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2020 – today
- 2024
[j15]James C. Lester
, Mohit Bansal, Gautam Biswas, Cindy E. Hmelo-Silver, Jeremy Roschelle, Jonathan P. Rowe:
The AI Institute for Engaged Learning. AI Mag. 45(1): 69-76 (2024)- [j14]Abhilasha Pawar, R. K. Viral, Mohit Bansal:
A novel squirrel-cat optimization based optimal expansion planning for distribution system. Sustain. Comput. Informatics Syst. 43: 101017 (2024) - [j13]Adyasha Maharana, Amita Kamath, Christopher Clark, Mohit Bansal, Aniruddha Kembhavi:
Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [j12]Derek Tam, Mohit Bansal, Colin Raffel:
Merging by Matching Models in Task Parameter Subspaces. Trans. Mach. Learn. Res. 2024 (2024) - [j11]Prateek Yadav, Peter Hase, Mohit Bansal:
INSPIRE: Incorporating Diverse Feature Preferences in Recourse. Trans. Mach. Learn. Res. 2024 (2024) - [c262]Jialu Li, Aishwarya Padmakumar, Gaurav S. Sukhatme, Mohit Bansal:
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation. AAAI 2024: 18517-18526 - [c261]Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Soft Self-Consistency Improves Language Models Agents. ACL (Short Papers) 2024: 287-301 - [c260]Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Fuxiao Liu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang:
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. ACL (1) 2024: 416-442 - [c259]Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan:
The Power of Summary-Source Alignments. ACL (Findings) 2024: 6527-6548 - [c258]Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe:
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. ACL (1) 2024: 7002-7024 - [c257]Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal:
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs. ACL (1) 2024: 7066-7085 - [c256]Yichen Jiang, Xiang Zhou, Mohit Bansal:
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings. ACL (1) 2024: 8360-8383 - [c255]David Wan, Koustuv Sinha, Srini Iyer, Asli Celikyilmaz, Mohit Bansal, Ramakanth Pasunuru:
ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization. ACL (Findings) 2024: 10036-10056 - [c254]Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer:
REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. ACL (1) 2024: 13773-13786 - [c253]Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang:
Evaluating Very Long-Term Conversational Memory of LLM Agents. ACL (1) 2024: 13851-13870 - [c252]Qin Liu, Jaemin Cho, Mohit Bansal, Marc Niethammer:
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts. CVPR 2024: 3773-3782 - [c251]Jaemin Cho, Linjie Li, Zhengyuan Yang, Zhe Gan, Lijuan Wang, Mohit Bansal:
Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation. CVPR Workshops 2024: 5280-5289 - [c250]Zineng Tang, Ziyi Yang, Mahmoud Khademi, Yang Liu, Chenguang Zhu, Mohit Bansal:
CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation. CVPR 2024: 27415-27424 - [c249]Xiaohui Zhang, Jaehong Yoon, Mohit Bansal, Huaxiu Yao:
Multimodal Representation Learning by Alternating Unimodal Adaptation. CVPR 2024: 27446-27456 - [c248]Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal:
Unified Embeddings for Multimodal Retrieval via Frozen LLMs. EACL (Findings) 2024: 1537-1547 - [c247]Yichen Jiang, Marco Del Vecchio, Mohit Bansal, Anders Johannsen:
Hierarchical and Dynamic Prompt Compression for Efficient Zero-shot API Usage. EACL (Findings) 2024: 2162-2174 - [c246]David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal:
Contrastive Region Guidance: Improving Grounding in Vision-Language Models Without Training. ECCV (79) 2024: 198-215 - [c245]Thomas Palmeira Ferraz, Kartik Mehta, Yu-Hsiang Lin, Haw-Shiuan Chang, Shereen Oraby, Sijia Liu, Vivek Subramanian, Tagyoung Chung, Mohit Bansal, Nanyun Peng:
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints. EMNLP (Findings) 2024: 7773-7812 - [c244]Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung:
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM. EMNLP 2024: 8503-8526 - [c243]Suyash Vardhan Mathur, Jainit Sushil Bafna, Kunal Kartik, Harshita Khandelwal, Manish Shrivastava, Vivek Gupta, Mohit Bansal, Dan Roth:
Knowledge-Aware Reasoning over Multimodal Semi-structured Tables. EMNLP (Findings) 2024: 14054-14073 - [c242]Ce Zhang, Taixi Lu, Md Mohaiminul Islam, Ziyang Wang, Shoubin Yu, Mohit Bansal, Gedas Bertasius:
A Simple LLM Framework for Long-Range Video Question-Answering. EMNLP 2024: 21715-21737 - [c241]Jaemin Cho, Yushi Hu, Jason M. Baldridge, Roopal Garg, Peter Anderson, Ranjay Krishna, Mohit Bansal, Jordi Pont-Tuset, Su Wang:
Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation. ICLR 2024 - [c240]Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen:
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. ICLR 2024 - [c239]Adyasha Maharana, Prateek Yadav, Mohit Bansal:
D2 Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning. ICLR 2024 - [c238]Vaidehi Patil, Peter Hase, Mohit Bansal:
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks. ICLR 2024 - [c237]Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models. ICLR 2024 - [c236]Yi-Lin Sung, Jaehong Yoon, Mohit Bansal:
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models. ICLR 2024 - [c235]Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao:
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models. ICLR 2024 - [c234]Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal:
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models. ICML 2024 - [c233]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c232]Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal:
ReGAL: Refactoring Programs to Discover Generalizable Abstractions. ICML 2024 - [c231]Shoubin Yu, Jacob Zhiyuan Fang, Jian Zheng, Gunnar A. Sigurdsson, Vicente Ordonez, Robinson Piramuthu, Mohit Bansal:
Zero-Shot Controllable Image-to-Video Animation via Motion Decomposition. ACM Multimedia 2024: 3332-3341 - [c230]Ansel Blume, Khanh Duy Nguyen, Zhenhailong Wang, Yangyi Chen, Michal Shlapentokh-Rothman, Xiaomeng Jin, Jeonghwan Kim, Zhen Zhu, Jiateng Liu, Kuan-Hao Huang, Mankeerat Sidhu, Xuanming Zhang, Vivian Liu, Raunak Sinha, Te-Lin Wu, Abhay Zala, Elias Stengel-Eskin, Da Yin, Yao Xiao, Utkarsh Mall, Zhou Yu, Kai-Wei Chang, Camille Cobb, Karrie Karahalios, Lydia B. Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji:
MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System. ACM Multimedia 2024: 11252-11254 - [c229]Danfeng Guo, Sanchit Agarwal, Arpit Gupta, Jiun-Yu Kao, Emre Barut, Tagyoung Chung, Jing Huang, Mohit Bansal:
Prompting Vision-Language Models For Aspect-Controlled Generation of Referring Expressions. NAACL-HLT (Findings) 2024: 2793-2807 - [c228]Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, Tushar Khot:
ADaPT: As-Needed Decomposition and Planning with Language Models. NAACL-HLT (Findings) 2024: 4226-4252 - [c227]Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li:
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. NAACL-HLT 2024: 8352-8370 - [e6]Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen:
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-164-3 [contents] - [e5]Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen:
Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-168-1 [contents] - [i271]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i270]Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe:
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. CoRR abs/2401.06751 (2024) - [i269]Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang:
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. CoRR abs/2401.10529 (2024) - [i268]Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal:
ReGAL: Refactoring Programs to Discover Generalizable Abstractions. CoRR abs/2401.16467 (2024) - [i267]Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal:
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models. CoRR abs/2402.01620 (2024) - [i266]Jialu Li, Aishwarya Padmakumar, Gaurav S. Sukhatme, Mohit Bansal:
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation. CoRR abs/2402.03561 (2024) - [i265]Shoubin Yu, Jaehong Yoon, Mohit Bansal:
CREMA: Multimodal Compositional Video Reasoning via Efficient Modular Adaptation and Fusion. CoRR abs/2402.05889 (2024) - [i264]Yichen Jiang, Xiang Zhou, Mohit Bansal:
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings. CoRR abs/2402.06492 (2024) - [i263]Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Xiaojun Xu, Yuguang Yao, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu:
Rethinking Machine Unlearning for Large Language Models. CoRR abs/2402.08787 (2024) - [i262]Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu:
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations. CoRR abs/2402.12348 (2024) - [i261]Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Soft Self-Consistency Improves Language Model Agents. CoRR abs/2402.13212 (2024) - [i260]Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang:
Evaluating Very Long-Term Conversational Memory of LLM Agents. CoRR abs/2402.17753 (2024) - [i259]Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen R. McKeown:
NewsQs: Multi-Source Question Generation for the Inquiring Mind. CoRR abs/2402.18479 (2024) - [i258]David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal:
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training. CoRR abs/2403.02325 (2024) - [i257]Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal:
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data. CoRR abs/2403.06952 (2024) - [i256]Feng Cheng, Ziyang Wang, Yi-Lin Sung, Yan-Bo Lin, Mohit Bansal, Gedas Bertasius:
DAM: Dynamic Adapter Merging for Continual Video QA Learning. CoRR abs/2403.08755 (2024) - [i255]Abhay Zala, Jaemin Cho, Han Lin, Jaehong Yoon, Mohit Bansal:
EnvGen: Generating and Adapting Environments via LLMs for Training Embodied Agents. CoRR abs/2403.12014 (2024) - [i254]Taishi Nakamura, Mayank Mishra, Simone Tedeschi, Yekun Chai, Jason T. Stillerman, Felix Friedrich, Prateek Yadav, Tanmay Laud, Minh Chien Vu, Terry Yue Zhuo, Diganta Misra, Ben Bogin, Xuan-Son Vu, Marzena Karpinska, Arnav Varma Dantuluri, Wojciech Kusa, Tommaso Furlanello, Rio Yokota, Niklas Muennighoff, Suhas Pai, Tosin P. Adewumi, Veronika Laippala, Xiaozhe Yao, Adalberto Junior, Alpay Ariyak, Aleksandr Drozd, Jordan Clive, Kshitij Gupta, Liangyu Chen, Qi Sun, Ken Tsui, Noah Persaud, Nour Moustafa-Fahmy, Tianlong Chen, Mohit Bansal, Nicolo Monti, Tai Dang, Ziyang Luo, Tien-Tung Bui, Roberto Navigli, Virendra Mehta, Matthew Blumberg, Victor May, Huu Nguyen, Sampo Pyysalo:
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order. CoRR abs/2404.00399 (2024) - [i253]Qin Liu, Jaemin Cho, Mohit Bansal, Marc Niethammer:
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts. CoRR abs/2404.00741 (2024) - [i252]Han Lin, Jaemin Cho, Abhay Zala, Mohit Bansal:
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model. CoRR abs/2404.09967 (2024) - [i251]Xuehai He, Jian Zheng, Jacob Zhiyuan Fang, Robinson Piramuthu, Mohit Bansal, Vicente Ordonez, Gunnar A. Sigurdsson, Nanyun Peng, Xin Eric Wang:
FlexEControl: Flexible and Efficient Multimodal Control for Text-to-Image Generation. CoRR abs/2405.04834 (2024) - [i250]Jaehong Yoon, Shoubin Yu, Mohit Bansal:
RACCooN: Remove, Add, and Change Video Content with Auto-Generated Narratives. CoRR abs/2405.18406 (2024) - [i249]Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal:
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos. CoRR abs/2405.19209 (2024) - [i248]Elias Stengel-Eskin, Peter Hase, Mohit Bansal:
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models. CoRR abs/2405.21028 (2024) - [i247]Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan:
The Power of Summary-Source Alignments. CoRR abs/2406.00842 (2024) - [i246]Thomas Hofweber, Peter Hase, Elias Stengel-Eskin, Mohit Bansal:
Are language models rational? The case of coherence norms and belief revision. CoRR abs/2406.03442 (2024) - [i245]Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung:
REAL Sampling: Boosting Factuality and Diversity of Open-Ended Generation via Asymptotic Entropy. CoRR abs/2406.07735 (2024) - [i244]Amith Ananthram, Elias Stengel-Eskin, Carl Vondrick, Mohit Bansal, Kathleen R. McKeown:
See It from My Perspective: Diagnosing the Western Cultural Bias of Large Vision-Language Models in Image Understanding. CoRR abs/2406.11665 (2024) - [i243]Peter Hase, Thomas Hofweber, Xiang Zhou, Elias Stengel-Eskin, Mohit Bansal:
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs? CoRR abs/2406.19354 (2024) - [i242]Yue Zhang, Ziqiao Ma, Jialu Li, Yanyuan Qiao, Zun Wang, Joyce Chai, Qi Wu, Mohit Bansal, Parisa Kordjamshidi:
Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models. CoRR abs/2407.07035 (2024) - [i241]Swarnadeep Saha, Archiki Prasad, Justin Chih-Yao Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal:
System-1.x: Learning to Balance Fast and Slow Planning with Language Models. CoRR abs/2407.14414 (2024) - [i240]Prateek Yadav, Colin Raffel, Mohammed Muqeeth, Lucas Caccia, Haokun Liu, Tianlong Chen, Mohit Bansal, Leshem Choshen, Alessandro Sordoni:
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning. CoRR abs/2408.07057 (2024) - [i239]Suyash Vardhan Mathur, Jainit Sushil Bafna, Kunal Kartik, Harshita Khandelwal, Manish Shrivastava, Vivek Gupta, Mohit Bansal, Dan Roth:
Knowledge-Aware Reasoning over Multimodal Semi-structured Tables. CoRR abs/2408.13860 (2024) - [i238]Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge. CoRR abs/2409.07394 (2024) - [i237]Justin Chih-Yao Chen, Archiki Prasad, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal:
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning. CoRR abs/2409.12147 (2024) - [i236]Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Bandits. CoRR abs/2410.01735 (2024) - [i235]Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha:
VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning. CoRR abs/2410.03478 (2024) - [i234]Prateek Yadav, Tu Vu, Jonathan Lai, Alexandra Chronopoulou, Manaal Faruqui, Mohit Bansal, Tsendsuren Munkhdalai:
What Matters for Model Merging at Scale? CoRR abs/2410.03617 (2024) - [i233]Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal:
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback. CoRR abs/2410.06215 (2024) - [i232]Thomas Palmeira Ferraz, Kartik Mehta, Yu-Hsiang Lin, Haw-Shiuan Chang, Shereen Oraby, Sijia Liu, Vivek Subramanian, Tagyoung Chung, Mohit Bansal, Nanyun Peng:
LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints. CoRR abs/2410.06458 (2024) - [i231]Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen:
Glider: Global and Local Instruction-Driven Expert Router. CoRR abs/2410.07172 (2024) - [i230]Arie Cattan, Paul Roit, Shiyue Zhang, David Wan, Roee Aharoni, Idan Szpektor, Mohit Bansal, Ido Dagan:
Localizing Factual Inconsistencies in Attributable Text Generation. CoRR abs/2410.07473 (2024) - [i229]Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal:
Adapt-∞: Scalable Lifelong Multimodal Instruction Tuning via Dynamic Data Selection. CoRR abs/2410.10636 (2024) - [i228]Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal:
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation. CoRR abs/2410.12761 (2024) - [i227]Elias Stengel-Eskin, Peter Hase, Mohit Bansal:
Teaching Models to Balance Resisting and Accepting Persuasion. CoRR abs/2410.14596 (2024) - [i226]Jialu Li, Yuanzhen Li, Neal Wadhwa, Yael Pritch, David E. Jacobs, Michael Rubinstein, Mohit Bansal, Nataniel Ruiz:
Unbounded: A Generative Infinite Game of Character Life Simulation. CoRR abs/2410.18975 (2024) - [i225]David Wan, Jesse Vig, Mohit Bansal, Shafiq Joty:
On Positional Bias of Faithfulness for Long-form Summarization. CoRR abs/2410.23609 (2024) - [i224]Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung:
Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM. CoRR abs/2411.01610 (2024) - [i223]Archiki Prasad, Weizhe Yuan, Richard Yuanzhe Pang, Jing Xu, Maryam Fazel-Zarandi, Mohit Bansal, Sainbayar Sukhbaatar, Jason Weston, Jane A. Yu:
Self-Consistency Preference Optimization. CoRR abs/2411.04109 (2024) - [i222]Jaemin Cho, Debanjan Mahata, Ozan Irsoy, Yujie He, Mohit Bansal:
M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding. CoRR abs/2411.04952 (2024) - [i221]Andong Deng, Tongjia Chen, Shoubin Yu, Taojiannan Yang, Lincoln Spencer, Yapeng Tian, Ajmal Saeed Mian, Mohit Bansal, Chen Chen:
Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level. CoRR abs/2411.09921 (2024) - [i220]Daeun Lee, Jaehong Yoon, Jaemin Cho, Mohit Bansal:
VideoRepair: Improving Text-to-Video Generation via Misalignment Evaluation and Localized Refinement. CoRR abs/2411.15115 (2024) - [i219]Zun Wang, Jialu Li, Han Lin, Jaehong Yoon, Mohit Bansal:
DreamRunner: Fine-Grained Storytelling Video Generation with Retrieval-Augmented Motion Adaptation. CoRR abs/2411.16657 (2024) - [i218]Justin Chih-Yao Chen, Zifeng Wang, Hamid Palangi, Rujun Han, Sayna Ebrahimi, Long T. Le, Vincent Perot, Swaroop Mishra, Mohit Bansal, Chen-Yu Lee, Tomas Pfister:
Reverse Thinking Makes LLMs Stronger Reasoners. CoRR abs/2411.19865 (2024) - [i217]Gengze Zhou, Yicong Hong, Zun Wang, Chongyang Zhao, Mohit Bansal, Qi Wu:
SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts. CoRR abs/2412.05552 (2024) - [i216]Shiyue Zhang, David Wan, Arie Cattan, Ayal Klein, Ido Dagan, Mohit Bansal:
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