Shi, Wei Zhang:
IKFST: IOO and KOO Algorithms for Accelerated and Precise WFST-based End-to-End Automatic Speech Recognition. - Jiuyang Liang, Libin Lu, Shidong Jiang:
Fast Ewald Summation with Prolates for Charged Systems in the NPT Ensemble. - Junfeng Chen, Yuxiao Zhu, Xintong Zhang, Bing Luo, Meng Guo:
SLEI3D: Simultaneous Exploration and Inspection via Heterogeneous Fleets under Limited Communication. - Yongmin Yoo, Kris W. Pan:
Pat-DEVAL: Chain-of-Legal-Thought Evaluation for Patent Description. - Junkai Luo, Yinglun Zhu:
Online Finetuning Decision Transformers with Pure RL Gradients. - Ata Akbari Asanjan, Filip A. Wudarski, Daniel O'Connor, Shaun Geaney, Elena Strbac, Paul Aaron Lott, Davide Venturelli:
Sequential Reservoir Computing for Efficient High-Dimensional Spatiotemporal Forecasting. - Zhuqi Miao, Sujan Ravi, Abdulaziz Ahmed:
Early Prediction of Liver Cirrhosis Up to Three Years in Advance: A Machine Learning Study Benchmarking Against the FIB-4 Score. - Cheonkam Jeong, Adeline Nyamathi:
Understanding Emotion in Discourse: Recognition Insights and Linguistic Patterns for Generation. - Moirangthem Tiken Singh, Adnan Arif:
Reinforcement-Learned Unequal Error Protection for Quantized Semantic Embeddings. - Danial Sharifrazi, Nouman Javed, Mojtaba Mohammadi, Seyede Sana Salehi, Roohallah Alizadehsani, Prasad N. Paradkar, U. Rajendra Acharya, Asim Bhatti:
SSI-GAN: Semi-Supervised Swin-Inspired Generative Adversarial Networks for Neuronal Spike Classification. - Moirangthem Tiken Singh, Manibhushan Yaikhom:
Optimized Hybrid Feature Engineering for Resource-Efficient Arrhythmia Detection in ECG Signals: An Optimization Framework. - Lisen Ding, Xiangyi Peng, Dongling Wang:
Temporal Two-Grid Compact Difference Scheme for Benjamin-Bona-Mahony-Burgers Equation. - Salma P. González-Sabbagh, Antonio Robles-Kelly, Shang Gao:
DichroGAN: Towards Restoration of in-air Colours of Seafloor from Satellite Imagery. - Shaswat Mohanty:
StockBot 2.0: Vanilla LSTMs Outperform Transformer-based Forecasting for Stock Prices. - Wang Xing, Wei Song, Siyu Lin, Chen Wu, Zhesi Li, Man Wang:
Knowledge Distillation for Temporal Knowledge Graph Reasoning with Large Language Models. - Xiaokun Sun, Zeyu Cai, Hao Tang
, Ying Tai, Jian Yang, Zhenyu Zhang:
MorphAny3D: Unleashing the Power of Structured Latent in 3D Morphing. - Tanmay Singla, Berk Çakar, Paschal C. Amusuo, James C. Davis:
Towards a Benchmark for Dependency Decision-Making. - Md Ahmed Al Muzaddid, William J. Beksi:
CropNeRF: A Neural Radiance Field-Based Framework for Crop Counting. - David B. Lomet, Rui Wang:
Avoiding Thread Stalls and Switches in Key-Value Stores: New Latch-Free Techniques and More. - Han Liu, Yubo Fan, Hao Li, Dewei Hu, Daniel Moyer, Zhoubing Xu, Benoit M. Dawant, Ipek Oguz:
IntraStyler: Exemplar-based Style Synthesis for Cross-modality Domain Adaptation. - Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin:
Overlooked Safety Vulnerability in LLMs: Malicious Intelligent Optimization Algorithm Request and its Jailbreak. - Omar Sharif, Eftekhar Hossain, Patrick Ng:
From Sight to Insight: Improving Visual Reasoning Capabilities of Multimodal Models via Reinforcement Learning. - Jinning Zhang, Jie Song, Wenhui Tu, Zecheng Li, Jingxuan Li, Jin Li, Xuan Liu, Taole Sha, Zichen Wei, Yan Li:
From Evidence-Based Medicine to Knowledge Graph: Retrieval-Augmented Generation for Sports Rehabilitation and a Domain Benchmark. - Minhyeok Yun, Yong-Hoon Choi:
Latent Flow Matching for Expressive Singing Voice Synthesis. - Ellie Thieu, Jifan Zhang, Haoyue Bai:
Unknown Aware AI-Generated Content Attribution. - Arnab Mallick, Indraveni Chebolu:
μACP: A Formal Calculus for Expressive, Resource-Constrained Agent Communication. - Mohammadreza Doostmohammadian, Hamid R. Rabiee:
Impact of Clustering on the Observability and Controllability of Complex Networks. - Jie Li, Kwan-Yee K. Wong, Kai Han:
LooC: Effective Low-Dimensional Codebook for Compositional Vector Quantization. - Leonard Lin, Adam Lensenmayer:
JP-TL-Bench: Anchored Pairwise LLM Evaluation for Bidirectional Japanese-English Translation. - Yan Sun, Ming Cai, Stanley Kok:
Talk Less, Verify More: Improving LLM Assistants with Semantic Checks and Execution Feedback. - Aobo Li, Jinjian Wu, Yongxu Liu, Leida Li, Weisheng Dong:
Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions. - Shanli Xing, Yiyan Zhai, Alexander Jiang, Yixin Dong, Yong Wu, Zihao Ye, Charlie Ruan, Yingyi Huang, Yineng Zhang, Liangsheng Yin, Aksara Bayyapu, Luis Ceze, Tianqi Chen:
FlashInfer-Bench: Building the Virtuous Cycle for AI-driven LLM Systems. - Ziyan Zhang, Bo Jiang, Jin Tang:
Robust Graph Fine-Tuning with Adversarial Graph Prompting. - Pritish Saha, Chandrav Rajbangshi, Rudra Goyal, Mohit Goyal, Anurag Deo, Biswajit Roy, Ningthoujam Dhanachandra Singh, Raxit Goswami, Amitava Das:
GRIT - Geometry-Aware PEFT with K-FACPreconditioning, Fisher-Guided Reprojection, andDynamic Rank Adaptation. - Victor Wen, Zedong Peng:
Advanced Vulnerability Scanning for Open Source Software: Detection and Mitigation of Log4j Vulnerabilities. - Chao Yang, Haoyuan Zheng, Yue Ma:
Application Research of a Deep Learning Model Integrating CycleGAN and YOLO in PCB Infrared Defect Detection. - Julia Di, Kenneth A. W. Hoffmann, Tony G. Chen, Tian-Ao Ren, Mark R. Cutkosky:
SLAP: Slapband-based Autonomous Perching Drone with Failure Recovery for Vertical Tree Trunks. - Zongwei Wang, Bincheng Gu, Hongyu Yu, Junliang Yu, Tao He, Jiayin Feng, Chenghua Lin, Min Gao:
When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered Agents. - Anirudha Ghosh, Ritam Sarkar, Debaditya Barman:
Context-Aware Pesticide Recommendation via Few-Shot Pest Recognition for Precision Agriculture. - Osvaldo Simeone:
Modern Neuromorphic AI: From Intra-Token to Inter-Token Processing. - Kwonyeol Park, Hyuckjin Choi, Geonho Han, Gyoseung Lee, Yeonjoon Choi, Sunwoo Park, Junil Choi:
Evolution of UE in Massive MIMO Systems for 6G: From Passive to Active. - Rajendra Kumar Solanki, Vijay Laxmi, Manoj Singh Gaur:
Evolution of Android's Permission-based Security Model and Challenges. - Md Hasan Saju, Maher Muhtadi, Akramul Azim:
An Empirical Evaluation of LLM-Based Approaches for Code Vulnerability Detection: RAG, SFT, and Dual-Agent Systems. - Aly Sabri Abdalla, Vuk Marojevic:
Next Generation Intelligent Low-Altitude Economy Deployments: The O-RAN Perspective. - Kohei Yamamoto, Tomohiro Kikuchi:
TotalFM: An Organ-Separated Framework for 3D-CT Vision Foundation Models. - Qianli Wang, Van Bach Nguyen, Yihong Liu, Fedor Splitt, Nils Feldhus, Christin Seifert, Hinrich Schütze, Sebastian Möller, Vera Schmitt:
Parallel Universes, Parallel Languages: A Comprehensive Study on LLM-based Multilingual Counterfactual Example Generation. - He Wang, Longteng Guo, Pengkang Huo, Xuanxu Lin, Yichen Yuan, Jie Jiang, Jing Liu:
S1-MMAlign: A Large-Scale, Multi-Disciplinary Dataset for Scientific Figure-Text Understanding. - Yi Sun, Xinhao Zhong, Hongyan Li, Yimin Zhou, Junhao Li, Bin Chen, Xuan Wang:
ActErase: A Training-Free Paradigm for Precise Concept Erasure via Activation Patching. - Doyoung Kim, Zhiwei Ren, Jie Hao, Zhongkai Sun, Lichao Wang, Xiyao Ma, Zack Ye, Xu Han, Jun Yin, Heng Ji, Wei Shen, Xing Fan, Benjamin Z. Yao, Chenlei Guo:
Beyond Perfect APIs: A Comprehensive Evaluation of LLM Agents Under Real-World API Complexity. - Chaodong Tong, Qi Zhang, Chen Li, Lei Jiang, Yanbing Liu:
FaithSCAN: Model-Driven Single-Pass Hallucination Detection for Faithful Visual Question Answering. - Fumiya Morimoto, Ryuto Morita, Satoshi Ono:
Rectifying Adversarial Examples Using Their Vulnerabilities. - Yuya Nagai, Hiromitsu Nakamura, Narito Shinmachi, Yuta Higashizono, Satoshi Ono:
Vehicle Painting Robot Path Planning Using Hierarchical Optimization. - Alexandr Andoni, Themistoklis Haris, Esty Kelman, Krzysztof Onak:
Efficient Algorithms for Adversarially Robust Approximate Nearest Neighbor Search. - Tamer Afifi, Abdelfatah Hegazy, Ehab Abousaif:
From Consensus to Chaos: A Vulnerability Assessment of the RAFT Algorithm. - Weijie Wang, Peizhuo Lv, Yan Wang, Rujie Dai, Guokun Xu, Qiujian Lv, Hangcheng Liu, Weiqing Huang, Wei Dong, Jiaheng Zhang:
Making Theft Useless: Adulteration-Based Protection of Proprietary Knowledge Graphs in GraphRAG Systems. - Dusan Nemec, Gal Versano, Itai Savin, Vojtech Simák, Juraj Kekelak, Itzik Klein:
Pure Inertial Navigation in Challenging Environments with Wheeled and Chassis Mounted Inertial Sensors. - Hongxi Li, Chunlin Huang:
Task-Driven Kernel Flows: Label Rank Compression and Laplacian Spectral Filtering. - Chi Ding, Junxiao Xue, Xinyi Yin, Shi Chen, Yunyun Shi, Yiduo Wang, Fengjian Xue, Xuecheng Wu:
Disentangling Hardness from Noise: An Uncertainty-Driven Model-Agnostic Framework for Long-Tailed Remote Sensing Classification. - Qianli Wang, Nils Feldhus, Pepa Atanasova, Fedor Splitt, Simon Ostermann, Sebastian Möller, Vera Schmitt:
Can Large Language Models Still Explain Themselves? Investigating the Impact of Quantization on Self-Explanations. - Jun-Jee Chao, Volkan Isler:
SV-GS: Sparse View 4D Reconstruction with Skeleton-Driven Gaussian Splatting. - Ali Anaissi, Ali Braytee, Weidong Huang, Junaid Akram, Alaa Farhat, Jie Hua:
Towards Automated Differential Diagnosis of Skin Diseases Using Deep Learning and Imbalance-Aware Strategies. - S. Gokul Krishnan, Mohd Asim Aftab, Nabil Mohammed, Shehab Ahmed, Charalambos Konstantinou:
Impact Assessment of Heterogeneous Grid Support Functions in Smart Inverter Deployments. - Sixue Xing, Xuanye Xia, Kerui Wu, Meng Jiang, Jintai Chen, Tianfan Fu:
ClinicalReTrial: A Self-Evolving AI Agent for Clinical Trial Protocol Optimization. - Bryan Constantine Sadihin, Yihao Meng, Michael Hua Wang, Matteo Jiahao Chen, Hang Su:
TimeColor: Flexible Reference Colorization via Temporal Concatenation. - Tzu-Hung Huang, Yun-En Tsai, Yun-Ning Hung, Chih-Wei Wu, I-Chieh Wei, Li Su:
Timed text extraction from Taiwanese Kua-á-hì TV series. - Allal Guessab, Federico Nudo:
Spectral Schur analysis of structured moment matrices for quadratic histopolation. - Yuxin Li, Xiangyu Zhang, Yifei Li, Zhiwei Guo, Haoyang Zhang, Eng Siong Chng, Cuntai Guan:
DepFlow: Disentangled Speech Generation to Mitigate Semantic Bias in Depression Detection. - Mouna Ammar, Marvin Hofer, Erhard Rahm:
Combining Time-Series and Graph Data: A Survey of Existing Systems and Approaches. - Prashant Kumar, Yukiyasu Domae, Weiwei Wan, Kensuke Harada:
Replaceable Bit-based Gripper for Picking Cluttered Food Items. - Emilio Ferrara:
The Generative AI Paradox: GenAI and the Erosion of Trust, the Corrosion of Information Verification, and the Demise of Truth. - Anns Ijaz, Muhammad Azeem Javed:
VisNet: Efficient Person Re-Identification via Alpha-Divergence Loss, Feature Fusion and Dynamic Multi-Task Learning. - David Millard, Ali Baheri:
Can Optimal Transport Improve Federated Inverse Reinforcement Learning? - Feng-Qi Cui, Jinyang Huang, Sirui Zhao, Jinglong Guo, Qifan Cai, Xin Yan, Zhi Liu:
ReMA: A Training-Free Plug-and-Play Mixing Augmentation for Video Behavior Recognition. - Hao Wu, Jiyu Zhu, Amir Kafshdar Goharshady, Jie An, Bican Xia, Naijun Zhan:
Quantifier Elimination Meets Treewidth. - Estefanía Recayte:
On the Error Floor Evaluation of NOMA-Irregular Repetition Slotted ALOHA. - Gerhard Stenzel, Michael Kölle, Tobias Rohe, Julian Hager, Leo Sünkel, Maximilian Zorn, Claudia Linnhoff-Popien:
Quantum King-Ring Domination in Chess: A QAOA Approach. - Eslam Eldeeb, Hirley Alves:
Offline Multi-Agent Reinforcement Learning for 6G Communications: Fundamentals, Applications and Future Directions. - Siyan Fang, Long Peng, Yuntao Wang, Ruonan Wei, Yuehuan Wang:
Depth-Synergized Mamba Meets Memory Experts for All-Day Image Reflection Separation. - Alicia Vidler, Gal A. Kaminka:
Multiagent Reinforcement Learning for Liquidity Games. - Torin Hopkins, Shih-Yu Ma, Suibi Che-Chuan Weng, Ming-Yuan Pai, Ellen Yi-Luen Do, Luca Turchet:
MR-DAW: Towards Collaborative Digital Audio Workstations in Mixed Reality. - Naiqi Zhang, Chuancheng Shi, Jingtong Dou, Wenhua Wu, Fei Shen, Jianhua Cao:
HarmoniAD: Harmonizing Local Structures and Global Semantics for Anomaly Detection. - Yingzhi Tang, Qijian Zhang, Junhui Hou:
Joint Geometry-Appearance Human Reconstruction in a Unified Latent Space via Bridge Diffusion. - Angshul Majumdar:
Sparse Probabilistic Coalition Structure Generation: Bayesian Greedy Pursuit and ℓ1 Relaxations. - Juan Pedro Hecht, Hugo Daniel Scolnik:
PQC standards alternatives - reliable semantically secure key encapsulation mechanism and digital signature protocols using the rank-deficient matrix power function. - Suibi Che-Chuan Weng, Torin Hopkins, Shih-Yu Ma, Amy Banic, Ellen Yi-Luen Do:
Effects of Limited Field of View on Musical Collaboration Experience with Avatars in Extended Reality. - Brahim Khalil Sedraoui, Abdelmadjid Benmachiche, Amina Makhlouf, Chaouki Chemam:
Applications of Secure Multi-Party Computation in Financial Services. - Alireza Rezaee, Niloofar Nobahari, Amin Asgarifar, Farshid Hajati:
Smart Fault Detection in Nanosatellite Electrical Power System. - Alaa Saleh, Praveen Kumar Donta, Roberto Morabito, Sasu Tarkoma, Anders Lindgren, Qiyang Zhang, Schahram Dustdar, Susanna Pirttikangas, Lauri Lovén:
Bio-inspired Agentic Self-healing Framework for Resilient Distributed Computing Continuum Systems. - Estefanía Recayte, Carla Amatetti:
Multi-Satellite NOMA-Irregular Repetition Slotted ALOHA for IoT Networks. - Estefanía Recayte, Leonardo Badia, Andrea Munari:
Two-Step Interference Cancellation for Energy Saving in Irregular Repetition Slotted ALOHA. - Mugizi Bruce, Sudi Murindanyi, Olivia Nakacwa, Andrew Katumba:
Intelligent Traffic Surveillance for Real-Time Vehicle Detection, License Plate Recognition, and Speed Estimation. - Yuhao Zhang, Zhongliang Yang, Linna Zhou:
Robust Uncertainty Quantification for Factual Generation of Large Language Models. - Liuxiang Qiu, Hui Da, Yuzhen Niu, Tiesong Zhao, Yang Cao, Zheng-Jun Zha:
OmniVaT: Single Domain Generalization for Multimodal Visual-Tactile Learning. - Saif E. Nouma, Gokhan Mumcu, Attila A. Yavuz:
Diamond: Design and Implementation of Breach-Resilient Authenticated Encryption Framework For Internet of Things. - Jiajun Zhou, Changhui Sun, Meng Shen, Shanqing Yu, Qi Xuan:
Traffic-MoE: A Sparse Foundation Model for Network Traffic Analysis. - Söhnke Benedikt Fischedick, Daniel Seichter, Benedict Stephan, Robin Schmidt, Horst-Michael Gross:
Efficient Prediction of Dense Visual Embeddings via Distillation and RGB-D Transformers. - Jamiu Adekunle Idowu, Ahmed S. Almasoud, Ayman Alfahid:
Mapping Human Anti-collusion Mechanisms to Multi-agent AI. - Rachit Chhaya, Anirban Dasgupta, Dan Feldman, Supratim Shit:
Deterministic Coreset for Lp Subspace. - Jiandong Shao, Raphael Tang, Crystina Zhang, Karin Sevegnani, Pontus Stenetorp, Jianfei Yang, Yao Lu:
The Role of Mixed-Language Documents for Multilingual Large Language Model Pretraining. - Taj Gillin, Adam Lalani, Kenneth Zhang, Marcel Mateos Salles:
BERT-JEPA: Reorganizing CLS Embeddings for Language-Invariant Semantics. - Nandish Chattopadhyay, Abdul Basit, Amira Guesmi, Muhammad Abdullah Hanif, Bassem Ouni, Muhammad Shafique:
PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices. - Aarya Sumuk:
Mask-Conditioned Voxel Diffusion for Joint Geometry and Color Inpainting. - Seungyeon Cho, Tae-Kyun Kim:
BHaRNet: Reliability-Aware Body-Hand Modality Expertized Networks for Fine-grained Skeleton Action Recognition. - Joshua Shen:
Ouroboros AutoSyn: Time Based Permissionless Synchrony Model for PoS. - Taufiq Islam Protick, Sai Teja Peddinti, Nina Taft, Anupam Das:
LLM-Powered Analysis of IoT User Reviews: Tracking and Ranking Security and Privacy Concerns. - Chao Hu, Wenhao Zeng, Yuling Shi, Beijun Shen, Xiaodong Gu:
In Line with Context: Repository-Level Code Generation via Context Inlining. - Hanzhe Li, Bingchen Lin, Mengyuan Xu:
Word Frequency Counting Based on Serverless MapReduce. - Chong Huang, Xuyang Chen, Jingfu Li, Pei Xiao, Gaojie Chen, Rahim Tafazolli:
Semantic Transmission Framework in Direct Satellite Communications. - Nelly Elsayed:
Unseen Risks of Clinical Speech-to-Text Systems: Transparency, Privacy, and Reliability Challenges in AI-Driven Documentation. - Md Mahbub Hasan, Marcus Sternhagen, Krishna Chandra Roy:
Engineering Attack Vectors and Detecting Anomalies in Additive Manufacturing. - Brahim Khalil Sedraoui, Abdelmadjid Benmachiche, Amina Makhlouf, Chaouki Chemam:
Exploring the Integration of Differential Privacy in Cybersecurity Analytics: Balancing Data Utility and Privacy in Threat Intelligence. - Somnath Bhattacharjee, Markus Bläser, Pranjal Dutta, Saswata Mukherjee:
Exponential lower bound via exponential sums. - Biao Wu, Meng Fang, Ling Chen, Ke Xu, Tao Cheng, Jun Wang:
Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach. - Muhammad Bilal, Omer Tariq, Hasan Ahmed:
NOS-Gate: Queue-Aware Streaming IDS for Consumer Gateways under Timing-Controlled Evasion. - Nouar AlDahoul, Aznul Qalid Md Sabri, Ali Mohammed Mansoor:
Real-Time Human Detection for Aerial Captured Video Sequences via Deep Models. - Sariel Har-Peled:
An Output Sensitive Algorithm for Discrete Convex Hulls. - Yuxue Yang, Lue Fan, Ziqi Shi, Junran Peng, Feng Wang, Zhaoxiang Zhang:
NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos. - Fernanda Sobrino, Adolfo De Unánue T., Edgar Hernández, Patricia Villa, Elena Villalobos, David Aké, Stephany Cisneros, Cristian Paul Camacho Osnay, Armando García Neri, Israel Hernández:
Designing AI for Prosecutorial Governance: Case Prioritization and Statutory Oversight in Mexico. - Amey Agrawal, Mayank Yadav, Sukrit Kumar, Anirudha Agrawal, Garv Ghai, Souradeep Bera, Elton Pinto, Sirish Gambhira, Mohammad Adain, Kasra Sohrab, Chus Antonanzas, Alexey Tumanov:
Revati: Transparent GPU-Free Time-Warp Emulation for LLM Serving. - Tao Wu, Qing Xu, Xiangjian He, Oakleigh Weekes, James Brown, Wenting Duan:
RoLID-11K: A Dashcam Dataset for Small-Object Roadside Litter Detection. - Chunmei Wang, Shangyou Zhang:
A weak Galerkin least squares finite element method for linear convection equations in non-divergence form. - Weng Ding, Yi Han, Mu-Jiang-Shan Wang:
Adaptive Causal Coordination Detection for Social Media: A Memory-Guided Framework with Semi-Supervised Learning. - Théophile Chaumont-Frelet:
Guaranteed stability bounds for second-order PDE problems satisfying a Garding inequality. - Alistair Plum, Laura Bernardy, Tharindu Ranasinghe:
Do LLMs Judge Distantly Supervised Named Entity Labels Well? Constructing the JudgeWEL Dataset. - Tyler Ward, Abdullah Imran:
ABFR-KAN: Kolmogorov-Arnold Networks for Functional Brain Analysis. - Yifan Zhang, Yifeng Liu, Mengdi Wang, Quanquan Gu:
Deep Delta Learning. - Prajwal Panth, Sahaj Raj Malla:
Secure, Verifiable, and Scalable Multi-Client Data Sharing via Consensus-Based Privacy-Preserving Data Distribution. - Alessio Di Rubbo, Mattia Neri, Remo Pareschi, Marco Pedroni, Roberto Valtancoli, Paolino Zica:
Can Semantic Methods Enhance Team Sports Tactics? A Methodology for Football with Broader Applications. - Kazuma Miura, Sarthak Pathak, Kazunori Umeda:
Robust Assembly Progress Estimation via Deep Metric Learning. - Shengjun Zhang, Zhang Zhang, Chensheng Dai, Yueqi Duan:
E-GRPO: High Entropy Steps Drive Effective Reinforcement Learning for Flow Models. - Md Zesun Ahmed Mia, Malyaban Bal, Abhronil Sengupta:
RMAAT: Astrocyte-Inspired Memory Compression and Replay for Efficient Long-Context Transformers. - Mattia Billa, Giovanni Orlandi, Veronica Guidetti, Federica Mandreoli:
A Comparative Analysis of Interpretable Machine Learning Methods. - Rares Folea, Emil Slusanschi:
On Plagiarism and Software Plagiarism. - Kian Ahrabian, Eric Boxer, Jay Pujara:
Toward Better Temporal Structures for Geopolitical Events Forecasting. - Gabriel Sac Himelfarb, Moshe Schwartz:
On the burst-covering radius of binary cyclic codes. - Muhammad Shahmeer Khan:
Comparative Efficiency Analysis of Lightweight Transformer Models: A Multi-Domain Empirical Benchmark for Enterprise NLP Deployment. - Miseon Park, Kijung Yoon:
A Comparative Study of Adaptation Strategies for Time Series Foundation Models in Anomaly Detection. - Benjamin Cookson, Nisarg Shah, Ziqi Yu:
Unifying Proportional Fairness in Centroid and Non-Centroid Clustering. - Dimitris Vartziotis:
Language as Mathematical Structure: Examining Semantic Field Theory Against Language Games. - Elham Cheshmikhani, Hamed Farbeh, Hossein Asadi:
Enhancing Reliability of STT-MRAM Caches by Eliminating Read Disturbance Accumulation. - Hongbin Lin, Chenyang Ren, Juangui Xu, Zhengyu Hu, Cheng-Long Wang, Yao Shu, Hui Xiong, Jingfeng Zhang, Di Wang, Lijie Hu:
Controllable Concept Bottleneck Models. - Yongtao Qu, Shangzhe Li, Weitong Zhang:
Imitation from Observations with Trajectory-Level Generative Embeddings. - Hyunjun Kim:
Defensive M2S: Training Guardrail Models on Compressed Multi-turn Conversations. - Amit Daniely:
Deep Networks Learn Deep Hierarchical Models. - Elham Cheshmikhani, Hamed Farbeh, Hossein Asadi:
ROBIN: Incremental Oblique Interleaved ECC for Reliability Improvement in STT-MRAM Caches. - Hyunjun Kim:
Geometric Regularization in Mixture-of-Experts: The Disconnect Between Weights and Activations. - Saurav Sengupta, Scott Kilianski, Suchetha Sharma, Sakina Lashkeri, Ashley McHugh, Mark Beenhakker, Donald E. Brown:
Detecting Spike Wave Discharges (SWD) using 1-dimensional Residual UNet. - Shuang Wu, Arash A. Amini:
Laplacian Kernelized Bandit. - Dennis Christmann, Juan F. Gutierrez, Sthiti Padhi, Patrick Plörer, Aditya Takur, Simona Silvestri, Andres Gomez:
Space Debris Removal using Nano-Satellites controlled by Low-Power Autonomous Agents. - Negin Ayoughi, David Dewar, Shiva Nejati, Mehrdad Sabetzadeh:
DSL or Code? Evaluating the Quality of LLM-Generated Algebraic Specifications: A Case Study in Optimization at Kinaxis. - Lucas Castro, Yousef Navidtehrani, Covadonga Betegón, E. Martínez-Pañeda:
Coupled thermo-chemo-mechanical phase field-based modelling of hydrogen-assisted cracking in girth welds. - Sauro Succi, Abhisek Ganguly, Santosh Ansumali:
Neural Chains and Discrete Dynamical Systems. - B. Sankar, Srinidhi Ranjini Girish, Aadya Bharti, Dibakar Sen:
Progressive Ideation using an Agentic AI Framework for Human-AI Co-Creation. - Mohammed Latif Siddiq, Xinye Zhao, Vinicius Carvalho Lopes, Beatrice Casey, Joanna C. S. Santos:
Security in the Age of AI Teammates: An Empirical Study of Agentic Pull Requests on GitHub. - Tie Ma, Yixi Chen, Vaastav Anand, Alessandro Cornacchia, Amândio R. Faustino, Guanheng Liu, Shan Zhang, Hongbin Luo, Suhaib A. Fahmy, Zafar Qazi, Marco Canini:
MAESTRO: Multi-Agent Evaluation Suite for Testing, Reliability, and Observability. - Abhiram Bellur, Mohammed Raihan Ullah, Fraol Batole, Mohit Kansara, Masaharu Morimoto, Kai Ishikawa, Haifeng Chen, Yaroslav Zharov, Timofey Bryksin, Tien N. Nguyen, Hridesh Rajan, Danny Dig:
Multi-Agent Coordinated Rename Refactoring. - Alexander M. Esser, Jens Dörpinghaus:
Noise-Aware Named Entity Recognition for Historical VET Documents. - Shuwei Zhou, Christian Haeffner, Shuancheng Wang, Sophie Charlotte Stebner, Zhen Liao, Bing Yang, Zhichao Wei, Sebastian Münstermann:
Transfer-learned Kolosov-Muskhelishvili Informed Neural Networks for Fracture Mechanics. - Brady D. Lund, Scott J. Warren, Zoe A. Teel:
Measuring University Students Satisfaction with Traditional Search Engines and Generative AI Tools as Information Sources. - Marc Seidel, Mahathi Anand, Frank Allgöwer:
Safety for Weakly-Hard Control Systems via Graph-Based Barrier Functions. - Jan Rawa, Julian Sienkiewicz:
Quantifying correlations between information overload and fake news during COVID-19 pandemic: a Reddit study with BERT model approach. - Lev Sorokin, Ivan Vasilev, Ken E. Friedl, Andrea Stocco:
STELLAR: A Search-Based Testing Framework for Large Language Model Applications. - Ahmad Rezaei, Mohsen Gholami, Saeed Ranjbar Alvar, Kevin Cannons, Mohammad Asiful Hossain, Zhou Weimin, Shunbo Zhou, Yong Zhang, Mohammad Akbari:
CPPO: Contrastive Perception for Vision Language Policy Optimization. - Miaowei Wang, Jakub Zadrozny, Oisin Mac Aodha, Amir Vaxman:
MotionPhysics: Learnable Motion Distillation for Text-Guided Simulation. - Mario de Lucio, Pavlos P. Vlachos, Héctor Gómez:
Effect of Electric Charge on Biotherapeutic Transport, Binding and Absorption: A Computational Study. - Lineesha Kamana, Akshita Ananda Subramanian, Mehuli Ghosh, Suman Saha:
Rule-Based Approaches to Atomic Sentence Extraction. - Vidyut Sriram, Sawan Pandita, Achintya Lakshmanan, Aneesh Shamraj, Suman Saha:
Improving LLM-Assisted Secure Code Generation through Retrieval-Augmented-Generation and Multi-Tool Feedback. - Jetlir Duraj, Ishita K. Khan, Kilian Merkelbach, Mehran Elyasi:
A Chain-of-Thought Approach to Semantic Query Categorization in e-Commerce Taxonomies. - Laksh Advani:
When Small Models Are Right for Wrong Reasons: Process Verification for Trustworthy Agents. - Liv G. d'Aliberti, Manoel Horta Ribeiro:
The Illusion of Insight in Reasoning Models. - Laksh Advani:
Trajectory Guard - A Lightweight, Sequence-Aware Model for Real-Time Anomaly Detection in Agentic AI. - Dristi Datta, Tanmoy Debnath, Minh Chau, Manoranjan Paul, Gourab Adhikary, Md Geaur Rahman:
A Sparse-Attention Deep Learning Model Integrating Heterogeneous Multimodal Features for Parkinson's Disease Severity Profiling. - Cameron Hickert, Sirui Li, Zhengbing He, Cathy Wu:
Probability-Aware Parking Selection. - Andrés Fábrega, James Austgen, Samuel Breckenridge, Jay Yu, Amy Zhao, Sarah Allen, Aditya Saraf, Ari Juels:
The CoinAlg Bind: Profitability-Fairness Tradeoffs in Collective Investment Algorithms. - Ravi Teja Pagidoju:
Optimizing LSTM Neural Networks for Resource-Constrained Retail Sales Forecasting: A Model Compression Study. - Yuchuan Ye, Ming Ding, Youjia Chen, Peng Cheng, Dusit Niyato:
Federated Customization of Large Models: Approaches, Experiments, and Insights. - Ravi Teja Pagidoju, Shriya Agarwal:
Cloud-Native Generative AI for Automated Planogram Synthesis: A Diffusion Model Approach for Multi-Store Retail Optimization. - Ravi Teja Pagidoju:
Cost-Performance Analysis of Cloud-Based Retail Point-of-Sale Systems: A Comparative Study of Google Cloud Platform and Microsoft Azure. - Wenrui Li, Hongtao Chen, Yao Xiao, Wangmeng Zuo, Jiantao Zhou, Yonghong Tian, Xiaopeng Fan:
All-in-One Video Restoration under Smoothly Evolving Unknown Weather Degradations. - Ruiqiang Zhang, Hengyi Wang, Chang Liu, Guanjie Wang, Zehua Ma, Weiming Zhang:
FreeText: Training-Free Text Rendering in Diffusion Transformers via Attention Localization and Spectral Glyph Injection. - Yuelyu Ji, Zhuochun Li, Rui Meng, Daqing He:
Retrieval-Reasoning Processes for Multi-hop Question Answering: A Four-Axis Design Framework and Empirical Trends. - Guangqian Guo, Pengfei Chen, Yong Guo, Huafeng Chen, Boqiang Zhang, Shan Gao:
Boosting Segment Anything Model to Generalize Visually Non-Salient Scenarios. - Jiacheng Sui, Yujie Zhou, Li Niu:
DynaDrag: Dynamic Drag-Style Image Editing by Motion Prediction. - Chung-Wei Victor Yuan:
ECR: Manifold-Guided Semantic Cues for Compact Language Models. - Varun Agrawal, Frank Dellaert:
Variable Elimination in Hybrid Factor Graphs for Discrete-Continuous Inference & Estimation. - Chenxi Zhao, Dong Wu, Weiyi Kong, Oskar J. Haidn, Xiangyu Hu:
Toward Efficient FSI Modeling in Patient-Specific Arteries: SPH Simulation of Blood Flow in Thin Deformable Vessels. - Kooktae Lee:
Optimal Transport-Based Decentralized Multi-Agent Distribution Matching. - Zhiheng Guo, Zhaoyang Liu, Zihan Cen, Chenyuan Feng, Xinghua Sun, Xiang Chen, Tony Q. S. Quek, Xijun Wang:
CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge. - Shuang Li, Yibing Wang, Jian Gao, Chulhong Kim, Seongwook Choi, Yu Zhang, Qian Chen, Yao Yao, Changhui Li:
SlingBAG Pro: Accelerating point cloud-based iterative reconstruction for 3D photoacoustic imaging with arbitrary array geometries. - Rajarshi Roy, Nasrin Imanpour, Ashhar Aziz, Shashwat Bajpai, Gurpreet Singh, Shwetangshu Biswas, Kapil Wanaskar, Parth Patwa, Subhankar Ghosh, Shreyas Dixit, Nilesh Ranjan Pal, Vipula Rawte, Ritvik Garimella, Gaytri Jena, Vasu Sharma, Vinija Jain, Aman Chadha, Aishwarya Naresh Reganti, Amitava Das:
A Comprehensive Dataset for Human vs. AI Generated Image Detection. - Lennon Shikhman:
Entropy Production in Machine Learning Under Fokker-Planck Probability Flow. - Abu Hanif Muhammad Syarubany, Farhan Zaki Rahmani, Trio Widianto:
LLM-Based Agentic Exploration for Robot Navigation & Manipulation with Skill Orchestration. - Trung Dao, Minh Nguyen, Son Do, Hoang Tran:
Cyberscurity Threats and Defense Mechanisms in IoT network. - Yuang Zheng, Yuxiang Mei, Dongxing Xu, Jie Chen, Yanhua Long:
A Language-Agnostic Hierarchical LoRA-MoE Architecture for CTC-based Multilingual ASR. - Jason Quantrill, Noura Khajehnouri, Zihan Guo, Manar H. Alalfi:
Cracking IoT Security: Can LLMs Outsmart Static Analysis Tools? - Robert Ganian, Hung P. Hoang, Christian Komusiewicz, Nils Morawietz:
A Parameterized-Complexity Framework for Finding Local Optima. - Jintao Lin, Bowen Dong, Weikang Shi, Chenyang Lei, Suiyun Zhang, Rui Liu, Xihui Liu:
AEGIS: Exploring the Limit of World Knowledge Capabilities for Unified Mulitmodal Models. - Hewen Xiao, Jie Mei, Guangfu Ma, Weiren Wu:
A Cascaded Information Interaction Network for Precise Image Segmentation. - Yueyan Dong, Minghui Xu, Qin Hu, Yinhao Xiao, Qi Luo, Yechao Zhang, Yue Zhang, Xiuzhen Cheng:
Low Rank Comes with Low Security: Gradient Assembly Poisoning Attacks against Distributed LoRA-based LLM Systems. - Jeyun Lee, Junhyoung Lee, Wonbin Kweon, Bowen Jin, Yu Zhang, Susik Yoon, Dongha Lee, Hwanjo Yu, Jiawei Han, Seongku Kang:
Improving Scientific Document Retrieval with Academic Concept Index. - Qixin Liang:
Modeling and Simulating Origami Structures using Bilinear Solid-Shell Element. - Ananya Bhattacharjee, Jina Suh, Mohit Chandra, Javier Hernandez:
User Perceptions of an LLM-Based Chatbot for Cognitive Reappraisal of Stress: Feasibility Study. - Sam Pitruzzello, Atif Ahmad, Sean B. Maynard:
Threat Intelligence Driven IP Protection for Entrepreneurial SMEs. - Sam Pitruzzello, Sean B. Maynard, Atif Ahmad:
Toward a Dynamic Intellectual Property Protection Model in High-Growth SMEs. - Yihe Wang, Zhiqiao Kang, Bohan Chen, Yu Zhang, Xiang Zhang:
Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models. - Ishir Garg, Neel Kolhe, Xuandong Zhao, Dawn Song:
InfoSynth: Information-Guided Benchmark Synthesis for LLMs. - Jennifer Crawford, Amol Khanna, Fred Lu, Amy R. Wagoner, Stella Biderman, André T. Nguyen, Edward Raff:
Adversarial Samples Are Not Created Equal. - Waqas Ahmed, Sheeba Samuel, Kevin L. Coakley, Birgitta König-Ries, Odd Erik Gundersen:
Learning to be Reproducible: Custom Loss Design for Robust Neural Networks. - Obada Kraishan:
The AI Invisibility Effect: Understanding Human-AI Interaction When Users Don't Recognize Artificial Intelligence. - Kanghoon Lee, Hyeonjun Kim, Jiachen Li, Jinkyoo Park:
Priority-Aware Multi-Robot Coverage Path Planning. - Zihan Fang, Zheng Lin, Senkang Hu, Yanan Ma, Yihang Tao, Yiqin Deng, Xianhao Chen, Yuguang Fang:
HFedMoE: Resource-aware Heterogeneous Federated Learning with Mixture-of-Experts. - Mingyu Jeon, Sunjae Yoon, Jonghee Kim, Junyeoung Kim:
GranAlign: Granularity-Aware Alignment Framework for Zero-Shot Video Moment Retrieval. - Junyue Huang, Shaoyuan Li, Xiang Yin:
Stability Verification for Switched Systems using Neural Multiple Lyapunov Functions. - Zhenhong Zhou, Shilinlu Yan, Chuanpu Liu, Qiankun Li, Kun Wang, Zhigang Zeng:
CSSBench: Evaluating the Safety of Lightweight LLMs against Chinese-Specific Adversarial Patterns. - Yiling Wang, Zeyu Zhang, Yiran Wang, Hao Tang:
SafeMo: Linguistically Grounded Unlearning for Trustworthy Text-to-Motion Generation. - Sanjida Islam Era, Ishika Tarin Ime, A. B. M. Alim Al Islam:
Evaluating Web Accessibility and Usability in Bangladesh: A Comparative Analysis of Government and Non-Government Websites. - Sumanth Balaji, Piyush Mishra, Aashraya Sachdeva, Suraj Agrawal:
Beyond IVR: Benchmarking Customer Support LLM Agents for Business-Adherence. - Xianhui Liu, Siqi Jiang, Yi Xie, Yuqing Lin, Siao Liu:
Modality Dominance-Aware Optimization for Embodied RGB-Infrared Perception. - Francisco Aguilera Moreno:
Cycling Race Time Prediction: A Personalized Machine Learning Approach Using Route Topology and Training Load. - Sonia Khetarpaul, P. Y. Sharan:
Traffic-Aware Optimal Taxi Placement Using Graph Neural Network-Based Reinforcement Learning. - Mehdi Heydari Shahna, Pauli Mustalahti, Jouni Mattila:
NMPC-Augmented Visual Navigation and Safe Learning Control for Large-Scale Mobile Robots. - Mehdi Heydari Shahna, Pauli Mustalahti, Jouni Mattila:
Vision-based Goal-Reaching Control for Mobile Robots Using a Hierarchical Learning Framework. - Hareshkumar Jadav, Ranveer Singh, Vaneet Aggarwal:
Stronger Approximation Guarantees for Non-Monotone γ-Weakly DR-Submodular Maximization. - Mogens Plessen:
From 2D to 3D terrain-following area coverage path planning. - Huixin Sun, Linlin Yang, Ronyu Chen, Kerui Gu, Baochang Zhang, Angela Yao, Xianbin Cao:
Noise-Robust Tiny Object Localization with Flows. - Longtian Qiu, Shan Ning, Chuyu Zhang, Jiaxuan Sun, Xuming He:
DA-DPO: Cost-efficient Difficulty-aware Preference Optimization for Reducing MLLM Hallucinations. - Vadim Borisov, Michael Gröger, Mina Mikhael, Richard H. Schreiber:
Do Chatbot LLMs Talk Too Much? The YapBench Benchmark. - Junxiao Xue, Pavel Smirnov, Ziao Li, Yunyun Shi, Shi Chen, Xinyi Yin, Xiaohan Yue, Lei Wang, Yiduo Wang, Feng Lin, Yijia Chen, Xiao Ma, Xiaoran Yan, Qing Zhang, Fengjian Xue, Xuecheng Wu:
RePose: A Real-Time 3D Human Pose Estimation and Biomechanical Analysis Framework for Rehabilitation. - Shuren Gabriel Yu, Sikang Ren, Yongji Tian:
HyperPriv-EPN: Hypergraph Learning with Privileged Knowledge for Ependymoma Prognosis. - Yuelin Wang, Yuqiao Ning, Yanbang Sun, Xiaofei Xie, Zhihua Xie, Yang Chen, Zhen Guo, Shihao Xue, Junjie Wang, Sen Chen:
Towards Understanding and Characterizing Vulnerabilities in Intelligent Connected Vehicles through Real-World Exploits. - Satyam Singh, Sai Niranjan Ramachandran:
KELP: Robust Online Log Parsing Through Evolutionary Grouping Trees. - Alexandra González, Xavier Franch, Silverio Martínez-Fernández:
SEMODS: A Validated Dataset of Open-Source Software Engineering Models. - Nils Rautenberg, Sven Schippkus:
Probabilistic Guarantees for Reducing Contextual Hallucinations in LLMs. - Yuchen Li, Rui Kong, Zhonghao Lyu, Qiyang Li, Xinran Chen, Hengyi Cai, Lingyong Yan, Shuaiqiang Wang, Jiashu Zhao, Guangxu Zhu, Linghe Kong, Guihai Chen, Haoyi Xiong, Dawei Yin:
FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding. - Shrikant Kapse, Priyankkumar Dhrangdhariya, Priya Kedia, Manasi Patwardhan, Shankar Kausley, Soumyadipta Maiti, Beena Rai, Shirish S. Karande:
Quality Detection of Stored Potatoes via Transfer Learning: A CNN and Vision Transformer Approach. - Qiwei Meng:
Physio-DPO: Aligning Large Language Models with the Protein Energy Landscape to Eliminate Structural Hallucinations. - Kasra Fouladi, Hamta Rahmani:
Interpretability-Guided Bi-objective Optimization: Aligning Accuracy and Explainability. - Zhaiyu Chen, Yuanyuan Wang, Yilei Shi, Xiao Xiang Zhu:
Reconstructing Building Height from Spaceborne TomoSAR Point Clouds Using a Dual-Topology Network. - Neeraj Anand, Samyak Jha, Udbhav Bamba, Rahul Rahaman:
CRoPS: A Training-Free Hallucination Mitigation Framework for Vision-Language Models. - Akash Kumar, Sourav Dutta, Goutam Das:
Scheduling for TWDM-EPON-Based Fronthaul Without a Dedicated Registration Wavelength. - Taekyung Ki, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Sung Ju Hwang:
Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation. - Luke Vassallo, Nima Taherinejad:
Three factor delay learning rules for spiking neural networks. - Argha Kamal Samanta, Deepak Mewada, Monalisa Sarma, Debasis Samanta:
Wave2Word: A Multimodal Transformer Framework for Joint EEG-Text Alignment and Multi-Task Representation Learning in Neurocritical Care. - Tianyu Zhao, Llion Jones:
Fast-weight Product Key Memory. - Seungchan Ko, Jiyeon Kim, Dongwook Shin:
Sparse FEONet: A Low-Cost, Memory-Efficient Operator Network via Finite-Element Local Sparsity for Parametric PDEs. - Tony Lee, Andrew Wagenmaker, Karl Pertsch, Percy Liang, Sergey Levine, Chelsea Finn:
RoboReward: General-Purpose Vision-Language Reward Models for Robotics. - Haonan Song, Qingchen Xie, Huan Zhu, Feng Xiao, Luxi Xing, Liu Kang, Fuzhen Li, Zhiyong Zheng, Feng Jiang, Ziheng Li, Kun Yan, Qingyi Si, Yanghua Xiao, Hongcheng Guo, Fan Yang:
IRPM: Intergroup Relative Preference Modeling for Pointwise Generative Reward Models. - Melonie de Almeida, Daniela Ivanova, Tong Shi, John H. Williamson, Paul Henderson:
Pixel-to-4D: Camera-Controlled Image-to-Video Generation with Dynamic 3D Gaussians. - Rachmad Vidya Wicaksana Putra, Pasindu Wickramasinghe, Muhammad Shafique:
QSLM: A Performance- and Memory-aware Quantization Framework with Tiered Search Strategy for Spike-driven Language Models. - Tu Anh Dinh, Jan Niehues:
Sigmoid Head for Quality Estimation under Language Ambiguity. - Alireza Rezaee:
Cost Optimization in Production Line Using Genetic Algorithm. - Mohamed Trabelsi, Hüseyin Uzunalioglu:
TeleDoCTR: Domain-Specific and Contextual Troubleshooting for Telecommunications. - Rajiv Chaitanya M, D. R. Ramesh Babu:
ARISE: Adaptive Reinforcement Integrated with Swarm Exploration. - Qingwen Pu, Kun Xie, Hong Yang, Guocong Zhai:
A Vision-and-Knowledge Enhanced Large Language Model for Generalizable Pedestrian Crossing Behavior Inference. - Chuanyi Lv, Huan Li, Dingyu Yang, Zhongle Xie, Lu Chen, Christian S. Jensen:
DeXOR: Enabling XOR in Decimal Space for Streaming Lossless Compression of Floating-point Data. - Yash Jain, Xinjie Liu, Lasse Peters, David Fridovich-Keil, Ufuk Topcu:
Bayesian Inverse Games with High-Dimensional Multi-Modal Observations. - Maximilian Reinwardt, Michael Eichelbeck, Matthias Althoff:
BSAT: B-Spline Adaptive Tokenizer for Long-Term Time Series Forecasting. - William Regli, Rajmohan Rajaraman, Daniel Lopresti, David Jensen, Mary Lou Maher, Manish Parashar, Mona Singh, Holly A. Yanco:
The Imperative for Grand Challenges in Computing. - Samuel Cerezo, Javier Civera:
DefVINS: Visual-Inertial Odometry for Deformable Scenes. - Cory Fan, Wenchao Zhang:
Efficient Deep Demosaicing with Spatially Downsampled Isotropic Networks. - Wei-Tse Cheng, Yen-Jen Chiou, Yuan-Fu Yang:
RGS-SLAM: Robust Gaussian Splatting SLAM with One-Shot Dense Initialization. - Bernhard C. Geiger, Tobias Koch, Josipa Mihaljevic, Maximilian Toller:
Universal Outlier Hypothesis Testing via Mean- and Median-Based Tests. - Brady D. Lund, Nathan Brown, Ana Roeschley, Gahangir Hossain:
PDPL Metric: Validating a Scale to Measure Personal Data Privacy Literacy Among University Students. - Hao Guan, Li Zhou:
Detecting Performance Degradation under Data Shift in Pathology Vision-Language Model. - Johannes C. Bauer, Paul Geng, Stephan Trattnig, Petr Dokládal, Rüdiger Daub:
Multi-Level Feature Fusion for Continual Learning in Visual Quality Inspection. - Erin Carson, Xinye Chen:
Precision Autotuning for Linear Solvers via Reinforcement Learning. - Mohamed El Guide, Alaa El Ichi, Khalide Jbilou, Lothar Reichel, Hessah Alqahtani:
A Unified Trace-Optimization Framework for Multidimensionality Reduction. - Janez Pers, Jon Muhovic, Andrej Kosir, Bostjan Murovec:
Grading Handwritten Engineering Exams with Multimodal Large Language Models. - Alphaeus Dmonte, Roland Oruche, Tharindu Ranasinghe, Marcos Zampieri, Prasad Calyam:
Exploring the Performance of Large Language Models on Subjective Span Identification Tasks. - Ugurcan Özalp:
Stochastic Actor-Critic: Mitigating Overestimation via Temporal Aleatoric Uncertainty. - Aliakbar Nafar, Chetan Chigurupati, Danial Kamali, Hamid R. Karimian, Parisa Kordjamshidi:
An Agentic Framework for Neuro-Symbolic Programming. - Max Ruiz Luyten, Mihaela van der Schaar:
The Reasoning-Creativity Trade-off: Toward Creativity-Driven Problem Solving. - Sean Groom, Shuo Wang, Francisco Belo, Axl Rice, Liam Anderson:
A Machine Learning Framework for Off Ball Defensive Role and Performance Evaluation in Football. - Dao Sy Duy Minh, Huynh Trung Kiet, Nguyen Lam Phu Quy, Pham Phu Hoa, Tran Chi Nguyen, Nguyen Dinh Ha Duong, Truong Bao Tran:
Early-Stage Prediction of Review Effort in AI-Generated Pull Requests. - Maria Teresa Parreira, Isabel Neto, Filipa Rocha, Wendy Ju:
Calling for Backup: How Children Navigate Successive Robot Communication Failures. - Mayuranath SureshKumar, Hanumanthrao Kannan:
A formal theory on problem space as a semantic world model in systems engineering. - Thomas Katraouras, Dimitrios Rafailidis:
Memory Bank Compression for Continual Adaptation of Large Language Models. - Zhaiyu Chen, Yuqing Wang, Xiao Xiang Zhu:
Unified Primitive Proxies for Structured Shape Completion. - Joslyn Orgill, Andra Rice, Max Fowler, Seth Poulsen:
The Effect of Transparency on Students' Perceptions of AI Graders. - Mihail Stoian:
Mind the Gap. Doubling Constant Parametrization of Weighted Problems: TSP, Max-Cut, and More. - Simon Paquette-Greenbaum, Jiangbo Yu:
LLM Agents for Combinatorial Efficient Frontiers: Investment Portfolio Optimization. - Mingzhe Li, Peer Nowack, Bei Wang:
Spatiotemporal Detection and Uncertainty Visualization of Atmospheric Blocking Events. - Akanksha Chuchra, Shukesh Reddy, Sudeepta Mishra, Abhijit Das, Abhinav Dhall:
Investigating the Viability of Employing Multi-modal Large Language Models in the Context of Audio Deepfake Detection. - Samson Gourevitch, Alain Durmus, Eric Moulines, Jimmy Olsson, Yazid Janati:
Categorical Reparameterization with Denoising Diffusion models. - John Carter, Spiros Mancoridis, Pavlos Protopapas, Brian S. Mitchell, Benji Lilley:
Improving Router Security using BERT. - Sunny Gupta, Amit Sethi:
FedHypeVAE: Federated Learning with Hypernetwork Generated Conditional VAEs for Differentially Private Embedding Sharing. - Jonathan Simkin, Lovedeep Gondara, Zeeshan Rizvi, Gregory Doyle, Jeff Dowden, Dan Bond, Desmond Martin, Raymond Ng:
Adapting Natural Language Processing Models Across Jurisdictions: A pilot Study in Canadian Cancer Registries. - Ruoxin Xiong, Yanyu Wang, Jiannan Cai, Kaijian Liu, Yuansheng Zhu, Pingbo Tang, Nora M. El-Gohary, George Edward Gibson Jr:
Toward Open Science in the AEC Community: An Ecosystem for Sustainable Digital Knowledge Sharing and Reuse. - Shukesh Reddy, Srijan Das, Abhijit Das:
Fusion-SSAT: Unleashing the Potential of Self-supervised Auxiliary Task by Feature Fusion for Generalized Deepfake Detection. - Valentin Noël:
Geometry of Reason: Spectral Signatures of Valid Mathematical Reasoning. - Wenhui Chu, Nikolaos V. Tsekos:
Two Deep Learning Approaches for Automated Segmentation of Left Ventricle in Cine Cardiac MRI. - Jiewen Chan, Zhenjun Zhao, Yu-Lun Liu:
AdaGaR: Adaptive Gabor Representation for Dynamic Scene Reconstruction. - Hugues Draelants:
The Qualitative Laboratory: Theory Prototyping and Hypothesis Generation with Large Language Models. - Adiv Brander Cari Quispe:
Aplicacion de analitica de datos para la deteccion de anomalias y fortalecimiento de la seguridad en la red WiFi del campus universitario de la Universidad Nacional del Altiplano. - Hou Yue, Xiang Shuiying, Zou Tao, Huang Zhiquan, Shi Shangxuan, Xingxing Guo, Zhang Yahui, Zheng Ling, Hao Yue:
Implementation of high-efficiency, lightweight residual spiking neural network processor based on field-programmable gate arrays. - Yves Matanga, Chunling Du, Etienne A. van Wyk:
Optimal Traffic Relief Road Design using Bilevel Programming and Greedy Seeded Simulated Annealing: A Case Study of Kinshasa. - Sarim Chaudhry:
ChronoPlastic Spiking Neural Networks. - Ángel Miguel García-Vico, Huseyin Seker, Muhammad Afzal:
Energy-Efficient Eimeria Parasite Detection Using a Two-Stage Spiking Neural Network Architecture. - Sreerag Puravankara, Vipin P. Veetil:
When Is Degree Enough? Bounds on Degree-Eigenvector Misalignment in Assortative Structured Networks. - Wisnu Uriawan, Andika Nuralamsyah, Abidzar Giffari, Arief Rahman Mubarok, Aisyah Muthmainnah, Najwa Naura Salsabilla Herdiyana:
Implementation of the Spherical Trigonometry Algorithm in a Qibla Direction Application. - Tobias Heimig-Elschner, Changyu Du, Anna Scheuvens, André Borrmann, Jakob Beetz:
A Modular Reference Architecture for MCP-Servers Enabling Agentic BIM Interaction. - Takashi Ushio, Kazuhiro Onishi, Hideyoshi Yanagisawa:
Free Energy-Based Modeling of Emotional Dynamics in Video Advertisements. - Longxiang Shao, Dominik Huesener, Michael Schluse, Juergen Rossmann:
Application of the learning from errors principle in tufting machines. - Abhishek Kumar:
Semantic Alignment of Multilingual Knowledge Graphs via Contextualized Vector Projections. - Ismail Ahmad Abdullah:
MathLedger: A Verifiable Learning Substrate with Ledger-Attested Feedback. - Chandra Sekhar Kubam:
Agentic AI for Autonomous, Explainable, and Real-Time Credit Risk Decision-Making. - Tao An:
CogCanvas: Verbatim-Grounded Artifact Extraction for Long LLM Conversations. - Austin R. Ellis-Mohr, Max Hartman, Lav R. Varshney:
Energy-Aware Routing to Large Reasoning Models. - Luis M. Moreno-Saavedra, Vinícius G. Costa, Adrián Garrido-Sáez, Silvia Jiménez-Fernández, Antonio Portilla-Figueras, Sancho Salcedo-Sanz:
Evolutionary optimization of spatially-distributed multi-sensors placement for indoor surveillance environments with security levels. - Yin Li:
Decomposing LLM Self-Correction: The Accuracy-Correction Paradox and Error Depth Hypothesis. - Alexander Vinogradov:
Can Generative Models Actually Forge Realistic Identity Documents? - Deep Pankajbhai Mehta:
Can We Trust AI Explanations? Evidence of Systematic Underreporting in Chain-of-Thought Reasoning. - Uday Kumar Nidadala, Venkata Bhumika Guthi:
Horizon Reduction as Information Loss in Offline Reinforcement Learning. - Israk Hasan Jone, D. M. Rafiun Bin Masud, Promit Sarker, Sayed Fuad Al Labib, Nazmul Islam, Farhad Billah:
ShrimpXNet: A Transfer Learning Framework for Shrimp Disease Classification with Augmented Regularization, Adversarial Training, and Explainable AI. - Tangtang Wang, Kaijie Zhang, Kuangcong Liu:
A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization. - Julian Evan Chrisnanto, Salsabila Rahma Alia, Nurfauzi Fadillah, Yulison Herry Chrisnanto:
Intrinsic-Metric Physics-Informed Neural Networks (IM-PINN) for Reaction-Diffusion Dynamics on Complex Riemannian Manifolds. - Agniv Roy Choudhury:
Pediatric Pneumonia Detection from Chest X-Rays:A Comparative Study of Transfer Learning and Custom CNNs. - Zahid Ullah, Muhammad Hilal, Eunsoo Lee, Dragan Pamucar, Jihie Kim:
Unified Review and Benchmark of Deep Segmentation Architectures for Cardiac Ultrasound on CAMUS. - Fabian Gröger, Simone Lionetti, Philippe Gottfrois, Álvaro González-Jiménez, Lea Habermacher, Labelling Consortium, Ludovic Amruthalingam, Matthew Groh, Marc Pouly, Alexander A. Navarini:
A Global Atlas of Digital Dermatology to Map Innovation and Disparities. - Bharath Nunepalli:
SLO-Conditioned Action Routing for Retrieval-Augmented Generation: Objective Ablation and Failure Modes. - Ayda Aghaei Nia:
OmniNeuro: A Multimodal HCI Framework for Explainable BCI Feedback via Generative AI and Sonification. - Matthieu Destrade, Oumayma Bounou, Quentin Le Lidec, Jean Ponce, Yann LeCun:
Value-guided action planning with JEPA world models. - Lili Chen, Wensheng Gan, Shuang Liang, Philip S. Yu:
Enhancing Temporal Awareness in LLMs for Temporal Point Processes. - Ryan Shamim:
You Only Need Your Transformer 25% of the Time: Meaning-First Execution for Eliminating Unnecessary Inference. - Ron F. Del Rosario:
Temporal Attack Pattern Detection in Multi-Agent AI Workflows: An Open Framework for Training Trace-Based Security Models. - Aayush Kumar:
EdgeJury: Cross-Reviewed Small-Model Ensembles for Truthful Question Answering on Serverless Edge Inference. - Sameer Rahil, Zain Abdullah Ahmad, Talha Asif:
FedSCAM (Federated Sharpness-Aware Minimization with Clustered Aggregation and Modulation): Scam-resistant SAM for Robust Federated Optimization in Heterogeneous Environments. - Igor Lodin, Sergii Filatov, Vira Filatova, Dmytro Filatov:
Motion-Compensated Latent Semantic Canvases for Visual Situational Awareness on Edge. - Milos Stankovic, Ella Hirche, Sarah Kollatzsch, Julia Nadine Doetsch:
Comment on: Your Brain on ChatGPT: Accumulation of Cognitive Debt When Using an AI Assistant for Essay Writing Tasks. - Yuchi Ma, Yawen Shen, Anu Swatantran, David B. Lobell:
Harvesting AlphaEarth: Benchmarking the Geospatial Foundation Model for Agricultural Downstream Tasks. - Xidi Wang:
Path Integral Solution for Dissipative Generative Dynamics. - Joey Chan, Huan Wang, Haoyu Pan, Wei Wu, Zirong Wang, Zhen Chen, Ershun Pan, Min Xie, Lifeng Xi:
Universal Battery Degradation Forecasting Driven by Foundation Model Across Diverse Chemistries and Conditions. - Markus J. Buehler:
Selective Imperfection as a Generative Framework for Analysis, Creativity and Discovery. - Clemens Damke, Eyke Hüllermeier:
Distribution Matching for Graph Quantification Under Structural Covariate Shift. - Shivani Saini, Ramesh Kumar Vats, Arup Kumar Sahoo:
A-PINN: Auxiliary Physics-informed Neural Networks for Structural Vibration Analysis in Continuous Euler-Bernoulli Beam. - Giuseppe Canale, Kashyap Thimmaraju:
The Silicon Psyche: Anthropomorphic Vulnerabilities in Large Language Models. - Aditya Sreevatsa K, Arun Kumar Raveendran, Jesrael K. Mani, Prakash G. Shigli, Rajkumar Rangadore, Narayana Darapaneni, Anwesh Reddy Paduri:
SmartFlow Reinforcement Learning and Agentic AI for Bike-Sharing Optimisation. - Huang Junyao, Situ Ruimin, Ye Renqin:
Cultural Encoding in Large Language Models: The Existence Gap in AI-Mediated Brand Discovery. - Osasumwen Cedric Ogiesoba-Eguakun, Suman Rath:
Quantum Machine Learning Approaches for Coordinated Stealth Attack Detection in Distributed Generation Systems. - M. Rizki Oktavian:
LLMize: A Framework for Large Language Model-Based Numerical Optimization. - Thomas Andrews, Mark Law, Sara Ahmadi-Abhari, Alessandra Russo:
LearnAD: Learning Interpretable Rules for Brain Networks in Alzheimer's Disease Classification. - Zahid Ullah, Jihie Kim:
VL-OrdinalFormer: Vision Language Guided Ordinal Transformers for Interpretable Knee Osteoarthritis Grading. - Anthony Mikinka:
Universal Conditional Logic: A Formal Language for Prompt Engineering. - Mingxiu Wang, Jiawei Wang, Xiao Cheng:
BALI: Branch-Aware Loop Invariant Inference with Large Language Models. - Zhongyang Shen:
Outlier Detection Using Vector Cosine Similarity by Adding a Dimension. - Mandar Parab:
Counterfactual Self-Questioning for Stable Policy Optimization in Language Models. - Hongbo Jin, Kuanwei Lin, Wenhao Zhang, Yichen Jin, Ge Li:
VideoCuRL: Video Curriculum Reinforcement Learning with Orthogonal Difficulty Decomposition. - Happy Gery Pangestu, Andi Prademon Yunus, Siti Khomsah:
Comparative Evaluation of CNN Architectures for Neural Style Transfer in Indonesian Batik Motif Generation: A Comprehensive Study. - Nalin Dhiman:
FANoS: Friction-Adaptive Nosé-Hoover Symplectic Momentum for Stiff Objectives. - Zheshu Song, Lu Wang, Wei Deng, Zhuo Yang, Yong Wu, Bin Xia:
Index-ASR Technical Report. - Rodrigo Kataishi:
Enhancing Retrieval-Augmented Generation with Topic-Enriched Embeddings: A Hybrid Approach Integrating Traditional NLP Techniques. - Ana Carpio, Gema Duro:
Hierarchical topological clustering. - KC Aashish, Md Zakir Hossain Zamil, Md Shafiqul Islam Mridul, Lamia Akter, Farmina Sharmin, Eftekhar Hossain Ayon, Md Maruf Bin Reza, Ali Hassan, Abdur Rahim, Sirapa Malla:
Towards eco friendly cybersecurity: machine learning based anomaly detection with carbon and energy metrics. - Gihyeon Sim:
When to Ponder: Adaptive Compute Allocation for Code Generation via Test-Time Training. - Sai Teja Erukude, Jane Mascarenhas, Lior Shamir:
CornViT: A Multi-Stage Convolutional Vision Transformer Framework for Hierarchical Corn Kernel Analysis. - Ruiming Liang, Yinan Zheng, Kexin Zheng, Tianyi Tan, Jianxiong Li, Liyuan Mao, Zhihao Wang, Guang Chen, Hangjun Ye, Jingjing Liu, Jinqiao Wang, Xianyuan Zhan:
Dichotomous Diffusion Policy Optimization. - Yuchao Hou, Zixuan Zhang, Jie Wang, Wenke Huang, Lianhui Liang, Di Wu, Zhiquan Liu, Youliang Tian, Jianming Zhu, Jisheng Dang, Junhao Dong, Zhongliang Guo:
Noise-Aware and Dynamically Adaptive Federated Defense Framework for SAR Image Target Recognition. - Eliot Park, Abhi Kumar, Pranav Rajpurkar:
Evaluating Contextual Intelligence in Recyclability: A Comprehensive Study of Image-Based Reasoning Systems. - Chorok Lee:
Conformal Prediction Under Distribution Shift: A COVID-19 Natural Experiment. - Sheldon Paul, Izzat Alsmadi:
Security Hardening Using FABRIC: Implementing a Unified Compliance Aggregator for Linux Servers. - Joyjit Roy, Samaresh Kumar Singh:
Device-Native Autonomous Agents for Privacy-Preserving Negotiations. - Amit Prakash Sharma:
The Discovery Gap: How Product Hunt Startups Vanish in LLM Organic Discovery Queries. - Subhankar Mishra:
Clean-GS: Semantic Mask-Guided Pruning for 3D Gaussian Splatting. - Jacquelyn Shelton, Przemyslaw Polewski, Alexander A. Robel, Matthew J. Hoffman, Stephen F. Price:
Latent-Constrained Conditional VAEs for Augmenting Large-Scale Climate Ensembles. - Faisal Ahmed:
Four-Stage Alzheimer's Disease Classification from MRI Using Topological Feature Extraction, Feature Selection, and Ensemble Learning. - Zichuan Fu, Wentao Song, Guojing Li, Yejing Wang, Xian Wu, Yimin Deng, Hanyu Yan, Yefeng Zheng, Xiangyu Zhao:
Attention Needs to Focus: A Unified Perspective on Attention Allocation. - Xingsheng Chen, Regina Zhang, Bo Gao, Xingwei He, Xiaofeng Liu, Pietro Lio, Kwok-Yan Lam, Siu-Ming Yiu:
MODE: Efficient Time Series Prediction with Mamba Enhanced by Low-Rank Neural ODEs. - Azadeh Alavi, Hamidreza Khalili, Stanley H. Chan, Fatemeh Kouchmeshki, Ross Vlahos:
Practical Geometric and Quantum Kernel Methods for Predicting Skeletal Muscle Outcomes in chronic obstructive pulmonary disease. - Josef Ott:
Context Collapse: In-Context Learning and Model Collapse. - Rares Folea, Radu Iacob, Emil Slusanschi, Traian Rebedea:
Complexity-based code embeddings. - I-Hsien Ting, Yi-Jun Tseng, Yu-Sheng Lin:
Application of deep learning techniques in non-contrast computed tomography pulmonary angiogram for pulmonary embolism diagnosis. - Satya Swaroop Gudipudi, Sahil Girhepuje, Ponnurangam Kumaraguru, Kristine Ma:
MACA: A Framework for Distilling Trustworthy LLMs into Efficient Retrievers. - Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu:
Measuring Social Media Polarization Using Large Language Models and Heuristic Rules. - Luis Yoichi Morales, Francesco Zanlungo, David M. Woollard:
Analyzing the Shopping Journey: Computing Shelf Browsing Visits in a Physical Retail Store. - Nicolas Bougie, Gian Maria Marconi, Tony Yip, Narimasa Watanabe:
AlignUSER: Human-Aligned LLM Agents via World Models for Recommender System Evaluation. - Andrea Thomas Nava, Lijo Johny, Fabio Azzalini, Johannes Schneider, Arianna Casanova:
Enhanced Data-Driven Product Development via Gradient Based Optimization and Conformalized Monte Carlo Dropout Uncertainty Estimation. - Jinyu Xu, Abhishek K. Umrawal:
LOFA: Online Influence Maximization under Full-Bandit Feedback using Lazy Forward Selection. - M. P. V. S. Gopinadh, S. Mahaboob Hussain:
Emoji-Based Jailbreaking of Large Language Models. - Faruk Alpay, Bugra Kilictas:
Rate-Distortion Analysis of Compressed Query Delegation with Low-Rank Riemannian Updates. - Feng Luo, Hongbo Pan, Xiang Yang, Baoyu Jiang, Fengqing Liu, Tao Huang:
ShadowGS: Shadow-Aware 3D Gaussian Splatting for Satellite Imagery. - Jonas Li, Michelle Li, Luke Liu, Heng Fan:
Learning to Segment Liquids in Real-world Images. - Kabir Grover:
Reliability Under Randomness: An Empirical Analysis of Sparse and Dense Language Models Across Decoding Temperatures. - K. M. Megha Mariam, Aditya Arun, Zakaria Laskar, C. V. Jawahar:
PhyEduVideo: A Benchmark for Evaluating Text-to-Video Models for Physics Education. - Bishwajit Saha, Dmitry Krotov, Mohammed J. Zaki, Parikshit Ram:
Deep Clustering with Associative Memories. - Md. Maksudul Haque, Rahnuma Akter, A. S. M. Ahsanul Sarkar Akib, Abdul Hasib:
A Deep Learning Approach for Automated Skin Lesion Diagnosis with Explainable AI. - Tianshuo Yang, Ryan Rabinowitz, Terrance E. Boult, Jugal Kalita:
Adapting Feature Attenuation to NLP. - Pierre Bourhis, Cristian Rodrìguez Rivero, Amaranta Salas:
A formal query language and automata model for aggregation in complex event recognition. - Longwei Wang, Mohammad Navid Nayyem, Abdullah Al Rakin, KC Santosh, Chaowei Zhang, Yang Zhou:
Explainability-Guided Defense: Attribution-Aware Model Refinement Against Adversarial Data Attacks. - Ali Salamatian, Ke Ren, Kieran Pattison, Cyrus Neary:
Value Vision-Language-Action Planning & Search. - Boris N. Oreshkin, Mayank Jauhari, Ravi Kiran Selvam, Malcolm Wolff, Wenhao Pan, Shankar Ramasubramanian, Kin G. Olivares, Tatiana Konstantinova, Andres Potapczynski, Mengfei Cao, Dmitry Efimov, Michael W. Mahoney, Andrew Gordon Wilson:
Zero-shot Forecasting by Simulation Alone. - Louay Bazzi:
Improved decoding algorithms for surface codes under independent bit-flip and phase-flip errors. - Inna Voloshchuk, Hayden Jananthan, Chansup Byun, Jeremy Kepner:
Improving the Graph Challenge Reference Implementation. - Yanyi Chen, Min Deng:
From Perception to Symbolic Task Planning: Vision-Language Guided Human-Robot Collaborative Structured Assembly. - Valentin Blomer, Kai-Uwe Bux:
The cost of cyclic permutations and remainder sums in the Euclidean algorithm. - Wenhui Chu, Khang Quang Tran, Nikolaos V. Tsekos:
Simulations of MRI Guided and Powered Ferric Applicators for Tetherless Delivery of Therapeutic Interventions. - Chunmei Wang, Shangyou Zhang:
A Simple Weak Galerkin Finite Element Method for Convection-Diffusion-Reaction Equations on Nonconvex Polytopal Meshes. - Lin Xi, Yingliang Ma, Xiahai Zhuang:
Few-Shot Video Object Segmentation in X-Ray Angiography Using Local Matching and Spatio-Temporal Consistency Loss. - Joshua Kawaguchi, Saad Manzur, Emily Gao Wang, Maitreyi Sinha, Bryan Vela, Yunxi Wang, Brandon Vela, Wayne B. Hayes:
UnrealPose: Leveraging Game Engine Kinematics for Large-Scale Synthetic Human Pose Data. - Julian D. Santamaria, Claudia Isaza, Jhony H. Giraldo:
WildIng: A Wildlife Image Invariant Representation Model for Geographical Domain Shift. - Michael Bao:
ElecTwit: A Framework for Studying Persuasion in Multi-Agent Social Systems. - Nikos Karayannidis:
Grain-Aware Data Transformations: Type-Level Formal Verification at Zero Computational Cost. - Yongxu Sun, Michael Saxon, Ian Yang, Anna-Maria Gueorguieva, Aylin Caliskan:
VEAT Quantifies Implicit Associations in Text-to-Video Generator Sora and Reveals Challenges in Bias Mitigation. - Yue Zhou, Jue Chen, Zilun Zhang, Penghui Huang, Ran Ding, Zhentao Zou, PengFei Gao, Yuchen Wei, Ke Li, Xue Yang, Xue Jiang, Hongxin Yang, Jonathan Li:
DVGBench: Implicit-to-Explicit Visual Grounding Benchmark in UAV Imagery with Large Vision-Language Models. - Prem Babu Kanaparthi, Tulasi Venkata Sri Varshini Padamata:
Lightweight Channel Attention for Efficient CNNs. - Amin Abyaneh, Charlotte Morissette, Mohamad H. Danesh, Anas El Houssaini, David Meger, Gregory Dudek, Hsiu-Chin Lin:
Contractive Diffusion Policies: Robust Action Diffusion via Contractive Score-Based Sampling with Differential Equations. - Yusaku Yamamoto:
On solving nonlinear simultaneous equations arising from the double-exponential Sinc-collocation method for initial value problems. - Mojtaba Aliasghar-Mamaghani, Mohammadreza Khalafi:
Data-Driven Assessment of Concrete Mixture Compositions on Chloride Transport via Standalone Machine Learning Algorithms. - Patricio Vera:
Intention Collapse: Intention-Level Metrics for Reasoning in Language Models. - Max Dupré la Tour:
Bad News for Couples: Tight Lower Bounds for Fair Division of Indivisible Items. - Philip N. Brown, Connor McCormick:
Carroll Mechanisms: Opportunities, Challenges, and Agenda. - Haoran Su, Chenyu You:
Geometric and Dynamic Scaling in Deep Transformers. - Shiyuan Liu, Jianwei Wang, Xuemin Lin, Lu Qin, Wenjie Zhang, Ying Zhang:
HyperJoin: LLM-augmented Hypergraph Link Prediction for Joinable Table Discovery. - Ata Akbari Asanjan, Milad Memarzadeh, Bryan L. Matthews, Nikunj C. Oza:
Improving Variational Autoencoder using Random Fourier Transformation: An Aviation Safety Anomaly Detection Case-Study. - Dai Shi, Lequan Lin, Andi Han, Luke Thompson, José Miguel Hernández-Lobato, Zhiyong Wang, Junbin Gao:
Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations. - Shiao Wang, Xiao Wang, Haonan Zhao, Jiarui Xu, Bo Jiang, Lin Zhu, Xin Zhao, Yonghong Tian, Jin Tang:
Decoupling Amplitude and Phase Attention in Frequency Domain for RGB-Event based Visual Object Tracking. - João Morais, Sadjad Alikhani, Akshay Malhotra, Shahab Hamidi-Rad, Ahmed Alkhateeb:
Wireless Dataset Similarity: Measuring Distances in Supervised and Unsupervised Machine Learning. - Tien-Huy Nguyen, Huu-Loc Tran, Thanh Duc Ngo:
ITSELF: Attention Guided Fine-Grained Alignment for Vision-Language Retrieval. - Douglas Costa Braga, Daniel Oliveira Dantas:
Enhanced Leukemic Cell Classification Using Attention-Based CNN and Data Augmentation. - Rafael Wampfler, Chen Yang, Dillon Elste, Nikola Kovacevic, Philine Witzig, Markus Gross:
A Platform for Interactive AI Character Experiences. - Bharadwaj Veeravalli:
A Multi-Port Concurrent Communication Model for handling Compute Intensive Tasks on Distributed Satellite System Constellations. - Kiet Dang Vu, Trung Thai Tran, Kien Nguyen Do Trung, Duc Dung Nguyen:
Mono3DV: Monocular 3D Object Detection with 3D-Aware Bipartite Matching and Variational Query DeNoising. - Livia Leong Hui Teng:
Multi-Dimensional Prompt Chaining to Improve Open-Domain Dialogue Generation. - Xiang Zhang, Wenliang Weng, Daoyong Fu, Ziqiang Li, Zhangjie Fu:
Deepfake Detection with Multi-Artifact Subspace Fine-Tuning and Selective Layer Masking. - Zixiao Zhao, Yanjie Jiang, Hui Liu, Kui Liu, Lu Zhang:
SeRe: A Security-Related Code Review Dataset Aligned with Real-World Review Activities. - Jin Wang, Angelo De Castro, Yuxi Zhang, Lucas Basolli Borsatto, Yuechen Guo, Victoria Bastos Primo, Ana Beatriz Montevecchio Bernardino, Gota Morota, Ricardo C. Chebel, Haipeng Yu:
Evaluating transfer learning strategies for improving dairy cattle body weight prediction in small farms using depth-image and point-cloud data. - Tatsuaki Tsuruyama:
Coarse-Grained Kullback-Leibler Control of Diffusion-Based Generative AI. - Yixuan Tang, Yi Yang:
KV-Embedding: Training-free Text Embedding via Internal KV Re-routing in Decoder-only LLMs. - Saurabh Singh, Ruobing Han, Jaewon Lee, Seonjin Na, Yonghae Kim, Taesoo Kim, Hyesoon Kim:
CuFuzz: Hardening CUDA Programs through Transformation and Fuzzing. - Hongming Fu, Wenjia Wang, Xiaozhen Qiao, Shuo Yang, Zheng Liu, Bo Zhao:
EgoGrasp: World-Space Hand-Object Interaction Estimation from Egocentric Videos. - Milad Rahmati, Nima Rahmati:
Byzantine-Robust Federated Learning Framework with Post-Quantum Secure Aggregation for Real-Time Threat Intelligence Sharing in Critical IoT Infrastructure. - Rajiv Thummala, Katherine Winton, Luke Flores, Elizabeth Redmond, Gregory Falco:
Out-of-Band Power Side-Channel Detection for Semiconductor Supply Chain Integrity at Scale. - Ifeanyi Ezuma, Ugochukwu O. Ugwu:
Enhancing Histopathological Image Classification via Integrated HOG and Deep Features with Robust Noise Performance. - Shuhuan Gu, Wenbiao Tao, Xinchen Ma, Kangkang He, Ye Guo, Xiang Li, Yunshi Lan:
Unsupervised Text Style Transfer for Controllable Intensity. - Yajing Liu, Erkao Bao, Linqi Song:
A UCB Bandit Algorithm for General ML-Based Estimators. - Yunlin Zeng:
SPoRC-VIST: A Benchmark for Evaluating Generative Natural Narrative in Vision-Language Models. - Jianan Li, Wangcai Zhao, Tingfa Xu:
Efficient Hyperspectral Image Reconstruction Using Lightweight Separate Spectral Transformers. - Achraf Hsain, Yahya Zaki, Othman Abaakil, Hibat-allah Bekkar, Yousra Chtouki:
Tiny Machine Learning for Real-Time Aquaculture Monitoring: A Case Study in Morocco. - Wenzheng Zhang, Yoshitaka Hara, Sousuke Nakamura:
Topological Mapping and Navigation using a Monocular Camera based on AnyLoc. - Abdullah Al Mamun, Akid Abrar, Mizanur Rahman, M. Sabbir Salek, Mashrur Chowdhury:
Post-Quantum Cryptography for Intelligent Transportation Systems: An Implementation-Focused Review. - Jing Wang, Peng Zhao, Zhi-Hua Zhou:
Revisiting Weighted Strategy for Non-stationary Parametric Bandits and MDPs. - Zhijun Zeng, Jianlong Chen:
Flow Matching Transport for Quasi-Monte Carlo Integration. - Erica Coppolillo, Emilio Ferrara:
Gendered Pathways in AI Companionship: Cross-Community Behavior and Toxicity Patterns on Reddit. - Hansen Jin Lillemark, Benhao Huang, Fangneng Zhan, Yilun Du, Thomas Anderson Keller:
Flow Equivariant World Models: Memory for Partially Observed Dynamic Environments. - Devesh Nath, Haoran Yin, Glen Chou:
Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees. - Leilei Yu, Yunghsiang S. Han, Pingping Li, Jiasheng Yuan:
A Novel Approach of Solving Polynomial Equations Over Binary Extension Fields. - Yuyang Liu, Hua Su, Zixiang Xiao, Lei Zhang, Jin Zhao:
SaddleScape V1.0: A Python Package for Constructing Solution Landscapes via High-index Saddle Dynamics. - Bryon Tjanaka, Henry Chen, Matthew C. Fontaine, Stefanos Nikolaidis:
Discount Model Search for Quality Diversity Optimization in High-Dimensional Measure Spaces. - Adari Rama Sukanya, Puvvula Roopesh Naga Sri Sai, Kota Moses, Rimalapudi Sarvendranath:
A UAV-Based Multispectral and RGB Dataset for Multi-Stage Paddy Crop Monitoring in Indian Agricultural Fields. - Jiayi Xu, Zhang Zhang, Yuanrui Zhang, Ruitao Chen, Yixian Xu, Tianyu He, Di He:
Luminark: Training-free, Probabilistically-Certified Watermarking for General Vision Generative Models. - Jianpeng Qi, Chao Liu, Chengrui Wang, Rui Wang, Junyu Dong, Yanwei Yu:
Decision-Aware Semantic State Synchronization in Compute-First Networking. - Haq Nawaz Malik:
600k-ks-ocr: a large-scale synthetic dataset for optical character recognition in kashmiri script. - Nobuyuki Ota:
Central Dogma Transformer: Towards Mechanism-Oriented AI for Cellular Understanding. - Erica Coppolillo, Luca Luceri, Emilio Ferrara:
Harm in AI-Driven Societies: An Audit of Toxicity Adoption on Chirper.ai. - Haq Nawaz Malik:
ks-lit-3m: A 3.1 million word kashmiri text dataset for large language model pretraining. - Yubo Shu, Peng Zhang, Meng Wu, Yan Chen, Haoxuan Zhou, Guanming Liu, Yu Zhang, Liuxin Zhang, Qianying Wang, Tun Lu, Ning Gu:
SoulSeek: Exploring the Use of Social Cues in LLM-based Information Seeking. - Hyeonjeong Ha, Jinjin Ge, Bo Feng, Kaixin Ma, Gargi Chakraborty:
NarrativeTrack: Evaluating Video Language Models Beyond the Frame. - Mahmudul Hasan, Mabsur Fatin Bin Hossain:
Evolving CNN Architectures: From Custom Designs to Deep Residual Models for Diverse Image Classification and Detection Tasks. - Apurva Kulkarni, Chandrashekar Ramanathan:
An Agentic Software Framework for Data Governance under DPDP. - Abhinav Attri, Rajeev Ranjan Dwivedi, Samiran Das, Vinod Kumar Kurmi:
Histogram Assisted Quality Aware Generative Model for Resolution Invariant NIR Image Colorization. - Salim Oyinlola, Joshua Ajayi, Gozie Ibekwe:
Time Series Based CO2 Emission Forecasting and Energy Mix Analysis for Net Zero Transitions: A Multi Country Study. - Michele Grimaldi, Yosaku Maeda, Hitoshi Kakami, Ignacio Carlucho, Yvan R. Petillot, Tomoya Inoue:
Towards reliable subsea object recovery: a simulation study of an auv with a suction-actuated end effector. - David D. Nguyen, The-Anh Ta, Yansong Gao, Alsharif Abuadbba:
NADD: Amplifying Noise for Effective Diffusion-based Adversarial Purification. - Zilin Li, Weiwei Xu, Xuanbo Lu, Zheda Liu:
EmoLoom-2B: Fast Base-Model Screening for Emotion Classification and VAD with Lexicon-Weak Supervision and KV-Off Evaluation. - Qingqing Long, Haotian Chen, Chenyang Zhao, Xiaolei Du, Xuezhi Wang, Pengyao Wang, Chengzan Li, Yuanchun Zhou, Hengshu Zhu:
ScienceDB AI: An LLM-Driven Agentic Recommender System for Large-Scale Scientific Data Sharing Services. - Muhammad Ashad Kabir, Sirajam Munira, Dewan Tasnia Azad, Saleh Mohammed Ikram, Mohammad Habibur Rahman Sarker, Syed Manzoor Ahmed Hanifi:
Community-Based Early-Stage Chronic Kidney Disease Screening using Explainable Machine Learning for Low-Resource Settings. - Yacouba Diarra, Michael Leventhal:
Listen, Attend, Understand: a Regularization Technique for Stable E2E Speech Translation Training on High Variance labels. - Yaniv Galron, Hadar Sinai, Haggai Maron, Moshe Eliasof:
Learning from Historical Activations in Graph Neural Networks. - Mohammad Goudarzi, Arash Shaghaghi, Zhiyu Wang, Rajkumar Buyya:
Performance and Security Aware Distributed Service Placement in Fog Computing. - Andrew Borthwick, Stephen Ash:
RoboPhD: Self-Improving Text-to-SQL Through Autonomous Agent Evolution. - Golbahar Amanpour, Benyamin Ghojogh:
Wittgenstein's Family Resemblance Clustering Algorithm. - Chakkrit Kla Tantithamthavorn, Yaotian Zou, Andy Wong, Michael Gupta, Zhe Wang, Mike Buller, Ryan Jiang, Matthew Watson, Minwoo Jeong, Kun Chen, Ming Wu:
RovoDev Code Reviewer: A Large-Scale Online Evaluation of LLM-based Code Review Automation at Atlassian. - Ridma Ganganath, Simone Servadio, David Daeyoung Lee:
Compensating Star-Trackers Misalignments with Adaptive Multi-Model Estimation. - Hao-Tsung Yang, Ssu-Yuan Lo, Kuan-Lun Chen, Ching-Kai Wang:
Generating Diverse TSP Tours via a Combination of Graph Pointer Network and Dispersion. - Maryam Mahdi Al-Husseini, Alireza Rouhi, Mohammad-Reza Feizi-Derakhshi:
AI-Powered Hybrid Intrusion Detection Framework for Cloud Security Using Novel Metaheuristic Optimization. - Mohammad Rowshan:
Single-Shot and Few-Shot Decoding via Stabilizer Redundancy in Bivariate Bicycle Codes. - Sriram Rajasekar, Ashwini Ratnoo:
Latent Space Reinforcement Learning for Multi-Robot Exploration. - Peng Chen:
KOS-TL (Knowledge Operation System Type Logic). - Shu Pan, Simon Archieri, Ahmet Fatih Cinar, Jonatan Scharff Willners, Ignacio Carlucho, Yvan R. Petillot:
VISO: Robust Underwater Visual-Inertial-Sonar SLAM with Photometric Rendering for Dense 3D Reconstruction. - Anusree M, Akhila Henry, Pramod P. Nair:
Self-Training the Neurochaos Learning Algorithm. - Wenbin Pei, Ruohao Dai, Bing Xue, Mengjie Zhang, Qiang Zhang, Yiu-Ming Cheung:
Evo-TFS: Evolutionary Time-Frequency Domain-Based Synthetic Minority Oversampling Approach to Imbalanced Time Series Classification. - Jiani Guo, Jiajia Li, Jie Wu, Zuchao Li, Yujiu Yang, Ping Wang:
SongSage: A Large Musical Language Model with Lyric Generative Pre-training. - Shizhe Zhang, Jingsong Liang, Zhitao Zhou, Shuhan Ye, Yizhuo Wang, Derek Ming Siang Tan, Jimmy Chiun, Yuhong Cao, Guillaume Sartoretti:
ORION: Option-Regularized Deep Reinforcement Learning for Cooperative Multi-Agent Online Navigation. - Jiani Guo, Xiangke Zeng, Jie Wu, Zuchao Li:
DHI: Leveraging Diverse Hallucination Induction for Enhanced Contrastive Factuality Control in Large Language Models. - Davide Carecci, Laurent Dewasme, Alessio La Bella, Gianni Ferretti, Alain Vande Wouwer:
Tube-based robust nonlinear model predictive control of anaerobic co-digestion. - Yilun Zhao, Yu Chen, Kaiyan Chang, He Li, Bing Li, Yinhe Han, Ying Wang:
A System Architecture for Low Latency Multiprogramming Quantum Computing. - Zihua Yang, Xin Liao, Yiqun Zhang, Yiu-ming Cheung:
Bridging the Semantic Gap for Categorical Data Clustering via Large Language Models. - Tianheng Cheng, Xinggang Wang, Junchao Liao, Wenyu Liu:
Cross-Layer Attentive Feature Upsampling for Low-latency Semantic Segmentation. - Pengfeng Lin, Guangjie Gao, Jianjun Ma, Miao Zhu, Xinan Zhang, Ahmed Abu-Siada:
Transient Power Allocation Control Scheme for Hybrid Hydrogen Electrolyzer-Supercapacitor System with Autonomous Inertia Response. - Serge Sharoff, John Baker, David Francis Hunt, Alan Simpson:
Almost Clinical: Linguistic properties of synthetic electronic health records. - Andrés Bell-Navas, Jesús Garicano-Mena, Antonella Ausiello, Soledad Le Clainche, María Villalba-Orero, Enrique Lara Pezzi:
CardioMOD-Net: A Modal Decomposition-Neural Network Framework for Diagnosis and Prognosis of HFpEF from Echocardiography Cine Loops. - Sokipriala Jonah, Seong Ki Yoo, Saurav Sthapit:
Adaptive Scheduling: A Reinforcement Learning Whittle Index Approach for Wireless Sensor Networks. - Chenglizhao Chen, Shaojiang Yuan, Xiaoxue Lu, Mengke Song, Jia Song, Zhenyu Wu, Wenfeng Song, Shuai Li:
GenCAMO: Scene-Graph Contextual Decoupling for Environment-aware and Mask-free Camouflage Image-Dense Annotation Generation. - Saravanan A, Aswani Kumar Cherukuri:
Comparative Evaluation of VAE, GAN, and SMOTE for Tor Detection in Encrypted Network Traffic. - Suryansh Singh Sijwali, Suman Saha:
SecureCodeRL: Security-Aware Reinforcement Learning for Code Generation with Partial-Credit Rewards. - Alexandre Baigol, Nikhil Garg, Matteo Mazza, Yanming Zhang, Elisa Zaccaria, Wooseok Choi, Bert Jan Offrein, Laura Bégon-Lours:
Analog Weight Update Rule in Ferroelectric Hafnia, using pico-Joule Programming Pulses. - Zhiwei Huang, Yanwei Fu, Yi Zhou, Xieyuanli Chen, Qijun Chen, Rui Fan:
DST-Calib: A Dual-Path, Self-Supervised, Target-Free LiDAR-Camera Extrinsic Calibration Network. - Hao Lu, Xuhui Zhu, Wenjing Zhang, Yanan Li, Xiang Bai:
Crowded Video Individual Counting Informed by Social Grouping and Spatial-Temporal Displacement Priors. - Özgür Erçetin, Mohaned Chraiti:
On the Structure of the Optimal Detector for Sub-THz Multi-Hop Relays with Unknown Prior: Over-the-Air Diffusion. - Wuzhenghong Wen, Chao Xue, Su Pan, Yuwei Sun, Minlong Peng:
Reinforcement Learning Enhanced Multi-hop Reasoning for Temporal Knowledge Question Answering. - Shenqi Lu, Liangwei Zhang:
EduSim-LLM: An Educational Platform Integrating Large Language Models and Robotic Simulation for Beginners. - Logan Murphy, Aren A. Babikian, Marsha Chechik:
Abductive Vibe Coding (Extended Abstract). - Zhang Chen, Shuai Wan, Yuezhe Zhang, Siyu Ren, Fuzheng Yang, Junhui Hou:
MS-ISSM: Objective Quality Assessment of Point Clouds Using Multi-scale Implicit Structural Similarity. - Jiazhu Dai, Huihui Jiang:
RefSR-Adv: Adversarial Attack on Reference-based Image Super-Resolution Models. - Zunhai Su, Weihao Ye, Hansen Feng, Keyu Fan, Jing Zhang, Dahai Yu, Zhengwu Liu, Ngai Wong:
XStreamVGGT: Extremely Memory-Efficient Streaming Vision Geometry Grounded Transformer with KV Cache Compression. - Soroush Elyasi, Arya Varastehnezhad, Fattaneh Taghiyareh:
MentalGame: Predicting Personality-Job Fitness for Software Developers Using Multi-Genre Games and Machine Learning Approaches. - Yoonhyuk Choi, Jiho Choi, Chanran Kim, Yumin Lee, Hawon Shin, Yeowon Jeon, Minjeong Kim, Jiwoo Kang:
Sparse Bayesian Message Passing under Structural Uncertainty. - Xin Tan, Yicheng Feng, Yu Zhou, Yimin Jiang, Yibo Zhu, Hong Xu:
OrchestrRL: Dynamic Compute and Network Orchestration for Disaggregated RL. - Kazuhiko Murasaki, Shunsuke Konagai, Masakatsu Aoki, Taiga Yoshida, Ryuichi Tanida:
Real-Time LiDAR Point Cloud Densification for Low-Latency Spatial Data Transmission. - Riccardo Gelato, Carlo Sgaravatti, Jakob Grahn, Giacomo Boracchi, Filippo Maria Bianchi:
Promptable Foundation Models for SAR Remote Sensing: Adapting the Segment Anything Model for Snow Avalanche Segmentation. - Di Lu, Mengna Sun, Qingwen Zhang, Yujia Liu, Jia Zhang, Xuewen Dong, Yulong Shen, Jianfeng Ma:
Arca: A Lightweight Confidential Container Architecture for Cloud-Native Environments. - Prateek Rajput, Yewei Song, Abdoul Aziz Bonkoungou, Iyiola E. Olatunji, Abdoul Kader Kaboré, Jacques Klein, Tegawendé F. Bissyandé:
Correctness isnt Efficiency: Runtime Memory Divergence in LLM-Generated Code. - Ka Yan Fung, Tze-Leung Rick Lui, Yuxing Tao, Kuen Fung Sin:
MotiBo: The Impact of Interactive Digital Storytelling Robots on Student Motivation through Self-Determination Theory. - Hossein Amiri, Joon-Seok Kim, Hamdi Kavak, Andrew T. Crooks, Dieter Pfoser, Carola Wenk, Andreas Züfle:
HD-GEN: A High-Performance Software System for Human Mobility Data Generation Based on Patterns of Life. - Mengfei Li, Peng Li, Zheng Zhang, Jiahao Lu, Chengfeng Zhao, Wei Xue, Qifeng Liu, Sida Peng, Wenxiao Zhang, Wenhan Luo, Yuan Liu, Yike Guo:
UniSH: Unifying Scene and Human Reconstruction in a Feed-Forward Pass. - Marzieh Amiri Shahbazi, Ali Baheri, Nasibeh Azadeh-Fard:
Adaptive Conformal Prediction via Bayesian Uncertainty Weighting for Hierarchical Healthcare Data. - Bac Nguyen, Yuhta Takida, Naoki Murata, Chieh-Hsin Lai, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji:
Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment. - Hezam Albaqami, Muhammad Asif Ayub, Nasir Ahmad, Yaseen Ahmad, Mohammed M. Alqahtani, Abdullah M. Algamdi, Almoaid A. Owaidah, Kashif Ahmad:
Stylometry Analysis of Human and Machine Text for Academic Integrity. - Ka Yan Fung, Kwong Chiu Fung, Yuxing Tao, Tze-Leung Rick Lui, Kuen Fung Sin:
LiveBo: Empowering Non-Chinese Speaking Students through AI-Driven Real-Life Scenarios in Cantonese. - Markus Haltmeier, Lukas Neumann, Nadja Gruber, Johannes Schwab, Gyeongha Hwang:
HyDRA: Hybrid Denoising Regularization for Measurement-Only DEQ Training. - Md Muhtasim Munif Fahim, Humyra Ankona, Md Monimul Huq, Md. Rezaul Karim:
The Dependency Divide: An Interpretable Machine Learning Framework for Profiling Student Digital Satisfaction in the Bangladesh Context. - Kangchen Zhu, Zhiliang Tian, Shangwen Wang, Mingyue Leng, Xiaoguang Mao:
Atomizer: An LLM-based Collaborative Multi-Agent Framework for Intent-Driven Commit Untangling. - Ka Yan Fung, Yuxing Tao, Tze-Leung Rick Lui, Kuen Fung Sin:
Bridging Language Gaps: Utilizing Interactive Robots to Teach Cantonese in Real-Life Contexts for Newly-Arrived Children. - Stefan Kiefer, Andrew Ryzhikov:
The asymptotic size of finite irreducible semigroups of rational matrices. - Abidemi Koledoye, Chinemerem Unachukwu, Gold Nwobu, Hasin Rana:
Benchmarking the Computational and Representational Efficiency of State Space Models against Transformers on Long-Context Dyadic Sessions. - Jiajie Zhu, Xia Du, Xiaoyuan Liu, Jizhe Zhou, Qizhen Xu, Zheng Lin, Chi-Man Pun:
IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection. - Ziqian Guan, Xieyi Fu, Yuting Wang, Haowen Xiao, Jiarui Zhu, Yingying Zhu, Yongtao Liu, Lin Gu:
RFAssigner: A Generic Label Assignment Strategy for Dense Object Detection. - Zhuoran Tan, Run Hao, Jeremy Singer, Yutian Tang, Christos Anagnostopoulos:
MCP-SandboxScan: WASM-based Secure Execution and Runtime Analysis for MCP Tools. - Zsolt Csibi, Bence György Gortka, Natabara Máté Gyöngyössy, Kornél Nagy, Dávid Márk Nemeskey, Martin Sallai, András Simonyi, András Márk Szekeres, Gábor Palkó:
Racka: Efficient Hungarian LLM Adaptation on Academic Infrastructure. - Wei Xu:
Human-Centered Artificial Intelligence (HCAI): Foundations and Approaches. - Azrin Sultana, Hasibur Rashid Chayon:
Entity-Aware and Secure Query Optimization in Database Using Named Entity Recognition. - Jinzhou Xu, Yuanxin Zhuo, Paola Tapia:
Multi-Objective Operational Optimization of Energy Storage Systems in User-Side Microgrids. - Hamad Khan, Saddam Hussain Khan:
MambaFormer: Token-Level Guided Routing Mixture-of-Experts for Accurate and Efficient Clinical Assistance. - Nick Lindsay, Caroline Trippel, Anurag Khandelwal, Abhishek Bhattacharjee:
CounterPoint: Using Hardware Event Counters to Refute and Refine Microarchitectural Assumptions (Extended Version). - Rhitabrat Pokharel, Hamid Reza Hassanzadeh, Ameeta Agrawal:
From Policy to Logic for Efficient and Interpretable Coverage Assessment. - Maayan Gelboim, Amir Adler, Mauricio Araya-Polo:
Accelerated Full Waveform Inversion by Deep Compressed Learning. - Qingxiao Tao, Xiaodong Gu, Hao Zhong, Beijun Shen:
CatchAll: Repository-Aware Exception Handling with Knowledge-Guided LLMs. - Md. Sadman Haque, Zobaer Ibn Razzaque, Robiul Awoul Robin, Fahim Hafiz, Riasat Azim:
An Energy-Efficient Smart Bus Transport Management System with Blind-Spot Collision Detection Ability. - Sen Hu, Yuxiang Wei, Jiaxin Ran, Zhiyuan Yao, Xueran Han, Huacan Wang, Ronghao Chen, Lei Zou:
Does Memory Need Graphs? A Unified Framework and Empirical Analysis for Long-Term Dialog Memory. - Sifatullah Sheikh Urmi, Nuzath Tabassum Arthi, Md. Al Imran:
AI-Powered Deepfake Detection Using CNN and Vision Transformer Architectures. - Fang Nan, Meher V. R. Malladi, Qingqing Li, Fan Yang, Joonas Juola, Tiziano Guadagnino, Jens Behley, César Cadena, Cyrill Stachniss, Marco Hutter:
SAHA: Supervised Autonomous HArvester for selective forest thinning. - Md. Sanaullah Chowdhury Lameya Sabrin:
S2M-Net: Spectral-Spatial Mixing for Medical Image Segmentation with Morphology-Aware Adaptive Loss. - Wenbo Wu, George Konstantinidis:
Compliance as a Trust Metric. - Evgenii Rudakov, Jonathan Shock, Benjamin Ultan Cowley:
PyBatchRender: A Python Library for Batched 3D Rendering at Up to One Million FPS. - Shriram KS Pandian, Naresh Kshetri:
dataRLsec: Safety, Security, and Reliability With Robust Offline Reinforcement Learning for DPAs. - Harshita Narnoli, Mihai Surdeanu:
The Alchemy of Thought: Understanding In-Context Learning Through Supervised Classification. - Yicheng Jin, Yongji Wu, Wenjun Hu, Bruce M. Maggs, Jun Yang, Xiao Zhang, Danyang Zhuo:
Curator: Efficient Vector Search with Low-Selectivity Filters. - Ching Ho Lee, Javier Nistal, Stefan Lattner, Marco Pasini, George Fazekas:
Diffusion Timbre Transfer Via Mutual Information Guided Inpainting. - Changhoon Song, Seungchan Ko, Youngjoon Hong:
Sobolev Approximation of Deep ReLU Networks in Log-Barron Space. - Davis Brown, Juan Pablo Rivera, Dan Hendrycks, Mantas Mazeika:
Aggressive Compression Enables LLM Weight Theft. - (Withdrawn) ARGUS: Adaptive Rotation-Invariant Geometric Unsupervised System.
- Jorge Leonardo Ruiz Williams:
Warp-Cortex: An Asynchronous, Memory-Efficient Architecture for Million-Agent Cognitive Scaling on Consumer Hardware. - Ismail Lamaakal, Chaymae Yahyati, Yassine Maleh, Khalid El Makkaoui, Ibrahim Ouahbi:
T3C: Test-Time Tensor Compression with Consistency Guarantees. - Keith Frankston, Benjamin Howard:
Accelerating Monte-Carlo Tree Search with Optimized Posterior Policies. - Pouria Sarhadi:
Simple yet Effective Anti-windup Techniques for Amplitude and Rate Saturation: An Autonomous Underwater Vehicle Case Study. - Michael Smith, Riley Grossman, Antonio Torres-Agüero, Pritam Sen, Cristian Borcea, Yi Chen:
Inconsistencies in Classification of Online News Articles: A Call for Common Standards in Brand Safety Services. - John Zhao:
Towards a Principled Muon under μP: Ensuring Spectral Conditions throughout Training. - Abdurrahman Tolay:
Automated SBOM-Driven Vulnerability Triage for IoT Firmware: A Lightweight Pipeline for Risk Prioritization. - Songyu Zhang, Aaron Tam, Myungjin Lee, Shixiong Qi, K. K. Ramakrishnan:
Making MoE-based LLM Inference Resilient with Tarragon. - Kailash A. Hambarde, Hugo Proença, Md. Rashidunnabi, Pranita Samale, Qiwei Yang, Pingping Zhang, Zijing Gong, Yuhao Wang, Xi Zhang, Ruoshui Qu, Qiaoyun He, Yuhang Zhang, Thi Ngoc Ha Nguyen, Tien-Dung Mai, Cheng-Jun Kang, Yu-Fan Lin, Jin-Hui Jiang, Chih-Chung Hsu, Tamás Endrei, György Cserey, Ashwat Rajbhandari:
VReID-XFD: Video-based Person Re-identification at Extreme Far Distance Challenge Results. - Vladimer Khasia:
Spectral-Window Hybrid (SWH). - Chang Shao, Qi Zhao, Nana Pu, Shi Cheng, Jing Jiang, Yuhui Shi:
Benchmarking Continuous Dynamic Multi-Objective Optimization: Survey and Generalized Test Suite. - Muntasir Adnan, Carlos C. N. Kuhn:
Adaptive Hierarchical Evaluation of LLMs and SAST tools for CWE Prediction in Python. - Rong Zhou, Dongping Chen, Zihan Jia, Yao Su, Yixin Liu, Yiwen Lu, Dongwei Shi, Yue Huang, Tianyang Xu, Yi Pan, Xinliang Li, Yohannes Abate, Qingyu Chen, Zhengzhong Tu, Yu Yang, Yu Zhang, Qingsong Wen, Gengchen Mai, Sunyang Fu, Jiachen Li, Xuyu Wang, Ziran Wang, Jing Huang, Tianming Liu, Yong Chen, Lichao Sun, Lifang He:
Digital Twin AI: Opportunities and Challenges from Large Language Models to World Models. - Hongjie Wang, Niraj K. Jha:
LinMU: Multimodal Understanding Made Linear. - Shengji Tang, Weihao Lin, Jingqi Ye, Hao Li, Bo Zhang, Shuyue Hu, Tao Chen, Wangli Ouyang, Lei Bai, Peng Ye:
Beyond Gemini-3-Pro: Revisiting LLM Routing and Aggregation at Scale. - Hongkun Yang, Lionel Z. Wang, Wei Fan, Yiran Hu, Lixu Wang, Chenyu Liu, Shenghong Fu, Haoyang Li, Xin Xu, Jiexin Zheng, Wei Dong:
AppellateGen: A Benchmark for Appellate Legal Judgment Generation. - Hossam Amer, Maryam Dialameh, Hossein Rajabzadeh, Walid Ahmed, Weiwei Zhang, Yang Liu:
FLOP-Efficient Training: Early Stopping Based on Test-Time Compute Awareness. - Zihan Li, Ziming Wang, Chenning Liu, Xin Wang:
Neural-network-based Self-triggered Observed Platoon Control for Autonomous Vehicles. - Weihang You, Hanqi Jiang, Yi Pan, Junhao Chen, Tianming Liu, Fei Dou:
Achieving Fine-grained Cross-modal Understanding through Brain-inspired Hierarchical Representation Learning. - Md. Abdullah-Al-Kafi, Raka Moni, Sumit Kumar Banshal:
Reasoning Over Recall: Evaluating the Efficacy of Generalist Architectures vs. Specialized Fine-Tunes in RAG-Based Mental Health Dialogue Systems. - Yuyan Pi, Min Jin, Wentao Xie, Xinhua Liu:
From Classification to Generation: An Open-Ended Paradigm for Adverse Drug Reaction Prediction Based on Graph-Motif Feature Fusion. - Juan Junqueras, Florian Boudin, May Myo Zin, Ha-Thanh Nguyen, Wachara Fungwacharakorn, Damián Ariel Furman, Akiko Aizawa, Ken Satoh:
FC-CONAN: An Exhaustively Paired Dataset for Robust Evaluation of Retrieval Systems. - Yixuan Lai, He Wang, Kun Zhou, Tianjia Shao:
Slot-ID: Identity-Preserving Video Generation from Reference Videos via Slot-Based Temporal Identity Encoding. - Dang H. Pham, Tu N. Nguyen, Hoa N. Nguyen:
Advanced Machine Learning Approaches for Enhancing Person Re-Identification Performance. - Ke Xiao, Haoze Zhang, Runze Mao, Han Li, Zhi X. Chen:
Towards LLM-enabled autonomous combustion research: A literature-aware agent for self-corrective modeling workflows. - Jiawei Fang, Ruonan Zheng, Xiaoxia Gao, Shifan Jiang, Anjun Chen, Qi Ye, Shihui Guo:
Garment Inertial Denoiser (GID): Endowing Accurate Motion Capture via Loose IMU Denoiser. - Duosi Jin, Jianqiu Xu, Guidong Zhang:
VARTS: A Tool for the Visualization and Analysis of Representative Time Series Data. - Jerry Huang, Peng Lu, Qiuhao Zeng, Yusuke Iwasawa, Yutaka Matsuo, Sarath Chandar, Edison Marrese-Taylor, Irene Li:
Investigating the Multilingual Calibration Effects of Language Model Instruction-Tuning. - Xiaomeng Yang, Zhiyu Tan, Xiaohui Zhong, Mengping Yang, Qiusheng Huang, Lei Chen, Libo Wu, Hao Li:
A unified multimodal understanding and generation model for cross-disciplinary scientific research. - Mostofa Rafid Uddin, Mahek Vora, Qifeng Wu, Muyuan Chen, Min Xu:
Unsupervised SE(3) Disentanglement for in situ Macromolecular Morphology Identification from Cryo-Electron Tomography.