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2020 – today
- 2026
[j27]Arie Cattan, Paul Roit, Shiyue Zhang, David Wan, Roee Aharoni, Idan Szpektor, Mohit Bansal, Ido Dagan:
Localizing Factual Inconsistencies in Attributable Text Generation. Trans. Assoc. Comput. Linguistics 14: 100-123 (2026)- 2025
- [j26]Sijia Liu
, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Yuguang Yao, Chris Yuhao Liu, Xiaojun Xu, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu:
Rethinking machine unlearning for large language models. Nat. Mac. Intell. 7(2): 181-194 (2025) - [j25]Atul Garg, Nidhi Bansal Garg, Mohit Bansal:
Revolutionizing Heart Attack Prevention: Machine Learning Models in Smart Healthcare. SN Comput. Sci. 6(2) (2025) - [j24]Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung:
REAL Sampling: Boosting Factuality and Diversity of Open-ended Generation by Extrapolating the Entropy of an Infinitely Large LM. Trans. Assoc. Comput. Linguistics 13: 760-783 (2025) - [j23]Prateek Yadav, Leshem Choshen, Colin Raffel, Mohit Bansal:
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization. Trans. Mach. Learn. Res. 2025 (2025) - [j22]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. Trans. Mach. Learn. Res. 2025 (2025) - [j21]Prateek Yadav, Tu Vu, Jonathan Lai, Alexandra Chronopoulou, Manaal Faruqui, Mohit Bansal, Tsendsuren Munkhdalai:
What Matters for Model Merging at Scale? Trans. Mach. Learn. Res. 2025 (2025) - [j20]Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao:
Reliable and Responsible Foundation Models. Trans. Mach. Learn. Res. 2025 (2025) - [c291]Eran Hirsch, Aviv Slobodkin, David Wan, Elias Stengel-Eskin, Mohit Bansal, Ido Dagan:
LAQuer: Localized Attribution Queries in Content-grounded Generation. ACL (1) 2025: 15355-15370 - [c290]Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Multi-Attribute Steering of Language Models via Targeted Intervention. ACL (1) 2025: 20619-20634 - [c289]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. CVPR 2025: 3272-3283 - [c288]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. CVPR 2025: 8625-8636 - [c287]Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal:
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback. ICLR 2025 - [c286]Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal, Kathleen McKeown:
See It from My Perspective: How Language Affects Cultural Bias in Image Understanding. ICLR 2025 - [c285]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. ICLR 2025 - [c284]Han Lin, Jaemin Cho, Abhay Zala, Mohit Bansal:
Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model. ICLR 2025 - [c283]Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha:
VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning. ICLR 2025 - [c282]Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal:
Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection. ICLR 2025 - [c281]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. ICLR 2025 - [c280]Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li, Shoubin Yu, Yi Wang, Yu Qiao, Yali Wang, Mohit Bansal, Limin Wang:
Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel. ICLR 2025 - [c279]Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal:
SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation. ICLR 2025 - [c278]Shoubin Yu, Jaehong Yoon, Mohit Bansal:
CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion. ICLR 2025 - [c277]Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao:
Anyprefer: An Agentic Framework for Preference Data Synthesis. ICLR 2025 - [c276]Nithin Sivakumaran, Chia-Yu Yang, Abhay Zala, Shoubin Yu, Daeun Hong, Xiaotian Zou, Elias Stengel-Eskin, Dan Carpenter, Wookhee Min, Cindy E. Hmelo-Silver, Jonathan P. Rowe, James C. Lester, Mohit Bansal:
A Multimodal Classroom Video Question-Answering Framework for Automated Understanding of Collaborative Learning. ICMI 2025: 516-525 - [c275]Archiki Prasad, Weizhe Yuan, Richard Yuanzhe Pang, Jing Xu, Maryam Fazel-Zarandi, Mohit Bansal, Sainbayar Sukhbaatar, Jason E. Weston, Jane Yu:
Self-Consistency Preference Optimization. ICML 2025 - [c274]Elias Stengel-Eskin, Peter Hase, Mohit Bansal:
Teaching Models to Balance Resisting and Accepting Persuasion. NAACL (Long Papers) 2025: 8108-8122 - [c273]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. NAACL (Long Papers) 2025: 8611-8630 - [c272]David Wan, Jesse Vig, Mohit Bansal, Shafiq Joty:
On Positional Bias of Faithfulness for Long-form Summarization. NAACL (Long Papers) 2025: 8791-8810 - [c271]David Wan, Justin Chih-Yao Chen, Elias Stengel-Eskin, Mohit Bansal:
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration. NAACL (Long Papers) 2025: 9882-9901 - [c270]Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge. NAACL (Long Papers) 2025: 11636-11652 - [c269]Danfeng Guo, Sanchit Agarwal, Yu-Hsiang Lin, Jiun-Yu Kao, Tagyoung Chung, Nanyun Peng, Mohit Bansal:
Improving Faithfulness of Text-to-Image Diffusion Models through Inference Intervention. WACV 2025: 4077-4086 - [c268]Feng Cheng, Ziyang Wang, Yi-Lin Sung, Yan-Bo Lin, Mohit Bansal, Gedas Bertasius:
Dam: Dynamic Adapter Merging for Continual Video QA Learning. WACV 2025: 6805-6817 - [i331]Archiki Prasad, Elias Stengel-Eskin, Justin Chih-Yao Chen, Zaid Khan, Mohit Bansal:
Learning to Generate Unit Tests for Automated Debugging. CoRR abs/2502.01619 (2025) - [i330]Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Multi-Attribute Steering of Language Models via Targeted Intervention. CoRR abs/2502.12446 (2025) - [i329]Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang:
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. CoRR abs/2502.14296 (2025) - [i328]Vaidehi Patil, Elias Stengel-Eskin, Mohit Bansal:
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning. CoRR abs/2502.15082 (2025) - [i327]Zaid Khan, Ali Farhadi, Ranjay Krishna, Luca Weihs, Mohit Bansal, Tanmay Gupta:
MutaGReP: Execution-Free Repository-Grounded Plan Search for Code-Use. CoRR abs/2502.15872 (2025) - [i326]Yi-Lin Sung, Prateek Yadav, Jialu Li, Jaehong Yoon, Mohit Bansal:
RSQ: Learning from Important Tokens Leads to Better Quantized LLMs. CoRR abs/2503.01820 (2025) - [i325]Justin Chih-Yao Chen, Sukwon Yun, Elias Stengel-Eskin, Tianlong Chen, Mohit Bansal:
Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning. CoRR abs/2503.05641 (2025) - [i324]Shoubin Yu, Difan Liu, Ziqiao Ma, Yicong Hong, Yang Zhou, Hao Tan, Joyce Chai, Mohit Bansal:
VEGGIE: Instructional Editing and Reasoning of Video Concepts with Grounded Generation. CoRR abs/2503.14350 (2025) - [i323]David Wan, Justin Chih-Yao Chen, Elias Stengel-Eskin, Mohit Bansal:
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration. CoRR abs/2503.15272 (2025) - [i322]Brihi Joshi, Sriram Venkatapathy, Mohit Bansal, Nanyun Peng, Haw-Shiuan Chang:
CoKe: Customizable Fine-Grained Story Evaluation via Chain-of-Keyword Rationalization. CoRR abs/2503.17136 (2025) - [i321]Hanqi Xiao, Yi-Lin Sung, Elias Stengel-Eskin, Mohit Bansal:
Task-Circuit Quantization: Leveraging Knowledge Localization and Interpretability for Compression. CoRR abs/2504.07389 (2025) - [i320]Jialu Li, Shoubin Yu, Han Lin, Jaemin Cho, Jaehong Yoon, Mohit Bansal:
Training-free Guidance in Text-to-Video Generation via Multimodal Planning and Structured Noise Initialization. CoRR abs/2504.08641 (2025) - [i319]Zaid Khan, Elias Stengel-Eskin, Archiki Prasad, Jaemin Cho, Mohit Bansal:
Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems. CoRR abs/2504.09763 (2025) - [i318]Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Retrieval-Augmented Generation with Conflicting Evidence. CoRR abs/2504.13079 (2025) - [i317]Atin Pothiraj, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal:
CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting. CoRR abs/2504.15485 (2025) - [i316]Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Jinhu Fu, Yibo Yan, Hanjun Luo, Liang Lin, Zhihao Xu, Haolang Lu, Xinye Cao, Xinyun Zhou, Weifei Jin, Fanci Meng, Junyuan Mao, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Chengwei Liu, Yifan Zhang, Qiankun Li, Chongye Guo, Yalan Qin, Yi Ding, Donghai Hong, Jiaming Ji, Xinfeng Li, Yifan Jiang, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Yanwei Yue, Wenke Huang, Guancheng Wan, Tianlin Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Joey Tianyi Zhou, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Tianwei Zhang, Xingjun Ma, Xiang Wang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Yuval Elovici, Bhavya Kailkhura, Bo Li, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu-Gang Jiang, Felix Juefei-Xu, Hui Xiong, Xiaofeng Wang, Shuicheng Yan, Dacheng Tao, Philip S. Yu, Qingsong Wen, Yang Liu:
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment. CoRR abs/2504.15585 (2025) - [i315]Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao:
Anyprefer: An Agentic Framework for Preference Data Synthesis. CoRR abs/2504.19276 (2025) - [i314]Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal:
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation. CoRR abs/2505.01456 (2025) - [i313]Zun Wang, Jaemin Cho, Jialu Li, Han Lin, Jaehong Yoon, Yue Zhang, Mohit Bansal:
EPiC: Efficient Video Camera Control Learning with Precise Anchor-Video Guidance. CoRR abs/2505.21876 (2025) - [i312]Ce Zhang, Yan-Bo Lin, Ziyang Wang, Mohit Bansal, Gedas Bertasius:
SiLVR: A Simple Language-based Video Reasoning Framework. CoRR abs/2505.24869 (2025) - [i311]Eran Hirsch, Aviv Slobodkin, David Wan, Elias Stengel-Eskin, Mohit Bansal, Ido Dagan:
LAQuer: Localized Attribution Queries in Content-grounded Generation. CoRR abs/2506.01187 (2025) - [i310]Yiyang Zhou, Yangfan He, Yaofeng Su, Siwei Han, Joel Jang, Gedas Bertasius, Mohit Bansal, Huaxiu Yao:
ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding. CoRR abs/2506.01300 (2025) - [i309]Daeun Lee, Jaehong Yoon, Jaemin Cho, Mohit Bansal:
Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning. CoRR abs/2506.03525 (2025) - [i308]Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt:
OpenThoughts: Data Recipes for Reasoning Models. CoRR abs/2506.04178 (2025) - [i307]Ron Eliav, Arie Cattan, Eran Hirsch, Shahaf Bassan, Elias Stengel-Eskin, Mohit Bansal, Ido Dagan:
CLATTER: Comprehensive Entailment Reasoning for Hallucination Detection. CoRR abs/2506.05243 (2025) - [i306]David Wan, Han Wang, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal:
CLaMR: Contextualized Late-Interaction for Multimodal Content Retrieval. CoRR abs/2506.06144 (2025) - [i305]Emmanouil Zaranis, António Farinhas, Saul José Rodrigues dos Santos, Beatriz Canaverde, Miguel Moura Ramos, Aditya K. Surikuchi, André Viveiros, Baohao Liao, Elena Belén Bueno-Benito, Nithin Sivakumaran, Pavlo Vasylenko, Shoubin Yu, Sonal Sannigrahi, Wafaa Mohammed, Ben Peters, Danae Sánchez Villegas, Elias Stengel-Eskin, Giuseppe Attanasio, Jaehong Yoon, Stella Frank, Alessandro Suglia, Chrysoula Zerva, Desmond Elliott, Mariella Dimiccoli, Mohit Bansal, Oswald Lanz, Raffaella Bernardi, Raquel Fernández, Sandro Pezzelle, Vlad Niculae, André F. T. Martins:
Movie Facts and Fibs (MF2): A Benchmark for Long Movie Understanding. CoRR abs/2506.06275 (2025) - [i304]David Wan, Eran Hirsch, Elias Stengel-Eskin, Ido Dagan, Mohit Bansal:
GenerationPrograms: Fine-grained Attribution with Executable Programs. CoRR abs/2506.14580 (2025) - [i303]Hyunji Lee, Seunghyun Yoon, Yunjae Won, Hanseok Oh, Geewook Kim, Trung Bui, Franck Dernoncourt, Elias Stengel-Eskin, Mohit Bansal, Minjoon Seo:
Context-Informed Grounding Supervision. CoRR abs/2506.15480 (2025) - [i302]Shoubin Yu, Yue Zhang, Ziyang Wang, Jaehong Yoon, Mohit Bansal:
MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation. CoRR abs/2506.17113 (2025) - [i301]Ziqiao Ma, Xuweiyi Chen, Shoubin Yu, Sai Bi, Kai Zhang, Ziwen Chen, Sihan Xu, Jianing Yang, Zexiang Xu, Kalyan Sunkavalli, Mohit Bansal, Joyce Chai, Hao Tan:
4D-LRM: Large Space-Time Reconstruction Model From and To Any View at Any Time. CoRR abs/2506.18890 (2025) - [i300]Ziyang Wang, Jaehong Yoon, Shoubin Yu, Md Mohaiminul Islam, Gedas Bertasius, Mohit Bansal:
Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning. CoRR abs/2507.06485 (2025) - [i299]Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs. CoRR abs/2507.18043 (2025) - [i298]Han Lin, Jaemin Cho, Amir Zadeh, Chuan Li, Mohit Bansal:
Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-level CLIP Latents. CoRR abs/2508.05954 (2025) - [i297]Tianyi Niu, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal:
RotBench: Evaluating Multimodal Large Language Models on Identifying Image Rotation. CoRR abs/2508.13968 (2025) - [i296]Parker Seegmiller, Kartik Mehta, Soumya Saha, Chenyang Tao, Shereen Oraby, Arpit Gupta, Tagyoung Chung, Mohit Bansal, Nanyun Peng:
FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline. CoRR abs/2508.16514 (2025) - [i295]Jio Choi, Mohit Bansal, Elias Stengel-Eskin:
Language Models Identify Ambiguities and Exploit Loopholes. CoRR abs/2508.19546 (2025) - [i294]Vaidehi Patil, Elias Stengel-Eskin, Mohit Bansal:
The Sum Leaks More Than Its Parts: Compositional Privacy Risks and Mitigations in Multi-Agent Collaboration. CoRR abs/2509.14284 (2025) - [i293]Songze Li, Zun Wang, Gengze Zhou, Jialu Li, Xiangyu Zeng, Limin Wang, Yu Qiao, Qi Wu, Mohit Bansal, Yi Wang:
Learning Goal-Oriented Language-Guided Navigation with Self-Improving Demonstrations at Scale. CoRR abs/2509.24910 (2025) - [i292]Hanqi Xiao, Vaidehi Patil, Hyunji Lee, Elias Stengel-Eskin, Mohit Bansal:
Generalized Correctness Models: Learning Calibrated and Model-Agnostic Correctness Predictors from Historical Patterns. CoRR abs/2509.24988 (2025) - [i291]Justin Chih-Yao Chen, Becky Xiangyu Peng, Prafulla Kumar Choubey, Kung-Hsiang Huang, Jiaxin Zhang, Mohit Bansal, Chien-Sheng Wu:
Nudging the Boundaries of LLM Reasoning. CoRR abs/2509.25666 (2025) - [i290]Joykirat Singh, Justin Chih-Yao Chen, Archiki Prasad, Elias Stengel-Eskin, Akshay Nambi, Mohit Bansal:
Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression. CoRR abs/2510.01581 (2025) - [i289]Siwei Han, Jiaqi Liu, Yaofeng Su, Wenbo Duan, Xinyuan Liu, Cihang Xie, Mohit Bansal, Mingyu Ding, Linjun Zhang, Huaxiu Yao:
Alignment Tipping Process: How Self-Evolution Pushes LLM Agents Off the Rails. CoRR abs/2510.04860 (2025) - [i288]Yixiao Wang, Mingxiao Huo, Zhixuan Liang, Yushi Du, Lingfeng Sun, Haotian Lin, Jinghuan Shang, Chensheng Peng, Mohit Bansal, Mingyu Ding, Masayoshi Tomizuka:
VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing. CoRR abs/2510.05213 (2025) - [i287]Andong Deng, Taojiannan Yang, Shoubin Yu, Lincoln Spencer, Mohit Bansal, Chen Chen, Serena Yeung-Levy, Xiaohan Wang:
SciVideoBench: Benchmarking Scientific Video Reasoning in Large Multimodal Models. CoRR abs/2510.08559 (2025) - [i286]Zaid Khan, Archiki Prasad, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal:
One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration. CoRR abs/2510.12088 (2025) - [i285]Amith Ananthram, Elias Stengel-Eskin, Lorena A. Bradford, Julia Demarest, Adam Purvis, Keith Krut, Robert Stein, Rina Elster Pantalony, Mohit Bansal, Kathleen McKeown:
PoSh: Using Scene Graphs To Guide LLMs-as-a-Judge For Detailed Image Descriptions. CoRR abs/2510.19060 (2025) - [i284]Hyunji Lee, Minseon Kim, Chinmay Singh, Matheus Pereira, Atharv Sonwane, Isadora White, Elias Stengel-Eskin, Mohit Bansal, Zhengyan Shi, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan, Lucas Caccia:
Gistify! Codebase-Level Understanding via Runtime Execution. CoRR abs/2510.26790 (2025) - [i283]Sapir Harary, Eran Hirsch, Aviv Slobodkin, David Wan, Mohit Bansal, Ido Dagan:
PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise. CoRR abs/2511.01359 (2025) - [i282]Yue Zhang, Zun Wang, Han Lin, Jialu Li, Jianing Yang, Yonatan Bitton, Idan Szpektor, Mohit Bansal:
Error-Driven Scene Editing for 3D Grounding in Large Language Models. CoRR abs/2511.14086 (2025) - [i281]Yifan Li, Lichi Li, Anh Dao, Xinyu Zhou, Yicheng Qiao, Zheda Mai, Daeun Lee, Zichen Chen, Zhen Tan, Mohit Bansal, Yu Kong:
IndustryNav: Exploring Spatial Reasoning of Embodied Agents in Dynamic Industrial Navigation. CoRR abs/2511.17384 (2025) - [i280]Yidong Huang, Zun Wang, Han Lin, Dong-Ki Kim, Shayegan Omidshafiei, Jaehong Yoon, Yue Zhang, Mohit Bansal:
Planning with Sketch-Guided Verification for Physics-Aware Video Generation. CoRR abs/2511.17450 (2025) - [i279]Jaewoo Lee, Archiki Prasad, Justin Chih-Yao Chen, Zaid Khan, Elias Stengel-Eskin, Mohit Bansal:
PRInTS: Reward Modeling for Long-Horizon Information Seeking. CoRR abs/2511.19314 (2025) - [i278]Noah Frahm, Prakrut Patel, Yue Zhang, Shoubin Yu, Mohit Bansal, Roni Sengupta:
Prune-Then-Plan: Step-Level Calibration for Stable Frontier Exploration in Embodied Question Answering. CoRR abs/2511.19768 (2025) - [i277]Daeun Lee, Subhojyoti Mukherjee, Branislav Kveton, Ryan A. Rossi, Viet Dac Lai, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Mohit Bansal:
StreamGaze: Gaze-Guided Temporal Reasoning and Proactive Understanding in Streaming Videos. CoRR abs/2512.01707 (2025) - [i276]Ziyang Wang, Honglu Zhou, Shijie Wang, Junnan Li, Caiming Xiong, Silvio Savarese, Mohit Bansal, Michael S. Ryoo, Juan Carlos Niebles:
Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding. CoRR abs/2512.05774 (2025) - [i275]Chaoyang Wang, Yangfan He, Yiyang Zhou, Yixuan Wang, Jiaqi Liu, Peng Xia, Zhengzhong Tu, Mohit Bansal, Huaxiu Yao:
Knowing the Answer Isn't Enough: Fixing Reasoning Path Failures in LVLMs. CoRR abs/2512.06258 (2025) - [i274]Nithin Sivakumaran, Justin Chih-Yao Chen, David Wan, Yue Zhang, Jaehong Yoon, Elias Stengel-Eskin, Mohit Bansal:
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning. CoRR abs/2512.07132 (2025) - [i273]Fengli Wu, Vaidehi Patil, Jaehong Yoon, Yue Zhang, Mohit Bansal:
MedForget: Hierarchy-Aware Multimodal Unlearning Testbed for Medical AI. CoRR abs/2512.09867 (2025) - [i272]Han Lin, Xichen Pan, Ziqi Huang, Ji Hou, Jialiang Wang, Weifeng Chen, Zecheng He, Felix Juefei-Xu, Junzhe Sun, Zhipeng Fan, Ali K. Thabet, Mohit Bansal, Chu Wang:
Exploring MLLM-Diffusion Information Transfer with MetaCanvas. CoRR abs/2512.11464 (2025) - 2024
- [j19]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) - [j18]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) - [j17]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. Trans. Mach. Learn. Res. 2024 (2024) - [j16]Peter Hase, Thomas Hofweber, Xiang Zhou, Elias Stengel-Eskin, Mohit Bansal:
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs? Trans. Mach. Learn. Res. 2024 (2024) - [j15]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. Trans. Mach. Learn. Res. 2024 (2024) - [j14]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) - [j13]Vaidehi Patil, Yi-Lin Sung, Peter Hase, Jie Peng, Tianlong Chen, Mohit Bansal:
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation. 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) - [c267]Jialu Li, Aishwarya Padmakumar, Gaurav S. Sukhatme, Mohit Bansal:
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation. AAAI 2024: 18517-18526 - [c266]Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Soft Self-Consistency Improves Language Models Agents. ACL (Short Papers) 2024: 287-301 - [c265]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 - [c264]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 - [c263]Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe:
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. ACL (1) 2024: 7002-7024 - [c262]Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal:
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs. ACL (1) 2024: 7066-7085 - [c261]Yichen Jiang, Xiang Zhou, Mohit Bansal:
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings. ACL (1) 2024: 8360-8383 - [c260]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 - [c259]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 - [c258]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 - [c257]Qin Liu, Jaemin Cho, Mohit Bansal, Marc Niethammer:
Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts. CVPR 2024: 3773-3782 - [c256]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 - [c255]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 - [c254]Xiaohui Zhang, Jaehong Yoon, Mohit Bansal, Huaxiu Yao:
Multimodal Representation Learning by Alternating Unimodal Adaptation. CVPR 2024: 27446-27456 - [c253]Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal:
Unified Embeddings for Multimodal Retrieval via Frozen LLMs. EACL (Findings) 2024: 1537-1547 - [c252]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 - [c251]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 - [c250]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 - [c249]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 - [c248]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 - [c247]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 - [c246]D. Blandina Miracle, R. K. Viral, P. M. Tiwari, Mohit Bansal:
Techno-economic Evaluation Optimization Framework for Grid independent IRESs with Biogas and Wind power systems. ICCCNT 2024: 1-6 - [c245]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 - [c244]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 - [c243]Adyasha Maharana, Prateek Yadav, Mohit Bansal:
D2 Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning. ICLR 2024 - [c242]Vaidehi Patil, Peter Hase, Mohit Bansal:
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks. ICLR 2024 - [c241]