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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) - [c250]Jialu Li, Aishwarya Padmakumar, Gaurav S. Sukhatme, Mohit Bansal:
VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation. AAAI 2024: 18517-18526 - [c249]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 - [c248]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 - [c247]Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe:
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. ACL (1) 2024: 7002-7024 - [c246]Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal:
ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs. ACL (1) 2024: 7066-7085 - [c245]Yichen Jiang, Xiang Zhou, Mohit Bansal:
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings. ACL (1) 2024: 8360-8383 - [c244]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 - [c243]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 - [c242]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 - [c241]Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal:
Unified Embeddings for Multimodal Retrieval via Frozen LLMs. EACL (Findings) 2024: 1537-1547 - [c240]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 - [c239]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 - [c238]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 - [c237]Adyasha Maharana, Prateek Yadav, Mohit Bansal:
D2 Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning. ICLR 2024 - [c236]Vaidehi Patil, Peter Hase, Mohit Bansal:
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks. ICLR 2024 - [c235]Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models. ICLR 2024 - [c234]Yi-Lin Sung, Jaehong Yoon, Mohit Bansal:
ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models. ICLR 2024 - [c233]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 - [c232]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 - [c231]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 - [c230]Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal:
ReGAL: Refactoring Programs to Discover Generalizable Abstractions. ICML 2024 - [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 - [i244]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) - [i243]Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe:
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. CoRR abs/2401.06751 (2024) - [i242]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) - [i241]Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal:
ReGAL: Refactoring Programs to Discover Generalizable Abstractions. CoRR abs/2401.16467 (2024) - [i240]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) - [i239]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) - [i238]Shoubin Yu, Jaehong Yoon, Mohit Bansal:
CREMA: Multimodal Compositional Video Reasoning via Efficient Modular Adaptation and Fusion. CoRR abs/2402.05889 (2024) - [i237]Yichen Jiang, Xiang Zhou, Mohit Bansal:
Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings. CoRR abs/2402.06492 (2024) - [i236]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) - [i235]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) - [i234]Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Soft Self-Consistency Improves Language Model Agents. CoRR abs/2402.13212 (2024) - [i233]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) - [i232]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) - [i231]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) - [i230]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) - [i229]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) - [i228]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) - [i227]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) - [i226]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) - [i225]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) - [i224]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) - [i223]Jaehong Yoon, Shoubin Yu, Mohit Bansal:
RACCooN: Remove, Add, and Change Video Content with Auto-Generated Narratives. CoRR abs/2405.18406 (2024) - [i222]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) - [i221]Elias Stengel-Eskin, Peter Hase, Mohit Bansal:
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models. CoRR abs/2405.21028 (2024) - [i220]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) - [i219]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) - [i218]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) - [i217]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) - [i216]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) - [i215]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) - [i214]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) - 2023
- [j10]Jiaao Chen, Derek Tam, Colin Raffel, Mohit Bansal, Diyi Yang:
An Empirical Survey of Data Augmentation for Limited Data Learning in NLP. Trans. Assoc. Comput. Linguistics 11: 191-211 (2023) - [j9]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023) - [c226]Jie Lei, Tamara L. Berg, Mohit Bansal:
Revealing Single Frame Bias for Video-and-Language Learning. ACL (1) 2023: 487-507 - [c225]Prateek Yadav, Mohit Bansal:
Exclusive Supermask Subnetwork Training for Continual Learning. ACL (Findings) 2023: 569-587 - [c224]Prateek Yadav, Qing Sun, Hantian Ding, Xiaopeng Li, Dejiao Zhang, Ming Tan, Parminder Bhatia, Xiaofei Ma, Ramesh Nallapati, Murali Krishna Ramanathan, Mohit Bansal, Bing Xiang:
Exploring Continual Learning for Code Generation Models. ACL (2) 2023: 782-792 - [c223]Shiyue Zhang, David Wan, Mohit Bansal:
Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization. ACL (1) 2023: 2153-2174 - [c222]Derek Tam, Anisha Mascarenhas, Shiyue Zhang, Sarah Kwan, Mohit Bansal, Colin Raffel:
Evaluating the Factual Consistency of Large Language Models Through News Summarization. ACL (Findings) 2023: 5220-5255 - [c221]Yu Zhou, Sha Li, Manling Li, Xudong Lin, Shih-Fu Chang, Mohit Bansal, Heng Ji:
Non-Sequential Graph Script Induction via Multimedia Grounding. ACL (1) 2023: 5529-5545 - [c220]Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg:
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. ACL (1) 2023: 9027-9050 - [c219]Swarnadeep Saha, Xinyan Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz:
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. ACL (Findings) 2023: 11069-11090 - [c218]Archiki Prasad, Trung Bui, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Mohit Bansal:
MeetingQA: Extractive Question-Answering on Meeting Transcripts. ACL (1) 2023: 15000-15025 - [c217]Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius:
Vision Transformers are Parameter-Efficient Audio-Visual Learners. CVPR 2023: 2299-2309 - [c216]Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius:
VindLU: A Recipe for Effective Video-and-Language Pretraining. CVPR 2023: 10739-10750 - [c215]Jialu Li, Mohit Bansal:
Improving Vision-and-Language Navigation by Generating Future-View Image Semantics. CVPR 2023: 10803-10812 - [c214]Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal:
Unifying Vision, Text, and Layout for Universal Document Processing. CVPR 2023: 19254-19264 - [c213]Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal:
Hierarchical Video-Moment Retrieval and Step-Captioning. CVPR 2023: 23056-23065 - [c212]Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal:
Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction. EACL 2023: 1688-1699 - [c211]Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer:
Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models. EACL 2023: 2706-2723 - [c210]David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal:
Faithfulness-Aware Decoding Strategies for Abstractive Summarization. EACL 2023: 2856-2872 - [c209]Yi Fung, Han Wang, Tong Wang, Ali Kebarighotbi, Mohit Bansal, Heng Ji, Prem Natarajan:
DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis. EACL 2023: 3033-3043 - [c208]Lisa Bauer, Hanna Tischer, Mohit Bansal:
Social Commonsense for Explanation and Cultural Bias Discovery. EACL 2023: 3727-3742 - [c207]Archiki Prasad, Peter Hase, Xiang Zhou, Mohit Bansal:
GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models. EACL 2023: 3827-3846 - [c206]Yi-Lin Sung, Linjie Li, Kevin Lin, Zhe Gan, Mohit Bansal, Lijuan Wang:
An Empirical Study of Multimodal Model Merging. EMNLP (Findings) 2023: 1563-1575 - [c205]David Wan, Shiyue Zhang, Mohit Bansal:
HistAlign: Improving Context Dependency in Language Generation by Aligning with History. EMNLP 2023: 2941-2960 - [c204]Vaidehi Patil, Adyasha Maharana, Mohit Bansal:
Debiasing Multimodal Models via Causal Information Minimization. EMNLP (Findings) 2023: 4108-4123 - [c203]Archiki Prasad, Swarnadeep Saha, Xiang Zhou, Mohit Bansal:
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness. EMNLP 2023: 10066-10086 - [c202]Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer:
Generating Summaries with Controllable Readability Levels. EMNLP 2023: 11669-11687 - [c201]Xiang Zhou, Yichen Jiang, Mohit Bansal:
Data Factors for Better Compositional Generalization. EMNLP 2023: 14549-14566 - [c200]Ziyang Wang, Yi-Lin Sung, Feng Cheng, Gedas Bertasius, Mohit Bansal:
Unified Coarse-to-Fine Alignment for Video-Text Retrieval. ICCV 2023: 2804-2815 - [c199]Jaemin Cho, Abhay Zala, Mohit Bansal:
DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models. ICCV 2023: 3020-3031 - [c198]Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao:
Scaling Data Generation in Vision-and-Language Navigation. ICCV 2023: 11975-11986 - [c197]Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal:
Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. ICLR 2023 - [c196]Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer:
On Conditional and Compositional Language Model Differentiable Prompting. IJCAI 2023: 4136-4144 - [c195]Jaemin Cho, Abhay Zala, Mohit Bansal:
Visual Programming for Step-by-Step Text-to-Image Generation and Evaluation. NeurIPS 2023 - [c194]Peter Hase, Mohit Bansal, Been Kim, Asma Ghandeharioun:
Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models. NeurIPS 2023 - [c193]Jialu Li, Mohit Bansal:
PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation. NeurIPS 2023 - [c192]Swarnadeep Saha, Peter Hase, Mohit Bansal:
Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization. NeurIPS 2023 - [c191]Zineng Tang, Ziyi Yang, Chenguang Zhu, Michael Zeng, Mohit Bansal:
Any-to-Any Generation via Composable Diffusion. NeurIPS 2023 - [c190]Zhenhailong Wang, Ansel Blume, Sha Li, Genglin Liu, Jaemin Cho, Zineng Tang, Mohit Bansal, Heng Ji:
Paxion: Patching Action Knowledge in Video-Language Foundation Models. NeurIPS 2023 - [c189]Prateek Yadav, Derek Tam, Leshem Choshen, Colin A. Raffel, Mohit Bansal:
TIES-Merging: Resolving Interference When Merging Models. NeurIPS 2023 - [c188]Zhuofan Ying, Peter Hase, Mohit Bansal:
Adaptive Contextual Perception: How To Generalize To New Backgrounds and Ambiguous Objects. NeurIPS 2023 - [c187]Shoubin Yu, Jaemin Cho, Prateek Yadav, Mohit Bansal:
Self-Chained Image-Language Model for Video Localization and Question Answering. NeurIPS 2023 - [c186]Xiang Zhou, Aditya Gupta, Shyam Upadhyay, Mohit Bansal, Manaal Faruqui:
Can Sequence-to-Sequence Transformers Naturally Understand Sequential Instructions? *SEM@ACL 2023: 527-534 - [c185]Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal:
PERCEIVER-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. WACV 2023: 4399-4409 - [i213]