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2020 – today
- 2025
[j33]Wei Wang, Ying Li, Jian Mou, Kevin Zhu:
A comparative analysis of the effect of initiative risk statement versus passive risk disclosure on the financing performance of Kickstarter campaigns. Decis. Support Syst. 188: 114366 (2025)- [j32]Xicheng Yin
, Jing Li, Kevin Zhu, Wei Wang, Hongwei Wang:
Willing and able: Task recommendation with a trade-off of the bilateral benefits for knowledge-intensive crowdsourcing. Decis. Support Syst. 190: 114400 (2025) - [c25]Joshua Lee, Wyatt Fong, Alexander Le, Sur Shah, Kevin Han, Kevin Zhu:
Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection. COLING Workshops 2025: 63-70 - [c24]Sundesh Donthi, Maximilian Spencer, Om Patel, Joon Yong Doh, Eid Rodan, Kevin Zhu, Sean O'Brien:
Improving LLM Abilities in Idiomatic Translation. COLING Workshops 2025: 175-181 - [c23]Sundesh Donthi, Maximilian Spencer, Om Patel, Joon Yong Doh, Eid Rodan, Kevin Zhu, Sean O'Brien:
Improving LLM Abilities in Idiomatic Translation. FICC (3) 2025: 361-375 - [c22]Shaun Lee Baek, Shaun Esua-Mensah, Cyrus Tsui, Sejan Vigneswaralingam, Abdullah Alali, Michael Lu, Vasu Sharma, Kevin Zhu:
Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning. NAACL (Student Research Workshop) 2025: 551-562 - [c21]Kevin Zhu, Shay Snyder, Ricardo Vega, Maryam Parsa, Cameron Nowzari:
A Milling Swarm of Ground Robots using Spiking Neural Networks. NICE 2025: 1-9 - [i88]Vivaan Sandwar, Bhav Jain, Rishan Thangaraj, Ishaan Garg, Michael Lam, Kevin Zhu:
Town Hall Debate Prompting: Enhancing Logical Reasoning in LLMs through Multi-Persona Interaction. CoRR abs/2502.15725 (2025) - [i87]James Begin, Namit Agrawal, Eshan Singh, Yicheng Fu, Sean O'Brien, Vasu Sharma, Kevin Zhu:
Pause-Tuning for Long-Context Comprehension: A Lightweight Approach to LLM Attention Recalibration. CoRR abs/2502.20405 (2025) - [i86]Joshua Liu, Aarav Jain, Soham Takuri, Srihan Vege, Aslihan Akalin, Kevin Zhu, Sean O'Brien, Vasu Sharma:
TRUTH DECAY: Quantifying Multi-Turn Sycophancy in Language Models. CoRR abs/2503.11656 (2025) - [i85]Vincent Li, Yule Fu, Tim Knappe, Kevin Han, Kevin Zhu:
Automating Mathematical Proof Generation Using Large Language Model Agents and Knowledge Graphs. CoRR abs/2503.11657 (2025) - [i84]Athena Wen, Tanush Patil, Ansh Saxena, Yicheng Fu, Sean O'Brien, Kevin Zhu:
FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations. CoRR abs/2504.01420 (2025) - [i83]Abhay Gupta, Jacob Cheung, Philip Meng, Shayan Sayyed, Austen Liao, Kevin Zhu, Sean O'Brien:
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models. CoRR abs/2504.07100 (2025) - [i82]Andrew Rufail, Daniel Kim, Sean O'Brien, Kevin Zhu:
CLEAR: Contrasting Textual Feedback with Experts and Amateurs for Reasoning. CoRR abs/2504.07116 (2025) - [i81]Shaun Lee Baek, Shaun Esua-Mensah, Cyrus Tsui, Sejan Vigneswaralingam, Abdullah Alali, Michael Lu, Vasu Sharma, Sean O'Brien, Kevin Zhu:
Rosetta-PL: Propositional Logic as a Benchmark for Large Language Model Reasoning. CoRR abs/2505.00001 (2025) - [i80]Muna Numan Said, Aarib Zaidi, Rabia Usman, Sonia Okon, Praneeth Medepalli, Kevin Zhu, Vasu Sharma, Sean O'Brien:
Deconstructing Bias: A Multifaceted Framework for Diagnosing Cultural and Compositional Inequities in Text-to-Image Generative Models. CoRR abs/2505.01430 (2025) - [i79]Jesus Alvarez C, Daua D. Karajeanes, Ashley Celeste Prado, John Ruttan, Ivory Yang, Sean O'Brien, Vasu Sharma, Kevin Zhu:
Advancing Uto-Aztecan Language Technologies: A Case Study on the Endangered Comanche Language. CoRR abs/2505.18159 (2025) - [i78]Daniel Csizmadia, Andrei Codreanu, Victor Sim, Vighnesh Prabhu, Michael Lu, Kevin Zhu, Sean O'Brien, Vasu Sharma:
Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation. CoRR abs/2505.21549 (2025) - [i77]Stanley Yu, Vaidehi Bulusu, Oscar Yasunaga, Clayton Lau, Cole Blondin, Sean O'Brien, Kevin Zhu, Vasu Sharma:
From Directions to Cones: Exploring Multidimensional Representations of Propositional Facts in LLMs. CoRR abs/2505.21800 (2025) - [i76]Arjun Prasaath Anbazhagan, Parteek Kumar, Ujjwal Kaur, Aslihan Akalin, Kevin Zhu, Sean O'Brien:
Probing Audio-Generation Capabilities of Text-Based Language Models. CoRR abs/2506.00003 (2025) - [i75]Lang Xiong, Raina Gao, Alyssa Jeong, Yicheng Fu, Sean O'Brien, Vasu Sharma, Kevin Zhu:
Sarc7: Evaluating Sarcasm Detection and Generation with Seven Types and Emotion-Informed Techniques. CoRR abs/2506.00658 (2025) - [i74]Abhay Gupta, Michael Lu, Kevin Zhu, Sean O'Brien, Vasu Sharma:
NovelHopQA: Diagnosing Multi-Hop Reasoning Failures in Long Narrative Contexts. CoRR abs/2506.02000 (2025) - [i73]Timothy Do, Pranav Saran, Harshita Poojary, Pranav Prabhu, Sean O'Brien, Vasu Sharma, Kevin Zhu:
Pruning for Performance: Efficient Idiom and Metaphor Classification in Low-Resource Konkani Using mBERT. CoRR abs/2506.02005 (2025) - [i72]Prameshwar Thiyagarajan, Vaishnavi Parimi, Shamant Sai, Soumil Garg, Zhangir Meirbek, Nitin Yarlagadda, Kevin Zhu, Chris Kim:
UniToMBench: Integrating Perspective-Taking to Improve Theory of Mind in LLMs. CoRR abs/2506.09450 (2025) - [i71]Imran Mirza, Cole Huang, Ishwara Vasista, Rohan Patil, Asli Akalin, Sean O'Brien, Kevin Zhu:
MALIBU Benchmark: Multi-Agent LLM Implicit Bias Uncovered. CoRR abs/2507.01019 (2025) - [i70]Atharva Bhargude, Ishan Gonehal, Chandler Haney, Dave Yoon, Kevin Zhu, Aaron Sandoval, Sean O'Brien, Kaustubh Vinnakota:
Adaptive Linguistic Prompting (ALP) Enhances Phishing Webpage Detection in Multimodal Large Language Models. CoRR abs/2507.13357 (2025) - [i69]Ishant Chintapatla, Kazuma Choji, Naaisha Agarwal, Andrew Lin, Hannah You, Charles Duong, Kevin Zhu, Sean O'Brien, Vasu Sharma:
COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark. CoRR abs/2507.13405 (2025) - [i68]Cheng-Ting Chou, George Liu, Jessica Sun, Cole Blondin, Kevin Zhu, Vasu Sharma, Sean O'Brien:
Causal Language Control in Multilingual Transformers via Sparse Feature Steering. CoRR abs/2507.13410 (2025) - [i67]Chloe Ho, Ishneet Sukhvinder Singh, Diya Sharma, Tanvi Reddy Anumandla, Michael Lu, Vasu Sharma, Kevin Zhu:
Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting. CoRR abs/2507.21099 (2025) - [i66]McNair Shah, Saleena Angeline, Adhitya Rajendra Kumar, Naitik Chheda, Kevin Zhu, Vasu Sharma, Sean O'Brien, Will Cai:
The Geometry of Harmfulness in LLMs through Subconcept Probing. CoRR abs/2507.21141 (2025) - [i65]Daniel Son, Sanjana Rathore, Andrew Rufail, Adrian Simon, Daniel Zhang, Soham Dave, Cole Blondin, Kevin Zhu, Sean O'Brien:
Semantic Convergence: Investigating Shared Representations Across Scaled LLMs. CoRR abs/2507.22918 (2025) - [i64]Advey Nandan, Cheng-Ting Chou, Amrit Kurakula, Cole Blondin, Kevin Zhu, Vasu Sharma, Sean O'Brien:
Universal Neurons in GPT-2: Emergence, Persistence, and Functional Impact. CoRR abs/2508.00903 (2025) - [i63]Jason Li, Lauren Yraola, Kevin Zhu, Sean O'Brien:
Error Reflection Prompting: Can Large Language Models Successfully Understand Errors? CoRR abs/2508.16729 (2025) - [i62]Duy Le, Kent Ziti, Evan Girard-Sun, Sean O'Brien, Vasu Sharma, Kevin Zhu:
Filtering for Creativity: Adaptive Prompting for Multilingual Riddle Generation in LLMs. CoRR abs/2508.18709 (2025) - [i61]Neil Kale, Chen Bo Calvin Zhang, Kevin Zhu, Ankit Aich, Paula Rodriguez, Scale Red Team, Christina Q. Knight, Zifan Wang:
Reliable Weak-to-Strong Monitoring of LLM Agents. CoRR abs/2508.19461 (2025) - [i60]Lang Xiong, Nishant Bhargava, Jeremy Chang, Jianhang Hong, Haihao Liu, Vasu Sharma, Kevin Zhu:
Probe-Rewrite-Evaluate: A Workflow for Reliable Benchmarks and Quantifying Evaluation Awareness. CoRR abs/2509.00591 (2025) - [i59]Maheep Chaudhary, Ian Su, Nikhil Hooda, Nishith Shankar, Julia Tan, Kevin Zhu, Ashwinee Panda, Ryan Lagasse, Vasu Sharma:
Evaluation Awareness Scales Predictably in Open-Weights Large Language Models. CoRR abs/2509.13333 (2025) - [i58]Anand Swaroop, Akshat Nallani, Saksham Uboweja, Adiliia Uzdenova, Michael Nguyen, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Vasu Sharma, Maheep Chaudhary:
FRIT: Using Causal Importance to Improve Chain-of-Thought Faithfulness. CoRR abs/2509.13334 (2025) - [i57]Sri Vatsa Vuddanti, Aarav Shah, Satwik Kumar Chittiprolu, Tony Song, Sunishchal Dev, Kevin Zhu, Maheep Chaudhary:
PALADIN: Self-Correcting Language Model Agents to Cure Tool-Failure Cases. CoRR abs/2509.25238 (2025) - [i56]Derek Jiu, Kiran Nijjer, Nishant Chinta, Ryan Bui, Ben Liu, Kevin Zhu:
Evaluating the Impact of Radiographic Noise on Chest X-ray Semantic Segmentation and Disease Classification Using a Scalable Noise Injection Framework. CoRR abs/2509.25265 (2025) - [i55]Kiran Nijjer, Ryan Bui, Derek Jiu, Adnan Ahmed, Peter Wang, Kevin Zhu, Lilly Zhu:
Adapting Large Language Models to Mitigate Skin Tone Biases in Clinical Dermatology Tasks: A Mixed-Methods Study. CoRR abs/2510.00055 (2025) - [i54]Nikita Afonin, Nikita Andriyanov, Nikhil Bageshpura, Kyle Liu, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Alexander Panchenko, Oleg Rogov, Elena Tutubalina, Mikhail Seleznyov:
Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs. CoRR abs/2510.11288 (2025) - [i53]Dharunish Yugeswardeenoo, Harshil Nukala, Cole Blondin, Sean O'Brien, Vasu Sharma, Kevin Zhu:
Interpreting the Latent Structure of Operator Precedence in Language Models. CoRR abs/2510.13908 (2025) - [i52]Haziq Mohammad Khalid, Athikash Jeyaganthan, Timothy Do, Yicheng Fu, Sean O'Brien, Vasu Sharma, Kevin Zhu:
ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models. CoRR abs/2510.14077 (2025) - [i51]Chris Su, Harrison Li, Matheus Marques, George Flint, Kevin Zhu, Sunishchal Dev:
Limits of Emergent Reasoning of Large Language Models in Agentic Frameworks for Deterministic Games. CoRR abs/2510.15974 (2025) - [i50]Manik Rana, Calissa Man, Anotida Expected Msiiwa, Jeffrey Paine, Kevin Zhu, Sunishchal Dev, Vasu Sharma, Ahan M. R:
AgentChangeBench: A Multi-Dimensional Evaluation Framework for Goal-Shift Robustness in Conversational AI. CoRR abs/2510.18170 (2025) - [i49]Shriyansh Agrawal, Aidan Lau, Sanyam Shah, Ahan M. R, Kevin Zhu, Sunishchal Dev, Vasu Sharma:
DuoLens: A Framework for Robust Detection of Machine-Generated Multilingual Text and Code. CoRR abs/2510.18904 (2025) - [i48]Adhyayan Veer Singh, Aaron Shen, Brian Law, Ahmed Ismail, Jonas Rohweder, Sean O'Brien, Kevin Zhu:
SwiftSolve: A Self-Iterative, Complexity-Aware Multi-Agent Framework for Competitive Programming. CoRR abs/2510.22626 (2025) - [i47]Ricardo Vega, Connor Mattson, Kevin Zhu, Daniel S. Brown, Cameron Nowzari:
Analytical Swarm Chemistry: Characterization and Analysis of Emergent Swarm Behaviors. CoRR abs/2510.22821 (2025) - [i46]Eddison Pham, Prisha Priyadarshini, Adrian Maliackel, Kanishk Bandi, Cristian Meo, Kevin Zhu:
DynaStride: Dynamic Stride Windowing with MMCoT for Instructional Multi-Scene Captioning. CoRR abs/2510.23907 (2025) - [i45]Sophie Li, Nicholas Huang, Nayan Saxena, Nina Luo, Vincent Lin, Kevin Zhu, Sunishchal Dev:
Inference-Time Chain-of-Thought Pruning with Latent Informativeness Signals. CoRR abs/2511.00699 (2025) - [i44]Daniel Aarao Reis Arturi, Eric Zhang, Andrew Ansah, Kevin Zhu, Ashwinee Panda, Aishwarya Balwani:
Shared Parameter Subspaces and Cross-Task Linearity in Emergently Misaligned Behavior. CoRR abs/2511.02022 (2025) - [i43]Aashray Reddy, Andrew Zagula, Nicholas Saban, Kevin Zhu:
AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models. CoRR abs/2511.02376 (2025) - [i42]Aayush Aluru, Myra Malik, Samarth Patankar, Spencer Kim, Kevin Zhu, Sean O'Brien, Vasu Sharma:
SMAGDi: Socratic Multi Agent Interaction Graph Distillation for Efficient High Accuracy Reasoning. CoRR abs/2511.05528 (2025) - [i41]Nicholas Babey, Tiffany Gu, Yiheng Li, Cristian Meo, Kevin Zhu:
Grounding Foundational Vision Models with 3D Human Poses for Robust Action Recognition. CoRR abs/2511.05622 (2025) - [i40]Abhishek More, Anthony Zhang, Nicole Bonilla, Ashvik Vivekan, Kevin Zhu, Parham Sharafoleslami, Maheep Chaudhary:
Optimizing Chain-of-Thought Confidence via Topological and Dirichlet Risk Analysis. CoRR abs/2511.06437 (2025) - [i39]Dev Patel, Gabrielle Gervacio, Diekola Raimi, Kevin Zhu, Ryan Lagasse, Gabriel Grand, Ashwinee Panda, Maheep Chaudhary:
Alignment-Constrained Dynamic Pruning for LLMs: Identifying and Preserving Alignment-Critical Circuits. CoRR abs/2511.07482 (2025) - [i38]Shourya Batra, Pierce Tillman, Samarth Gaggar, Shashank Kesineni, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Vasu Sharma, Maheep Chaudhary:
SALT: Steering Activations towards Leakage-free Thinking in Chain of Thought. CoRR abs/2511.07772 (2025) - [i37]Joongho Kim, Xirui Huang, Zarreen Reza, Gabriel Grand, Kevin Zhu, Ryan Lagasse:
Chopping Trees: Semantic Similarity Based Dynamic Pruning for Tree-of-Thought Reasoning. CoRR abs/2511.08595 (2025) - [i36]Jiahang He, Rishi Ramachandran, Neel Ramachandran, Aryan Katakam, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Aryan Shrivastava:
Modeling and Predicting Multi-Turn Answer Instability in Large Language Models. CoRR abs/2511.10688 (2025) - [i35]Ben Zelenskiy, Saibilila Abudukelimu, George Flint, Kevin Zhu, Sunishchal Dev:
Sumudu Neural Operator for ODEs and PDEs. CoRR abs/2511.11762 (2025) - [i34]Logan Mann, Nayan Saxena, Sarah Tandon, Chenhao Sun, Savar Toteja, Kevin Zhu:
Don't Think of the White Bear: Ironic Negation in Transformer Models Under Cognitive Load. CoRR abs/2511.12381 (2025) - 2024
- [c20]William Cagas, Chan Ko, Blake Hsiao, Shryuk Grandhi, Rishi Bhattacharya, Kevin Zhu, Michael Lam:
Medical Imaging Complexity and Its Effects on GAN Performance. ACCV Workshops (1) 2024: 211-220 - [c19]Dharunish Yugeswardeenoo, Kevin Zhu, Sean O'Brien:
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks. ACL (Student Research Workshop) 2024: 543-554 - [c18]Kevin Zhu, Connor Mattson, Shay Snyder, Ricardo Vega, Daniel S. Brown, Maryam Parsa, Cameron Nowzari:
Spiking Neural Networks as a Controller for Emergent Swarm Agents. ICONS 2024: 319-326 - [i33]Grant Kruttschnitt, Jay Shim, Alyssa Ma, Daniel Kim, Benjamin Chek, Athul Anand, Kevin Zhu, Sean O'Brien:
Contrastive Chain-of-Thought Prompting. CoRR abs/2407.03600 (2024) - [i32]Dharunish Yugeswardeenoo, Kevin Zhu, Sean O'Brien:
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks. CoRR abs/2407.03624 (2024) - [i31]Miguel Tjia, Artem Kim, Elaine Wynette Wijaya, Hanna Tefara, Kevin Zhu:
Enhancing Robustness of Human Detection Algorithms in Maritime SAR through Augmented Aerial Images to Simulate Weather Conditions. CoRR abs/2408.13766 (2024) - [i30]Rohin Sood, Kevin Zhu:
Improving Water Quality Time-Series Prediction in Hong Kong using Sentinel-2 MSI Data and Google Earth Engine Cloud Computing. CoRR abs/2408.14010 (2024) - [i29]Elysia Shi, Adithri Manda, London Chowdhury, Runeema Arun, Kevin Zhu, Michael Lam:
Enhancing Depression Diagnosis with Chain-of-Thought Prompting. CoRR abs/2408.14053 (2024) - [i28]Kaylee Chhua, Zhoujinyi Wen, Vedant Hathalia, Kevin Zhu, Sean O'Brien:
From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models. CoRR abs/2408.14842 (2024) - [i27]Abhay Gupta, Philip Meng, Ece Yurtseven, Sean O'Brien, Kevin Zhu:
AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark. CoRR abs/2408.14845 (2024) - [i26]Samir Kassam, Angelo Markham, Katie Vo, Yashas Revanakara, Michael Lam, Kevin Zhu:
Intraoperative Glioma Segmentation with YOLO + SAM for Improved Accuracy in Tumor Resection. CoRR abs/2408.14847 (2024) - [i25]Patricia Dao, Jashmitha Sappa, Saanvi Terala, Tyson Wong, Michael Lam, Kevin Zhu:
Time-series Crime Prediction Across the United States Based on Socioeconomic and Political Factors. CoRR abs/2409.00640 (2024) - [i24]Rajat Rawat, Hudson McBride, Dhiyaan Nirmal, Rajarshi Ghosh, Jong Moon, Dhruv Alamuri, Sean O'Brien, Kevin Zhu:
DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models. CoRR abs/2409.01497 (2024) - [i23]Pranav Senthilkumar, Visshwa Balasubramanian, Prisha Jain, Aneesa Maity, Jonathan Lu, Kevin Zhu:
Fine-Tuning Language Models for Ethical Ambiguity: A Comparative Study of Alignment with Human Responses. CoRR abs/2410.07826 (2024) - [i22]William Tan, Kevin Zhu:
NusaMT-7B: Machine Translation for Low-Resource Indonesian Languages with Large Language Models. CoRR abs/2410.07830 (2024) - [i21]Tim Knappe, Ryan Li, Ayush Chauhan, Kaylee Chhua, Kevin Zhu, Sean O'Brien:
Enhancing Language Model Reasoning via Weighted Reasoning in Self-Consistency. CoRR abs/2410.07839 (2024) - [i20]Aryan Singhal, Veronica Shao, Gary Sun, Ryan Ding, Jonathan Lu, Kevin Zhu:
A Comparative Study of Translation Bias and Accuracy in Multilingual Large Language Models for Cross-Language Claim Verification. CoRR abs/2410.10303 (2024) - [i19]Zhumazhan Balapanov, Edward Magongo, Vanessa Matvei, Olivia Holmberg, Jonathan Pei, Kevin Zhu:
QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and Improved Inference Times in CNN Models. CoRR abs/2410.10318 (2024) - [i18]Kevin Zhu, Connor Mattson, Shay Snyder, Ricardo Vega, Daniel S. Brown, Maryam Parsa, Cameron Nowzari:
Spiking Neural Networks as a Controller for Emergent Swarm Agents. CoRR abs/2410.16175 (2024) - [i17]Ricardo Vega, Kevin Zhu, Connor Mattson, Daniel S. Brown, Cameron Nowzari:
Agent-Based Emulation for Deploying Robot Swarm Behaviors. CoRR abs/2410.16444 (2024) - [i16]William Cagas, Chan Ko, Blake Hsiao, Shryuk Grandhi, Rishi Bhattacharya, Kevin Zhu, Michael Lam:
Medical Imaging Complexity and its Effects on GAN Performance. CoRR abs/2410.17959 (2024) - [i15]Ray Li, Tanishka Bagade, Kevin Martinez, Flora Yasmin, Grant Ayala, Michael Lam, Kevin Zhu:
A Debate-Driven Experiment on LLM Hallucinations and Accuracy. CoRR abs/2410.19485 (2024) - [i14]Anthony Cui, Pranav Nandyalam, Kevin Zhu:
Introducing MAPO: Momentum-Aided Gradient Descent Prompt Optimization. CoRR abs/2410.19499 (2024) - [i13]Ishneet Sukhvinder Singh, Ritvik Aggarwal, Ibrahim Allahverdiyev, Muhammad Taha, Aslihan Akalin, Kevin Zhu, Sean O'Brien:
ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems. CoRR abs/2410.19572 (2024) - [i12]Kaustubh Kislay, Shlok Singh, Soham Joshi, Rohan Dutta, Jay Shim George Flint, Kevin Zhu:
Evaluating K-Fold Cross Validation for Transformer Based Symbolic Regression Models. CoRR abs/2410.21896 (2024) - [i11]Shrey Shah, Alex Lin, Scott Lin, Josh Patel, Michael Lam, Kevin Zhu:
Turkey's Earthquakes: Damage Prediction and Feature Significance Using A Multivariate Analysis. CoRR abs/2411.08903 (2024) - [i10]Joshua Lee, Wyatt Fong, Alexander Le, Sur Shah, Kevin Han, Kevin Zhu:
Pragmatic Metacognitive Prompting Improves LLM Performance on Sarcasm Detection. CoRR abs/2412.04509 (2024) - [i9]Vijay Goyal, Mustafa Khan, Aprameya Tirupati, Harveer Saini, Michael Lam, Kevin Zhu:
Enhancing Knowledge Distillation for LLMs with Response-Priming Prompting. CoRR abs/2412.17846 (2024) - 2023
- [c17]Shay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari, Maryam Parsa:
Zespol: A Lightweight Environment for Training Swarming Agents. ICONS 2023: 24:1-24:5 - [c16]Kevin Zhu, Alexander Wong, John McPhee:
VICE: View-Invariant Chess Estimation. icSPORTS 2023: 50-60 - [i8]Ricardo Vega, Kevin Zhu, Sean Luke, Maryam Parsa, Cameron Nowzari:
Simulate Less, Expect More: Bringing Robot Swarms to Life via Low-Fidelity Simulations. CoRR abs/2301.09018 (2023) - [i7]Shay Snyder, Kevin Zhu, Ricardo Vega, Cameron Nowzari, Maryam Parsa:
Zespol: A Lightweight Environment for Training Swarming Agents. CoRR abs/2306.17744 (2023) - [i6]Daniel Flam-Shepherd, Kevin Zhu, Alán Aspuru-Guzik:
Atom-by-atom protein generation and beyond with language models. CoRR abs/2308.09482 (2023) - [i5]Joseph Prince Mathew, Dinesh Karri, James Yang, Kevin Zhu, Yojan Gautam, Kentaro Nojima-Schmunk, Daigo Shishika, Ningshi Yao, Cameron Nowzari:
Lighter-Than-Air Autonomous Ball Capture and Scoring Robot - Design, Development, and Deployment. CoRR abs/2309.06352 (2023) - [i4]Ricardo Vega, Kevin Zhu, Connor Mattson, Daniel S. Brown, Cameron Nowzari:
Swarm Mechanics and Swarm Chemistry: A Transdisciplinary Approach for Robot Swarms. CoRR abs/2309.11408 (2023) - 2022
- [j31]Zhaoyu Guo, Irwin Khuu, Kevin Zhu, Jeffrey S. Rosenthal, Frederic Paik Schoenberg:
Distinguishing luck from skill through statistical simulation: a case study. Commun. Stat. Simul. Comput. 51(5): 2537-2559 (2022) - [j30]Xicheng Yin, Kevin Zhu, Hongwei Wang, Jiaping Zhang, Wei Wang, Heng Zhang:
Motivating participation in crowdsourcing contests: The role of instruction-writing strategy. Inf. Manag. 59(3): 103616 (2022) - [c15]Kevin Zhu, Alexander Wong, John McPhee:
FenceNet: Fine-grained Footwork Recognition in Fencing. CVPR Workshops 2022: 3588-3597 - [i3]Kevin Zhu, Alexander Wong, John McPhee:
FenceNet: Fine-grained Footwork Recognition in Fencing. CoRR abs/2204.09434 (2022) - 2021
- [j29]Terrence August, Wei Chen, Kevin Zhu:
Competition Among Proprietary and Open-Source Software Firms: The Role of Licensing in Strategic Contribution. Manag. Sci. 67(5): 3041-3066 (2021) - [i2]Daniel Flam-Shepherd, Kevin Zhu, Alán Aspuru-Guzik:
Keeping it Simple: Language Models can learn Complex Molecular Distributions. CoRR abs/2112.03041 (2021) - 2020
- [j28]Wei Wang, Wei Chen, Kevin Zhu, Hongwei Wang:
Emphasizing the entrepreneur or the idea? The impact of text content emphasis on investment decisions in crowdfunding. Decis. Support Syst. 136: 113341 (2020)
2010 – 2019
- 2019
- [j27]Wei Chen, Bin Gu, Qiang Ye, Kevin Xiaoguo Zhu:
Measuring and Managing the Externality of Managerial Responses to Online Customer Reviews. Inf. Syst. Res. 30(1): 81-96 (2019) - [j26]Yuliang Yao, Martin E. Dresner, Kevin Xiaoguo Zhu:
"Monday Effect" on Performance Variations in Supply Chain Fulfillment: How Information Technology-Enabled Procurement May Help. Inf. Syst. Res. 30(4): 1402-1423 (2019) - [i1]Cody Griffith, Varoon Mathur, Catherine Lin, Kevin Zhu:
Understanding Childhood Vulnerability in The City of Surrey. CoRR abs/1903.09639 (2019) - 2018
- [j25]Wei Chen, Xiahua Wei, Kevin Xiaoguo Zhu:
Engaging Voluntary Contributions in Online Communities: A Hidden Markov Mode. MIS Q. 42(1) (2018) - 2017
- [j24]Wei Wang, Kevin Zhu, Hongwei Wang, Yen-Chun Jim Wu:
The Impact of Sentiment Orientations on Successful Crowdfunding Campaigns through Text Analytics. IET Softw. 11(5): 229-238 (2017) - 2016
- [j23]Xuemei Xie, Jiage Huo, Guoyou Qi, Kevin Xiaoguo Zhu:
Green Process Innovation and Financial Performance in Emerging Economies: Moderating Effects of Absorptive Capacity and Green Subsidies. IEEE Trans. Engineering Management 63(1): 101-112 (2016) - [c14]Xiahua Wei, Kevin Zhu:
Competitive Poaching of Customers in Mobile Service Market. HICSS 2016: 5299-5308 - [c13]Daying Zhao, Qiang Ye, Kevin Zhu:
The Influence of Consumers' Information Search Behavior on Purchase Decisions for Experience Goods: Empirical Evidence from Hotel Industry. WHICEB 2016: 24 - 2015
- [c12]Xiahua Wei, Wei Chen, Kevin Zhu:
Motivating User Contributions in Online Knowledge Communities: Virtual Rewards and Reputation. HICSS 2015: 3760-3769 - 2013
- [c11]Wei Chen, Vish Krishnan, Kevin Zhu:
"Release Early, Release Often"? An Empirical Analysis of Release Strategy in Open Source Software Co-Creation. PACIS 2013: 11 - 2012
- [j22]Kevin Xiaoguo Zhu, Zach Zhizhong Zhou:
Research Note - Lock-In Strategy in Software Competition: Open-Source Software vs. Proprietary Software. Inf. Syst. Res. 23(2): 536-545 (2012) - [j21]Yuliang Yao, Kevin Xiaoguo Zhu:
Research Note - Do Electronic Linkages Reduce the Bullwhip Effect? An Empirical Analysis of the U.S. Manufacturing Supply Chains. Inf. Syst. Res. 23(3-2): 1042-1055 (2012) - 2010
- [j20]Zach Zhizhong Zhou, Kevin Xiaoguo Zhu:
The Effects of Information Transparency on Suppliers, Manufacturers, and Consumers in Online Markets. Mark. Sci. 29(6): 1125-1137 (2010) - [c10]Xiahua Wei, Kevin Zhu:
Pro-Competition Public Policy in Network Markets with Switching Costs: Evidence from "Mobile Number Portability" in Wireless Telecommunications Industry. ICIS 2010: 259
2000 – 2009
- 2009
- [j19]Shutao Dong, Sean Xin Xu, Kevin Xiaoguo Zhu:
Research Note - Information Technology in Supply Chains: The Value of IT-Enabled Resources Under Competition. Inf. Syst. Res. 20(1): 18-32 (2009) - 2008
- [j18]Jason L. Dedrick, Sean Xin Xu, Kevin Zhu:
How Does Information Technology Shape Supply-Chain Structure? Evidence on the Number of Suppliers. J. Manag. Inf. Syst. 25(2): 41-72 (2008) - [c9]Shutao Dong, Kevin Zhu:
The Business Value of CRM Systems: A Resource-Based Perspective. HICSS 2008: 277 - [c8]Jason L. Dedrick, Sean Xin Xu, Kevin Zhu:
Information Technology and the Number of Suppliers in a Supply Chain: Is There a Relationship? HICSS 2008: 390 - 2007
- [c7]Kevin Zhu, Zach Zhizhong Zhou:
Conflict of Interest Regarding Information Transparency in a Business-to-Business Electronic Market with Two-Sided Competition. ICIS 2007: 12 - 2006
- [j17]Kevin Zhu, Shutao Dong, Sean Xin Xu, Kenneth L. Kraemer:
Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies. Eur. J. Inf. Syst. 15(6): 601-616 (2006) - [j16]Weiyin Hong, Kevin Zhu:
Migrating to internet-based e-commerce: Factors affecting e-commerce adoption and migration at the firm level. Inf. Manag. 43(2): 204-221 (2006) - [j15]Kevin Zhu, Kenneth L. Kraemer, Sean Xin Xu:
The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business. Manag. Sci. 52(10): 1557-1576 (2006) - [j14]Kevin Zhu, Kenneth L. Kraemer, Vijay Gurbaxani, Sean Xin Xu:
Migration to Open-Standard Interorganizational Systems: Network Effects, Switching Costs, and Path Dependency. MIS Q. 30(Special Issue): 515-538 (2006) - [c6]Zhizhong Patrick Zhou, Kevin Zhu:
Platform Battle with Lock-in. ICIS 2006: 20 - 2005
- [j13]Kevin Zhu, Kenneth L. Kraemer:
Post-Adoption Variations in Usage and Value of E-Business by Organizations: Cross-Country Evidence from the Retail Industry. Inf. Syst. Res. 16(1): 61-84 (2005) - 2004
- [j12]Sean Xin Xu, Kevin Zhu, Jennifer Gibbs:
Global Technology, Local Adoption: A Cross-Country Investigation of Internet Adoption by Companies in the United States and China. Electron. Mark. 14(1): 13-24 (2004) - [j11]Kevin Zhu, Kenneth L. Kraemer, Sean Xin Xu, Jason L. Dedrick:
Information Technology Payoff in E-Business Environments: An International Perspective on Value Creation of E-Business in the Financial Services Industry. J. Manag. Inf. Syst. 21(1): 17-54 (2004) - [j10]Kevin Zhu:
The Complementarity of Information Technology Infrastructure and E-Commerce Capability: A Resource-Based Assessment of Their Business Value. J. Manag. Inf. Syst. 21(1): 167-202 (2004) - [j9]Kevin Zhu:
Information Transparency of Business-to-Business Electronic Markets: A Game-Theoretic Analysis. Manag. Sci. 50(5): 670-685 (2004) - [c5]Sean Xin Xu, Kevin Zhu, Kenneth L. Kraemer:
Factors Affecting E-Business Diffusion in Organizations: Differences between Developed and Developing Countries. AMCIS 2004: 87 - [c4]Kevin Zhu:
Economic Implications of B2B Electronic Markets: The Private and Social Desirability of Information Transparency. HICSS 2004 - [c3]Kevin Zhu, Sean Xin Xu:
The Value of Information Technology in E-Business Environments: The Missing Links in the Renewed IT Value Debate. ICIS 2004: 955-966 - 2003
- [j8]Kevin Zhu, Bryan MacQuarrie:
The economics of digital bundling: the impact of digitization and bundling on the music industry. Commun. ACM 46(9): 264-270 (2003) - [j7]Kevin Zhu, John Weyant:
Strategic Decisions of New Technology Adoption under Asymmetric Information: A Game-Theoretic Model. Decis. Sci. 34(4): 643-675 (2003) - [j6]Kevin Zhu, Kenneth L. Kraemer, Sean Xin Xu:
Electronic business adoption by European firms: a cross-country assessment of the facilitators and inhibitors. Eur. J. Inf. Syst. 12(4): 251-268 (2003) - [c2]Kevin Zhu, Sean Xin Xu, Jason L. Dedrick:
Assessing Drivers of E-Business Value: Results of a Cross-Country Study. ICIS 2003: 181-193 - 2002
- [j5]Paul P. Tallon, Robert J. Kauffman, Henry C. Lucas Jr., Andrew B. Whinston, Kevin Zhu:
Using Real Options Analysis for Evaluating Uncertain Investments in Information Technology: Insights from the ICIS 2001 Debate. Commun. Assoc. Inf. Syst. 9: 9 (2002) - [j4]Kevin Zhu:
Information Transparency in Electronic Marketplaces: Why Data Transparency May Hinder the Adoption of B2B Exchanges. Electron. Mark. 12(2): 92-99 (2002) - [j3]Kevin Zhu, Kenneth L. Kraemer:
e-Commerce Metrics for Net-Enhanced Organizations: Assessing the Value of e-Commerce to Firm Performance in the Manufacturing Sector. Inf. Syst. Res. 13(3): 275-295 (2002) - [c1]Kevin Zhu, Kenneth L. Kraemer, Sean Xin Xu:
A Cross-Country Study of Electronic Business Adoption Using the Technology-Organization-Environment Framework. ICIS 2002: 31 - 2001
- [j2]Kevin Zhu:
Internet-based Distribution of Digital Videos: The Impact on the Motion Picture Industry. Electron. Mark. 11(4): 273-280 (2001)
1990 – 1999
- 1996
- [j1]Kevin Xiaoguo Zhu:
Sensor-based Condition Monitoring and Predictive Maintenance - An Integrated Intelligent Management Support System. Intell. Syst. Account. Finance Manag. 5(4): 241-258 (1996)
Coauthor Index
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