| 2026 | AAAI | DreamRunner: Fine-Grained Compositional Story-to-Video Generation with Retrieval-Augmented Motion Adaptation. | Zun Wang, Jialu Li, Han Lin, Jaehong Yoon, Mohit Bansal |
| 2026 | ACL | PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise. | Sapir Harary, Eran Hirsch, Aviv Slobodkin, David Wan, Mohit Bansal, Ido Dagan |
| 2026 | ACL | PRInTS: Reward Modeling for Long-Horizon Information Seeking. | Jaewoo Lee, Archiki Prasad, Justin Chih-Yao Chen, Zaid Khan, Elias Stengel-Eskin, Mohit Bansal |
| 2026 | ACL | Self-Correcting Text-to-Video Generation with Misalignment Detection and Localized Refinement. | Daeun Lee, Jaehong Yoon, Jaemin Cho, Mohit Bansal |
| 2026 | ACL | GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs. | Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal |
| 2026 | ACL | Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection. | Tianyi Niu, Justin Chih-Yao Chen, Genta Indra Winata, Shi-Xiong Zhang, Supriyo Chakraborty, Sambit Sahu, Yue Zhang, Elias Stengel-Eskin, Mohit Bansal |
| 2026 | ACL | Stabilizing Efficient Reasoning with Step-Level Advantage Selection. | Han Wang, Xiaodong Yu, Jialian Wu, Jiang Liu, Ximeng Sun, Mohit Bansal, Zicheng Liu |
| 2026 | EACL | Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact. | Hyunji Lee, Seunghyun Yoon, Yunjae Won, Hanseok Oh, Geewook Kim, Trung Bui, Franck Dernoncourt, Elias Stengel-Eskin, Mohit Bansal, Minjoon Seo |
| 2026 | EACL | RotBench: Evaluating Multi-modal Large Language Models on Identifying Image Rotation. | Tianyi Niu, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal |
| 2026 | EACL | DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning. | Nithin Sivakumaran, Justin Chih-Yao Chen, David Wan, Yue Zhang, Jaehong Yoon, Elias Stengel-Eskin, Mohit Bansal |
| 2026 | LAK | A Novel Approach to Evaluating the Effectiveness of Large Language Models for Multimodal Analysis of Embodied Learning in Classrooms. | Joyce Horn Fonteles, Nithin Sivakumaran, Clayton Cohn, Austin Coursey, Shoubin Yu, Elias Stengel-Eskin, Ashwin T. S., Mohit Bansal, Gautam Biswas |
| 2026 | WACV | TimeRefine: Temporal Grounding with Time Refining Video LLM. | Xizi Wang, Feng Cheng, Ziyang Wang, Huiyu Wang, Md Mohaiminul Islam, Lorenzo Torresani, Mohit Bansal, Gedas Bertasius, David Crandall |
| 2025 | ACL | LAQuer: Localized Attribution Queries in Content-grounded Generation. | Eran Hirsch, Aviv Slobodkin, David Wan, Elias Stengel-Eskin, Mohit Bansal, Ido Dagan |
| 2025 | ACL | Multi-Attribute Steering of Language Models via Targeted Intervention. | Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal |
| 2025 | CVPR | Motion-Grounded Video Reasoning: Understanding and Perceiving Motion at Pixel Level. | Andong Deng, Tongjia Chen, Shoubin Yu, Taojiannan Yang, Lincoln Spencer, Yapeng Tian, Ajmal Saeed Mian, Mohit Bansal, Chen Chen |
| 2025 | CVPR | VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos. | Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal |
| 2025 | EMNLP | MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning. | Justin Chih-Yao Chen, Archiki Prasad, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal |
| 2025 | EMNLP | Language Models Identify Ambiguities and Exploit Loopholes. | Jio Choi, Mohit Bansal, Elias Stengel-Eskin |
| 2025 | EMNLP | Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning. | Daeun Lee, Jaehong Yoon, Jaemin Cho, Mohit Bansal |
| 2025 | EMNLP | Glider: Global and Local Instruction-Driven Expert Router. | Pingzhi Li, Prateek Yadav, Jaehong Yoon, Jie Peng, Yi-Lin Sung, Mohit Bansal, Tianlong Chen |
| 2025 | EMNLP | FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline. | Parker Seegmiller, Kartik Mehta, Soumya Saha, Chenyang Tao, Shereen Oraby, Arpit Gupta, Tagyoung Chung, Mohit Bansal, Nanyun Peng |
| 2025 | EMNLP | Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning. | Ziyang Wang, Jaehong Yoon, Shoubin Yu, Md Mohaiminul Islam, Gedas Bertasius, Mohit Bansal |
| 2025 | EMNLP | RACCooN: Versatile Instructional Video Editing with Auto-Generated Narratives. | Jaehong Yoon, Shoubin Yu, Mohit Bansal |
| 2025 | EMNLP | MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation. | Shoubin Yu, Yue Zhang, Ziyang Wang, Jaehong Yoon, Mohit Bansal |
| 2025 | ICCV | M3DocVQA: Multi-Modal Multi-Page Multi-Document Understanding. | Jaemin Cho, Debanjan Mahata, Ozan Irsoy, Yujie He, Mohit Bansal |
| 2025 | ICCV | CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting. | Atin Pothiraj, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal |
| 2025 | ICCV | VEGGIE: Instructional Editing and Reasoning Video Concepts with Grounded Generation. | Shoubin Yu, Difan Liu, Ziqiao Ma, Yicong Hong, Yang Zhou, Hao Tan, Joyce Chai, Mohit Bansal |
| 2025 | ICCV | SAME: Learning Generic Language-Guided Visual Navigation with State-Adaptive Mixture of Experts. | Gengze Zhou, Yicong Hong, Zun Wang, Chongyang Zhao, Mohit Bansal, Qi Wu |
| 2025 | ICLR | DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback. | Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal |
| 2025 | ICLR | See It from My Perspective: How Language Affects Cultural Bias in Image Understanding. | Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal, Kathleen McKeown |
| 2025 | ICLR | Unbounded: A Generative Infinite Game of Character Life Simulation. | Jialu Li, Yuanzhen Li, Neal Wadhwa, Yael Pritch, David E. Jacobs, Michael Rubinstein, Mohit Bansal, Nataniel Ruiz |
| 2025 | ICLR | Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model. | Han Lin, Jaemin Cho, Abhay Zala, Mohit Bansal |
| 2025 | ICLR | VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning. | Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha |
| 2025 | ICLR | Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection. | Adyasha Maharana, Jaehong Yoon, Tianlong Chen, Mohit Bansal |
| 2025 | ICLR | System 1.x: Learning to Balance Fast and Slow Planning with Language Models. | Swarnadeep Saha, Archiki Prasad, Justin Chih-Yao Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal |
| 2025 | ICLR | Bootstrapping Language-Guided Navigation Learning with Self-Refining Data Flywheel. | Zun Wang, Jialu Li, Yicong Hong, Songze Li, Kunchang Li, Shoubin Yu, Yi Wang, Yu Qiao, Yali Wang, Mohit Bansal, Limin Wang |
| 2025 | ICLR | SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation. | Jaehong Yoon, Shoubin Yu, Vaidehi Patil, Huaxiu Yao, Mohit Bansal |
| 2025 | ICLR | CREMA: Generalizable and Efficient Video-Language Reasoning via Multimodal Modular Fusion. | Shoubin Yu, Jaehong Yoon, Mohit Bansal |
| 2025 | ICLR | Anyprefer: An Agentic Framework for Preference Data Synthesis. | 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 |
| 2025 | ICMI | A Multimodal Classroom Video Question-Answering Framework for Automated Understanding of Collaborative Learning. | 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 |
| 2025 | ICML | Self-Consistency Preference Optimization. | Archiki Prasad, Weizhe Yuan, Richard Yuanzhe Pang, Jing Xu, Maryam Fazel-Zarandi, Mohit Bansal, Sainbayar Sukhbaatar, Jason E. Weston, Jane Yu |
| 2025 | NAACL | Reverse Thinking Makes LLMs Stronger Reasoners. | 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 |
| 2025 | NAACL | Teaching Models to Balance Resisting and Accepting Persuasion. | Elias Stengel-Eskin, Peter Hase, Mohit Bansal |
| 2025 | NAACL | MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration. | David Wan, Justin Chih-Yao Chen, Elias Stengel-Eskin, Mohit Bansal |
| 2025 | NAACL | AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge. | Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal |
| 2025 | NAACL | On Positional Bias of Faithfulness for Long-form Summarization. | David Wan, Jesse Vig, Mohit Bansal, Shafiq Joty |
| 2025 | WACV | Dam: Dynamic Adapter Merging for Continual Video QA Learning. | Feng Cheng, Ziyang Wang, Yi-Lin Sung, Yan-Bo Lin, Mohit Bansal, Gedas Bertasius |
| 2025 | WACV | Improving Faithfulness of Text-to-Image Diffusion Models through Inference Intervention. | Danfeng Guo, Sanchit Agarwal, Yu-Hsiang Lin, Jiun-Yu Kao, Tagyoung Chung, Nanyun Peng, Mohit Bansal |
| 2024 | AAAI | VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation. | Jialu Li, Aishwarya Padmakumar, Gaurav S. Sukhatme, Mohit Bansal |
| 2024 | ACL | ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs. | Justin Chih-Yao Chen, Swarnadeep Saha, Mohit Bansal |
| 2024 | ACL | The Power of Summary-Source Alignments. | Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan |
| 2024 | ACL | The Unreasonable Effectiveness of Easy Training Data for Hard Tasks. | Peter Hase, Mohit Bansal, Peter Clark, Sarah Wiegreffe |
| 2024 | ACL | Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings. | Yichen Jiang, Xiang Zhou, Mohit Bansal |
| 2024 | ACL | Evaluating Very Long-Term Conversational Memory of LLM Agents. | Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang |
| 2024 | ACL | REFINESUMM: Self-Refining MLLM for Generating a Multimodal Summarization Dataset. | Vaidehi Patil, Leonardo F. R. Ribeiro, Mengwen Liu, Mohit Bansal, Markus Dreyer |
| 2024 | ACL | Soft Self-Consistency Improves Language Models Agents. | Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal |
| 2024 | ACL | Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences. | 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 |
| 2024 | ACL | ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization. | David Wan, Koustuv Sinha, Srini Iyer, Asli Celikyilmaz, Mohit Bansal, Ramakanth Pasunuru |
| 2024 | CVPR | Diagnostic Benchmark and Iterative Inpainting for Layout-Guided Image Generation. | Jaemin Cho, Linjie Li, Zhengyuan Yang, Zhe Gan, Lijuan Wang, Mohit Bansal |
| 2024 | CVPR | Multimodal Representation Learning by Alternating Unimodal Adaptation. | Xiaohui Zhang, Jaehong Yoon, Mohit Bansal, Huaxiu Yao |
| 2024 | CVPR | Rethinking Interactive Image Segmentation with Low Latency, High Quality, and Diverse Prompts. | Qin Liu, Jaemin Cho, Mohit Bansal, Marc Niethammer |
| 2024 | CVPR | CoDi-2: In-Context, Interleaved, and Interactive Any-to-Any Generation. | Zineng Tang, Ziyi Yang, Mahmoud Khademi, Yang Liu, Chenguang Zhu, Mohit Bansal |
| 2024 | EACL | Hierarchical and Dynamic Prompt Compression for Efficient Zero-shot API Usage. | Yichen Jiang, Marco Del Vecchio, Mohit Bansal, Anders Johannsen |
| 2024 | EACL | Unified Embeddings for Multimodal Retrieval via Frozen LLMs. | Ziyang Wang, Heba Elfardy, Markus Dreyer, Kevin Small, Mohit Bansal |
| 2024 | ECCV | Contrastive Region Guidance: Improving Grounding in Vision-Language Models Without Training. | David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal |
| 2024 | EMNLP | A Simple LLM Framework for Long-Range Video Question-Answering. | Ce Zhang, Taixi Lu, Md Mohaiminul Islam, Ziyang Wang, Shoubin Yu, Mohit Bansal, Gedas Bertasius |
| 2024 | EMNLP | Explaining and Improving Contrastive Decoding by Extrapolating the Probabilities of a Huge and Hypothetical LM. | Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung |
| 2024 | EMNLP | LLM Self-Correction with DeCRIM: Decompose, Critique, and Refine for Enhanced Following of Instructions with Multiple Constraints. | Thomas Palmeira Ferraz, Kartik Mehta, Yu-Hsiang Lin, Haw-Shiuan Chang, Shereen Oraby, Sijia Liu, Vivek Subramanian, Tagyoung Chung, Mohit Bansal, Nanyun Peng |
| 2024 | EMNLP | Knowledge-Aware Reasoning over Multimodal Semi-structured Tables. | Suyash Vardhan Mathur, Jainit Sushil Bafna, Kunal Kartik, Harshita Khandelwal, Manish Shrivastava, Vivek Gupta, Mohit Bansal, Dan Roth |
| 2024 | ICLR | Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation. | Jaemin Cho, Yushi Hu, Jason M. Baldridge, Roopal Garg, Peter Anderson, Ranjay Krishna, Mohit Bansal, Jordi Pont-Tuset, Su Wang |
| 2024 | ICLR | Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy. | Pingzhi Li, Zhenyu Zhang, Prateek Yadav, Yi-Lin Sung, Yu Cheng, Mohit Bansal, Tianlong Chen |
| 2024 | ICLR | D2 Pruning: Message Passing for Balancing Diversity & Difficulty in Data Pruning. | Adyasha Maharana, Prateek Yadav, Mohit Bansal |
| 2024 | ICLR | Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks. | Vaidehi Patil, Peter Hase, Mohit Bansal |
| 2024 | ICLR | Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models. | Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal |
| 2024 | ICLR | ECoFLaP: Efficient Coarse-to-Fine Layer-Wise Pruning for Vision-Language Models. | Yi-Lin Sung, Jaehong Yoon, Mohit Bansal |
| 2024 | ICLR | Analyzing and Mitigating Object Hallucination in Large Vision-Language Models. | Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao |
| 2024 | ICML | MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models. | Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | 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 |
| 2024 | ICML | ReGAL: Refactoring Programs to Discover Generalizable Abstractions. | Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal |
| 2024 | NAACL | Prompting Vision-Language Models For Aspect-Controlled Generation of Referring Expressions. | Danfeng Guo, Sanchit Agarwal, Arpit Gupta, Jiun-Yu Kao, Emre Barut, Tagyoung Chung, Jing Huang, Mohit Bansal |
| 2024 | NAACL | ADaPT: As-Needed Decomposition and Planning with Language Models. | Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, Tushar Khot |
| 2024 | NAACL | Branch-Solve-Merge Improves Large Language Model Evaluation and Generation. | Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, Mohit Bansal, Jason Weston, Xian Li |
| 2023 | ACL | Revealing Single Frame Bias for Video-and-Language Learning. | Jie Lei, Tamara L. Berg, Mohit Bansal |
| 2023 | ACL | MeetingQA: Extractive Question-Answering on Meeting Transcripts. | Archiki Prasad, Trung Bui, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Mohit Bansal |
| 2023 | ACL | MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation. | Swarnadeep Saha, Xinyan Yu, Mohit Bansal, Ramakanth Pasunuru, Asli Celikyilmaz |
| 2023 | ACL | Evaluating the Factual Consistency of Large Language Models Through News Summarization. | Derek Tam, Anisha Mascarenhas, Shiyue Zhang, Sarah Kwan, Mohit Bansal, Colin Raffel |
| 2023 | ACL | Exclusive Supermask Subnetwork Training for Continual Learning. | Prateek Yadav, Mohit Bansal |
| 2023 | ACL | Exploring Continual Learning for Code Generation Models. | 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 |
| 2023 | ACL | Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization. | Shiyue Zhang, David Wan, Mohit Bansal |
| 2023 | ACL | MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. | Shiyue Zhang, Shijie Wu, Ozan Irsoy, Steven Lu, Mohit Bansal, Mark Dredze, David S. Rosenberg |
| 2023 | ACL | Non-Sequential Graph Script Induction via Multimedia Grounding. | Yu Zhou, Sha Li, Manling Li, Xudong Lin, Shih-Fu Chang, Mohit Bansal, Heng Ji |
| 2023 | CVPR | VindLU: A Recipe for Effective Video-and-Language Pretraining. | Feng Cheng, Xizi Wang, Jie Lei, David J. Crandall, Mohit Bansal, Gedas Bertasius |
| 2023 | CVPR | Improving Vision-and-Language Navigation by Generating Future-View Image Semantics. | Jialu Li, Mohit Bansal |
| 2023 | CVPR | Vision Transformers are Parameter-Efficient Audio-Visual Learners. | Yan-Bo Lin, Yi-Lin Sung, Jie Lei, Mohit Bansal, Gedas Bertasius |
| 2023 | CVPR | Unifying Vision, Text, and Layout for Universal Document Processing. | Zineng Tang, Ziyi Yang, Guoxin Wang, Yuwei Fang, Yang Liu, Chenguang Zhu, Michael Zeng, Cha Zhang, Mohit Bansal |
| 2023 | CVPR | Hierarchical Video-Moment Retrieval and Step-Captioning. | Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal |
| 2023 | EACL | Social Commonsense for Explanation and Cultural Bias Discovery. | Lisa Bauer, Hanna Tischer, Mohit Bansal |
| 2023 | EACL | DeepMaven: Deep Question Answering on Long-Distance Movie/TV Show Videos with Multimedia Knowledge Extraction and Synthesis. | Yi Fung, Han Wang, Tong Wang, Ali Kebarighotbi, Mohit Bansal, Heng Ji, Prem Natarajan |
| 2023 | EACL | Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models. | Peter Hase, Mona T. Diab, Asli Celikyilmaz, Xian Li, Zornitsa Kozareva, Veselin Stoyanov, Mohit Bansal, Srinivasan Iyer |
| 2023 | EACL | GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models. | Archiki Prasad, Peter Hase, Xiang Zhou, Mohit Bansal |
| 2023 | EACL | Faithfulness-Aware Decoding Strategies for Abstractive Summarization. | David Wan, Mengwen Liu, Kathleen R. McKeown, Markus Dreyer, Mohit Bansal |
| 2023 | EACL | Enhancing Multi-Document Summarization with Cross-Document Graph-based Information Extraction. | Zixuan Zhang, Heba Elfardy, Markus Dreyer, Kevin Small, Heng Ji, Mohit Bansal |
| 2023 | EMNLP | Debiasing Multimodal Models via Causal Information Minimization. | Vaidehi Patil, Adyasha Maharana, Mohit Bansal |
| 2023 | EMNLP | ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness. | Archiki Prasad, Swarnadeep Saha, Xiang Zhou, Mohit Bansal |
| 2023 | EMNLP | Generating Summaries with Controllable Readability Levels. | Leonardo F. R. Ribeiro, Mohit Bansal, Markus Dreyer |
| 2023 | EMNLP | An Empirical Study of Multimodal Model Merging. | Yi-Lin Sung, Linjie Li, Kevin Lin, Zhe Gan, Mohit Bansal, Lijuan Wang |
| 2023 | EMNLP | HistAlign: Improving Context Dependency in Language Generation by Aligning with History. | David Wan, Shiyue Zhang, Mohit Bansal |
| 2023 | EMNLP | Data Factors for Better Compositional Generalization. | Xiang Zhou, Yichen Jiang, Mohit Bansal |
| 2023 | ICCV | DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models. | Jaemin Cho, Abhay Zala, Mohit Bansal |
| 2023 | ICCV | Scaling Data Generation in Vision-and-Language Navigation. | Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao |
| 2023 | ICCV | Unified Coarse-to-Fine Alignment for Video-Text Retrieval. | Ziyang Wang, Yi-Lin Sung, Feng Cheng, Gedas Bertasius, Mohit Bansal |
| 2023 | ICLR | Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees. | Swarnadeep Saha, Shiyue Zhang, Peter Hase, Mohit Bansal |
| 2023 | IJCAI | On Conditional and Compositional Language Model Differentiable Prompting. | Jonathan Pilault, Can Liu, Mohit Bansal, Markus Dreyer |
| 2023 | WACV | PERCEIVER-VL: Efficient Vision-and-Language Modeling with Iterative Latent Attention. | Zineng Tang, Jaemin Cho, Jie Lei, Mohit Bansal |
| 2022 | AAAI | CAISE: Conversational Agent for Image Search and Editing. | Hyounghun Kim, Doo Soon Kim, Seunghyun Yoon, Franck Dernoncourt, Trung Bui, Mohit Bansal |
| 2022 | AAAI | MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding. | Revanth Gangi Reddy, Xilin Rui, Manling Li, Xudong Lin, Haoyang Wen, Jaemin Cho, Lifu Huang, Mohit Bansal, Avirup Sil, Shih-Fu Chang, Alexander G. Schwing, Heng Ji |
| 2022 | AAAI | Scientific Chart Summarization: Datasets and Improved Text Modeling. | Hao Tan, Chen-Tse Tsai, Yujie He, Mohit Bansal |
| 2022 | ACL | Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning. | Swarnadeep Saha, Prateek Yadav, Mohit Bansal |
| 2022 | ACL | How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language. | Shiyue Zhang, Benjamin Frey, Mohit Bansal |
| 2022 | ACL | Distributed NLI: Learning to Predict Human Opinion Distributions for Language Reasoning. | Xiang Zhou, Yixin Nie, Mohit Bansal |
| 2022 | AMTA | How Robust is Neural Machine Translation to Language Imbalance in Multilingual Tokenizer Training? | Shiyue Zhang, Vishrav Chaudhary, Naman Goyal, James Cross, Guillaume Wenzek, Mohit Bansal, Francisco Guzmn |
| 2022 | COLING | GRAVL-BERT: Graphical Visual-Linguistic Representations for Multimodal Coreference Resolution. | Danfeng Guo, Arpit Gupta, Sanchit Agarwal, Jiun-Yu Kao, Shuyang Gao, Arijit Biswas, Chien-Wei Lin, Tagyoung Chung, Mohit Bansal |
| 2022 | COLING | GraDA: Graph Generative Data Augmentation for Commonsense Reasoning. | Adyasha Maharana, Mohit Bansal |
| 2022 | CVPR | Envedit: Environment Editing for Vision-and-Language Navigation. | Jialu Li, Hao Tan, Mohit Bansal |
| 2022 | CVPR | VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. | Yi-Lin Sung, Jaemin Cho, Mohit Bansal |
| 2022 | ECCV | EclipSE: Efficient Long-Range Video Retrieval Using Sight and Sound. | Yan-Bo Lin, Jie Lei, Mohit Bansal, Gedas Bertasius |
| 2022 | ECCV | StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation. | Adyasha Maharana, Darryl Hannan, Mohit Bansal |
| 2022 | EMNLP | ALFRED-L: Investigating the Role of Language for Action Learning in Interactive Visual Environments. | Arjun R. Akula, Spandana Gella, Aishwarya Padmakumar, Mahdi Namazifar, Mohit Bansal, Jesse Thomason, Dilek Hakkani-Tur |
| 2022 | EMNLP | Analyzing the Limits of Self-Supervision in Handling Bias in Language. | Lisa Bauer, Karthik Gopalakrishnan, Spandana Gella, Yang Liu, Mohit Bansal, Dilek Hakkani-Tur |
| 2022 | EMNLP | Mutual Exclusivity Training and Primitive Augmentation to Induce Compositionality. | Yichen Jiang, Xiang Zhou, Mohit Bansal |
| 2022 | EMNLP | Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations. | Swarnadeep Saha, Peter Hase, Nazneen Rajani, Mohit Bansal |
| 2022 | EMNLP | Evaluating and Improving Factuality in Multimodal Abstractive Summarization. | David Wan, Mohit Bansal |
| 2022 | ICLR | How Much Can CLIP Benefit Vision-and-Language Tasks? | Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer |
| 2022 | NAACL | Fine-grained Image Captioning with CLIP Reward. | Jaemin Cho, Seunghyun Yoon, Ajinkya Kale, Franck Dernoncourt, Trung Bui, Mohit Bansal |
| 2022 | NAACL | Efficient Few-Shot Fine-Tuning for Opinion Summarization. | Arthur Brazinskas, Ramesh Nallapati, Mohit Bansal, Markus Dreyer |
| 2022 | NAACL | Proposition-Level Clustering for Multi-Document Summarization. | Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan |
| 2022 | NAACL | CoSIm: Commonsense Reasoning for Counterfactual Scene Imagination. | Hyounghun Kim, Abhay Zala, Mohit Bansal |
| 2022 | NAACL | Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs. | Sha Li, Mahdi Namazifar, Di Jin, Mohit Bansal, Heng Ji, Yang Liu, Dilek Hakkani-Tur |
| 2022 | NAACL | CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations. | Jialu Li, Hao Tan, Mohit Bansal |
| 2022 | NAACL | On Curriculum Learning for Commonsense Reasoning. | Adyasha Maharana, Mohit Bansal |
| 2022 | NAACL | Multimodal Intent Discovery from Livestream Videos. | Adyasha Maharana, Quan Hung Tran, Franck Dernoncourt, Seunghyun Yoon, Trung Bui, Walter Chang, Mohit Bansal |
| 2022 | NAACL | FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations. | Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, Mohit Bansal |
| 2022 | NAACL | Interactive Query-Assisted Summarization via Deep Reinforcement Learning. | Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Ido Dagan, Yael Amsterdamer |
| 2022 | NAACL | FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization. | David Wan, Mohit Bansal |
| 2022 | NAACL | Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging? | Xiang Zhou, Shiyue Zhang, Mohit Bansal |
| 2021 | AAAI | FIXMYPOSE: Pose Correctional Captioning and Retrieval. | Hyounghun Kim, Abhay Zala, Graham Burri, Mohit Bansal |
| 2021 | AAAI | Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. | Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao |
| 2021 | AAAI | Dual Reinforcement-Based Specification Generation for Image De-Rendering. | Ramakanth Pasunuru, David S. Rosenberg, Gideon Mann, Mohit Bansal |
| 2021 | ACL | Analysis of Tree-Structured Architectures for Code Generation. | Samip Dahal, Adyasha Maharana, Mohit Bansal |
| 2021 | ACL | InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection. | Yi R. Fung, Christopher Thomas, Revanth Gangi Reddy, Sandeep Polisetty, Heng Ji, Shih-Fu Chang, Kathleen R. McKeown, Mohit Bansal, Avi Sil |
| 2021 | ACL | mTVR: Multilingual Moment Retrieval in Videos. | Jie Lei, Tamara L. Berg, Mohit Bansal |
| 2021 | ACL | I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling. | Yixin Nie, Mary Williamson, Mohit Bansal, Douwe Kiela, Jason Weston |
| 2021 | ACL | Continuous Language Generative Flow. | Zineng Tang, Shiyue Zhang, Hyounghun Kim, Mohit Bansal |
| 2021 | ACL | EmailSum: Abstractive Email Thread Summarization. | Shiyue Zhang, Asli Celikyilmaz, Jianfeng Gao, Mohit Bansal |
| 2021 | ACL | ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback. | Shiyue Zhang, Benjamin Frey, Mohit Bansal |
| 2021 | CoNLL | Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline. | Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan |
| 2021 | CVPR | Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling. | Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu |
| 2021 | EACL | Identify, Align, and Integrate: Matching Knowledge Graphs to Commonsense Reasoning Tasks. | Lisa Bauer, Mohit Bansal |
| 2021 | EACL | Hidden Biases in Unreliable News Detection Datasets. | Xiang Zhou, Heba Elfardy, Christos Christodoulopoulos, Thomas Butler, Mohit Bansal |
| 2021 | EMNLP | FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. | Han Guo, Nazneen Rajani, Peter Hase, Mohit Bansal, Caiming Xiong |
| 2021 | EMNLP | iFacetSum: Coreference-based Interactive Faceted Summarization for Multi-Document Exploration. | Eran Hirsch, Alon Eirew, Ori Shapira, Avi Caciularu, Arie Cattan, Ori Ernst, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Ido Dagan |
| 2021 | EMNLP | Inducing Transformer's Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks. | Yichen Jiang, Mohit Bansal |
| 2021 | EMNLP | Learning and Analyzing Generation Order for Undirected Sequence Models. | Yichen Jiang, Mohit Bansal |
| 2021 | EMNLP | NDH-Full: Learning and Evaluating Navigational Agents on Full-Length Dialogue. | Hyounghun Kim, Jialu Li, Mohit Bansal |
| 2021 | EMNLP | Integrating Visuospatial, Linguistic, and Commonsense Structure into Story Visualization. | Adyasha Maharana, Mohit Bansal |
| 2021 | EMNLP | Continual Few-Shot Learning for Text Classification. | Ramakanth Pasunuru, Veselin Stoyanov, Mohit Bansal |
| 2021 | EMNLP | ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning. | Swarnadeep Saha, Prateek Yadav, Lisa Bauer, Mohit Bansal |
| 2021 | EMNLP | Improving and Simplifying Pattern Exploiting Training. | Derek Tam, Rakesh R. Menon, Mohit Bansal, Shashank Srivastava, Colin Raffel |
| 2021 | EMNLP | Finding a Balanced Degree of Automation for Summary Evaluation. | Shiyue Zhang, Mohit Bansal |
| 2021 | ICML | Unifying Vision-and-Language Tasks via Text Generation. | Jaemin Cho, Jie Lei, Hao Tan, Mohit Bansal |
| 2021 | NAACL | Robustness Gym: Unifying the NLP Evaluation Landscape. | Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Zachary Taschdjian, Mohit Bansal, Christopher R |
| 2021 | NAACL | Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. | Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao |
| 2021 | NAACL | Dynabench: Rethinking Benchmarking in NLP. | Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams |
| 2021 | NAACL | Improving Cross-Modal Alignment in Vision Language Navigation via Syntactic Information. | Jialu Li, Hao Tan, Mohit Bansal |
| 2021 | NAACL | Improving Generation and Evaluation of Visual Stories via Semantic Consistency. | Adyasha Maharana, Darryl Hannan, Mohit Bansal |
| 2021 | NAACL | Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters. | Ramakanth Pasunuru, Mengwen Liu, Mohit Bansal, Sujith Ravi, Markus Dreyer |
| 2021 | NAACL | multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning. | Swarnadeep Saha, Prateek Yadav, Mohit Bansal |
| 2021 | NAACL | Extending Multi-Document Summarization Evaluation to the Interactive Setting. | Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, Ido Dagan |
| 2021 | NAACL | DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization. | Zineng Tang, Jie Lei, Mohit Bansal |
| 2020 | AAAI | Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits. | Han Guo, Ramakanth Pasunuru, Mohit Bansal |
| 2020 | AAAI | ManyModalQA: Modality Disambiguation and QA over Diverse Inputs. | Darryl Hannan, Akshay Jain, Mohit Bansal |
| 2020 | AAAI | Modality-Balanced Models for Visual Dialogue. | Hyounghun Kim, Hao Tan, Mohit Bansal |
| 2020 | AAAI | AvgOut: A Simple Output-Probability Measure to Eliminate Dull Responses. | Tong Niu, Mohit Bansal |
| 2020 | ACL | Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior? | Peter Hase, Mohit Bansal |
| 2020 | ACL | Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA. | Hyounghun Kim, Zineng Tang, Mohit Bansal |
| 2020 | ACL | MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning. | Jie Lei, Liwei Wang, Yelong Shen, Dong Yu, Tamara L. Berg, Mohit Bansal |
| 2020 | ACL | TVQA+: Spatio-Temporal Grounding for Video Question Answering. | Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal |
| 2020 | ACL | Adversarial NLI: A New Benchmark for Natural Language Understanding. | Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, Douwe Kiela |
| 2020 | ACL | Towards Robustifying NLI Models Against Lexical Dataset Biases. | Xiang Zhou, Mohit Bansal |
| 2020 | ECCV | TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval. | Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal |
| 2020 | EMNLP | Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language? | Peter Hase, Shiyue Zhang, Harry Xie, Mohit Bansal |
| 2020 | EMNLP | HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification. | Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Kumar Singh, Mohit Bansal |
| 2020 | EMNLP | ArraMon: A Joint Navigation-Assembly Instruction Interpretation Task in Dynamic Environments. | Hyounghun Kim, Abhaysinh Zala, Graham Burri, Hao Tan, Mohit Bansal |
| 2020 | EMNLP | What is More Likely to Happen Next? Video-and-Language Future Event Prediction. | Jie Lei, Licheng Yu, Tamara L. Berg, Mohit Bansal |
| 2020 | EMNLP | Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension. | Adyasha Maharana, Mohit Bansal |
| 2020 | EMNLP | What Can We Learn from Collective Human Opinions on Natural Language Inference Data? | Yixin Nie, Xiang Zhou, Mohit Bansal |
| 2020 | EMNLP | FENAS: Flexible and Expressive Neural Architecture Search. | Ramakanth Pasunuru, Mohit Bansal |
| 2020 | EMNLP | DORB: Dynamically Optimizing Multiple Rewards with Bandits. | Ramakanth Pasunuru, Han Guo, Mohit Bansal |
| 2020 | EMNLP | PRover: Proof Generation for Interpretable Reasoning over Rules. | Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, Mohit Bansal |
| 2020 | EMNLP | ConjNLI: Natural Language Inference Over Conjunctive Sentences. | Swarnadeep Saha, Yixin Nie, Mohit Bansal |
| 2020 | EMNLP | Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision. | Hao Tan, Mohit Bansal |
| 2020 | EMNLP | ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization. | Shiyue Zhang, Benjamin Frey, Mohit Bansal |
| 2020 | EMNLP | The Curse of Performance Instability in Analysis Datasets: Consequences, Source, and Suggestions. | Xiang Zhou, Yixin Nie, Hao Tan, Mohit Bansal |
| 2020 | IJCAI | Diagnosing the Environment Bias in Vision-and-Language Navigation. | Yubo Zhang, Hao Tan, Mohit Bansal |
| 2020 | ICRA | Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning. | Haonan Chen, Hao Tan, Alan Kuntz, Mohit Bansal, Ron Alterovitz |
| 2019 | AAAI | Combining Fact Extraction and Verification with Neural Semantic Matching Networks. | Yixin Nie, Haonan Chen, Mohit Bansal |
| 2019 | AAAI | Analyzing Compositionality-Sensitivity of NLI Models. | Yixin Nie, Yicheng Wang, Mohit Bansal |
| 2019 | ACL | Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA. | Yichen Jiang, Mohit Bansal |
| 2019 | ACL | Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension. | Yichen Jiang, Nitish Joshi, Yen-Chun Chen, Mohit Bansal |
| 2019 | ACL | Improving Visual Question Answering by Referring to Generated Paragraph Captions. | Hyounghun Kim, Mohit Bansal |
| 2019 | ACL | Continual and Multi-Task Architecture Search. | Ramakanth Pasunuru, Mohit Bansal |
| 2019 | ACL | Expressing Visual Relationships via Language. | Hao Tan, Franck Dernoncourt, Zhe Lin, Trung Bui, Mohit Bansal |
| 2019 | ACL | PaperRobot: Incremental Draft Generation of Scientific Ideas. | Qingyun Wang, Lifu Huang, Zhiying Jiang, Kevin Knight, Heng Ji, Mohit Bansal, Yi Luan |
| 2019 | CVPR | Multi-Target Embodied Question Answering. | Licheng Yu, Xinlei Chen, Georgia Gkioxari, Mohit Bansal, Tamara L. Berg, Dhruv Batra |
| 2019 | EMNLP | Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning. | Yichen Jiang, Mohit Bansal |
| 2019 | EMNLP | Revealing the Importance of Semantic Retrieval for Machine Reading at Scale. | Yixin Nie, Songhe Wang, Mohit Bansal |
| 2019 | EMNLP | Automatically Learning Data Augmentation Policies for Dialogue Tasks. | Tong Niu, Mohit Bansal |
| 2019 | EMNLP | LXMERT: Learning Cross-Modality Encoder Representations from Transformers. | Hao Tan, Mohit Bansal |
| 2019 | EMNLP | Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering. | Shiyue Zhang, Mohit Bansal |
| 2019 | ICRA | Efficient Generation of Motion Plans from Attribute-Based Natural Language Instructions Using Dynamic Constraint Mapping. | Jae Sung Park, Biao Jia, Mohit Bansal, Dinesh Manocha |
| 2019 | NAACL | AutoSeM: Automatic Task Selection and Mixing in Multi-Task Learning. | Han Guo, Ramakanth Pasunuru, Mohit Bansal |
| 2019 | NAACL | Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation. | Ori Shapira, David Gabay, Yang Gao, Hadar Ronen, Ramakanth Pasunuru, Mohit Bansal, Yael Amsterdamer, Ido Dagan |
| 2019 | NAACL | Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout. | Hao Tan, Licheng Yu, Mohit Bansal |
| 2018 | AAAI | Source-Target Inference Models for Spatial Instruction Understanding. | Hao Tan, Mohit Bansal |
| 2018 | ACL | Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. | Yen-Chun Chen, Mohit Bansal |
| 2018 | ACL | Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation. | Han Guo, Ramakanth Pasunuru, Mohit Bansal |
| 2018 | COLING | Dynamic Multi-Level Multi-Task Learning for Sentence Simplification. | Han Guo, Ramakanth Pasunuru, Mohit Bansal |
| 2018 | CoNLL | Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models. | Tong Niu, Mohit Bansal |
| 2018 | CVPR | MAttNet: Modular Attention Network for Referring Expression Comprehension. | Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg |
| 2018 | EMNLP | Commonsense for Generative Multi-Hop Question Answering Tasks. | Lisa Bauer, Yicheng Wang, Mohit Bansal |
| 2018 | EMNLP | Closed-Book Training to Improve Summarization Encoder Memory. | Yichen Jiang, Mohit Bansal |
| 2018 | EMNLP | SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories. | Sweta Karlekar, Mohit Bansal |
| 2018 | EMNLP | TVQA: Localized, Compositional Video Question Answering. | Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg |
| 2018 | EMNLP | Game-Based Video-Context Dialogue. | Ramakanth Pasunuru, Mohit Bansal |
| 2018 | EMNLP | Incorporating Background Knowledge into Video Description Generation. | Spencer Whitehead, Heng Ji, Mohit Bansal, Shih-Fu Chang, Clare R. Voss |
| 2018 | NAACL | Punny Captions: Witty Wordplay in Image Descriptions. | Arjun Chandrasekaran, Devi Parikh, Mohit Bansal |
| 2018 | NAACL | Detecting Linguistic Characteristics of Alzheimer's Dementia by Interpreting Neural Models. | Sweta Karlekar, Tong Niu, Mohit Bansal |
| 2018 | NAACL | Multi-Reward Reinforced Summarization with Saliency and Entailment. | Ramakanth Pasunuru, Mohit Bansal |
| 2018 | NAACL | Object Ordering with Bidirectional Matchings for Visual Reasoning. | Hao Tan, Mohit Bansal |
| 2018 | NAACL | Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information. | Trang Tran, Shubham Toshniwal, Mohit Bansal, Kevin Gimpel, Karen Livescu, Mari Ostendorf |
| 2018 | NAACL | Robust Machine Comprehension Models via Adversarial Training. | Yicheng Wang, Mohit Bansal |
| 2018 | WACV | Retweet Wars: Tweet Popularity Prediction via Dynamic Multimodal Regression. | Ke Wang, Mohit Bansal, Jan-Michael Frahm |
| 2017 | AAAI | Contextual RNN-GANs for Abstract Reasoning Diagram Generation. | Viveka Kulharia, Arnab Ghosh, Amitabha Mukerjee, Vinay P. Namboodiri, Mohit Bansal |
| 2017 | AAAI | Coherent Dialogue with Attention-Based Language Models. | Hongyuan Mei, Mohit Bansal, Matthew R. Walter |
| 2017 | ACL | Multi-Task Video Captioning with Video and Entailment Generation. | Ramakanth Pasunuru, Mohit Bansal |
| 2017 | CVPR | A Joint Speaker-Listener-Reinforcer Model for Referring Expressions. | Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg |
| 2017 | EMNLP | Video Highlight Prediction Using Audience Chat Reactions. | Cheng-Yang Fu, Joon Lee, Mohit Bansal, Alexander C. Berg |
| 2017 | EMNLP | Reinforced Video Captioning with Entailment Rewards. | Ramakanth Pasunuru, Mohit Bansal |
| 2017 | EMNLP | Towards Improving Abstractive Summarization via Entailment Generation. | Ramakanth Pasunuru, Han Guo, Mohit Bansal |
| 2017 | EMNLP | Hierarchically-Attentive RNN for Album Summarization and Storytelling. | Licheng Yu, Mohit Bansal, Tamara L. Berg |
| 2017 | HRI | Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation. | Andrea F. Daniele, Mohit Bansal, Matthew R. Walter |
| 2016 | AAAI | Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences. | Hongyuan Mei, Mohit Bansal, Matthew R. Walter |
| 2016 | ACL | End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures. | Makoto Miwa, Mohit Bansal |
| 2016 | CVPR | We are Humor Beings: Understanding and Predicting Visual Humor. | Arjun Chandrasekaran, Ashwin K. Vijayakumar, Stanislaw Antol, Mohit Bansal, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh |
| 2016 | EMNLP | Sort Story: Sorting Jumbled Images and Captions into Stories. | Harsh Agrawal, Arjun Chandrasekaran, Dhruv Batra, Devi Parikh, Mohit Bansal |
| 2016 | EMNLP | Interpreting Neural Networks to Improve Politeness Comprehension. | Malika Aubakirova, Mohit Bansal |
| 2016 | EMNLP | Who did What: A Large-Scale Person-Centered Cloze Dataset. | Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester |
| 2016 | EMNLP | Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions. | Arijit Ray, Gordon A. Christie, Mohit Bansal, Dhruv Batra, Devi Parikh |
| 2016 | EMNLP | Charagram: Embedding Words and Sentences via Character n-grams. | John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu |
| 2016 | NAACL | What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment. | Hongyuan Mei, Mohit Bansal, Matthew R. Walter |
| 2016 | NAACL | The Role of Context Types and Dimensionality in Learning Word Embeddings. | Oren Melamud, David McClosky, Siddharth Patwardhan, Mohit Bansal |
| 2015 | ACL | Machine Comprehension with Syntax, Frames, and Semantics. | Hai Wang, Mohit Bansal, Kevin Gimpel, David A. McAllester |
| 2015 | NAACL | Dependency Link Embeddings: Continuous Representations of Syntactic Substructures. | Mohit Bansal |
| 2015 | NAACL | Deep Multilingual Correlation for Improved Word Embeddings. | Ang Lu, Weiran Wang, Mohit Bansal, Kevin Gimpel, Karen Livescu |
| 2014 | ACL | Structured Learning for Taxonomy Induction with Belief Propagation. | Mohit Bansal, David Burkett, Gerard de Melo, Dan Klein |
| 2014 | ACL | Tailoring Continuous Word Representations for Dependency Parsing. | Mohit Bansal, Kevin Gimpel, Karen Livescu |
| 2014 | CVPR | What Are You Talking About? Text-to-Image Coreference. | Chen Kong, Dahua Lin, Mohit Bansal, Raquel Urtasun, Sanja Fidler |
| 2014 | EMNLP | Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation. | Kevin Gimpel, Mohit Bansal |
| 2012 | ACL | Coreference Semantics from Web Features. | Mohit Bansal, Dan Klein |
| 2012 | NAACL | Unsupervised Translation Sense Clustering. | Mohit Bansal, John DeNero, Dekang Lin |
| 2011 | ACL | Web-Scale Features for Full-Scale Parsing. | Mohit Bansal, Dan Klein |
| 2011 | ACL | The Surprising Variance in Shortest-Derivation Parsing. | Mohit Bansal, Dan Klein |
| 2011 | ACL | Gappy Phrasal Alignment By Agreement. | Mohit Bansal, Chris Quirk, Robert C. Moore |
| 2011 | CoNLL | Mention Detection: Heuristics for the OntoNotes annotations. | Jonathan K. Kummerfeld, Mohit Bansal, David Burkett, Dan Klein |
| 2010 | ACL | Simple, Accurate Parsing with an All-Fragments Grammar. | Mohit Bansal, Dan Klein |
| 2009 | NAACL | Efficient Parsing for Transducer Grammars. | John DeNero, Mohit Bansal, Adam Pauls, Dan Klein |
| 2008 | COLING | The Power of Negative Thinking: Exploiting Label Disagreement in the Min-cut Classification Framework. | Mohit Bansal, Claire Cardie, Lillian Lee |
| 2008 | FAW | Estimating Hybrid Frequency Moments of Data Streams. | Sumit Ganguly, Mohit Bansal, Shruti Dube |