Mohit Bansal — all works
- LXMERT: Learning Cross-Modality Encoder Representations from TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Tan, Mohit Bansal2019 · 2,789 citations
- End-to-End Relation Extraction using LSTMs on Sequences and Tree StructuresAnnual Meeting of the Association for Computational Linguistics (ACL)Makoto Miwa, Mohit Bansal2016 · 1,606 citations
- Adversarial NLI: A New Benchmark for Natural Language UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Nie, Adina Williams, Emily Dinan, et al.2020 · 1,296 citations
- MAttNet: Modular Attention Network for Referring Expression Comprehension ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLicheng Yu et al.2018 · 891 citations
- Fast Abstractive Summarization with Reinforce-Selected Sentence RewritingAnnual Meeting of the Association for Computational Linguistics (ACL)Yen-Chun Chen, Mohit Bansal2018 · 826 citations
- Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Haokun Liu, Derek Tam, Mohammed Muqeeth, et al.2022 · 754 citations
- TVQA: Localized, Compositional Video Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Jie Lei, Licheng Yu, Mohit Bansal, et al.2018 · 687 citations
- Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJie Lei et al.2021 · 663 citations
- Dynabench: Rethinking Benchmarking in NLP ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetDouwe Kiela et al.2021 · 482 citations
- Tailoring Continuous Word Representations for Dependency ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Mohit Bansal, Kevin Gimpel, Karen Livescu2014 · 419 citations
- Combining Fact Extraction and Verification with Neural Semantic Matching Networks ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYixin Nie, Haonan Chen, Mohit Bansal2019 · 417 citations
- From Paraphrase Database to Compositional Paraphrase Model and BackTransactions of the Association for Computational Linguistics (TACL)John Wieting, Mohit Bansal, Kevin Gimpel, et al.2015 · 379 citations
- VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYi-Lin Sung, Jaemin Cho, Mohit Bansal2022 · 369 citations
- Learning to Navigate Unseen Environments: Back Translation with Environmental DropoutConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hao Tan, Licheng Yu, Mohit Bansal2019 · 358 citations
- What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine AlignmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hongyuan Mei, Mohit Bansal, Matthew R. Walter2016 · 353 citations
- TIES-Merging: Resolving Interference When Merging ModelsConference on Neural Information Processing Systems (NeurIPS)Prateek Yadav, Derek Tam, Leshem Choshen, et al.2023 · 324 citations
- Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?Annual Meeting of the Association for Computational Linguistics (ACL)Peter Hase, Mohit Bansal2020 · 318 citations
- Unifying Vision-and-Language Tasks via Text Generation ↗arXiv (Cornell University) · no summary yetJaemin Cho et al.2021 · 317 citations
- TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval ↗Lecture notes in computer science · no summary yetJie Lei et al.2020 · 295 citations
- Towards Universal Paraphrastic Sentence EmbeddingsarXiv:1511.08198John Wieting, Mohit Bansal, Kevin Gimpel, et al.2015 · 276 citations
- A Joint Speaker-Listener-Reinforcer Model for Referring Expressions ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLicheng Yu et al.2017 · 269 citations
- Multi-Reward Reinforced Summarization with Saliency and EntailmentConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ramakanth Pasunuru, Mohit Bansal2018 · 255 citations
- An Empirical Survey of Data Augmentation for Limited Data Learning in NLPTransactions of the Association for Computational Linguistics (TACL)Jiaao Chen, Derek Tam, Colin Raffel, et al.2023 · 254 citations
- Polite Dialogue Generation Without Parallel Data ↗Transactions of the Association for Computational Linguistics · no summary yetTong Niu, Mohit Bansal2018 · 249 citations
- Charagram: Embedding Words and Sentences via Character n-gramsConference on Empirical Methods in Natural Language Processing (EMNLP)John Wieting, Mohit Bansal, Kevin Gimpel, et al.2016 · 242 citations
- DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetJaemin Cho, Abhay Zala, Mohit Bansal2023 · 237 citations
- TVQA+: Spatio-Temporal Grounding for Video Question Answering ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetJie Lei et al.2020 · 236 citations
- Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences ↗arXiv:1506.04089 · no summary yetHongyuan Mei, Mohit Bansal, Matthew R. Walter2015 · 232 citations
- Commonsense for Generative Multi-Hop Question Answering TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Lisa Bauer, Yicheng Wang, Mohit Bansal2018 · 229 citations
- HoVer: A Dataset for Many-Hop Fact Extraction And Claim VerificationFindings of the Association for Computational LinguisticsYichen Jiang, Shikha Bordia, Zheng Zhong, et al.2020 · 228 citations
- What Are You Talking About? Text-to-Image Coreference ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChen Kong et al.2014 · 227 citations
- How Much Can CLIP Benefit Vision-and-Language Tasks? ↗arXiv (Cornell University) · no summary yetSheng Shen et al.2021 · 220 citations
- Rethinking machine unlearning for large language models ↗Nature Machine Intelligence · no summary yetSijia Liu et al.2025 · 197 citations
- What Can We Learn from Collective Human Opinions on Natural Language Inference Data?Conference on Empirical Methods in Natural Language Processing (EMNLP)Yixin Nie, Xiang Zhou, Mohit Bansal2020 · 196 citations
- Revealing the Importance of Semantic Retrieval for Machine Reading at ScaleConference on Empirical Methods in Natural Language Processing (EMNLP)Yixin Nie, Songhe Wang, Mohit Bansal2019 · 190 citations
- Improving and Simplifying Pattern Exploiting TrainingConference on Empirical Methods in Natural Language Processing (EMNLP)Derek Tam, Rakesh R. Menon, Mohit Bansal, et al.2021 · 189 citations
- Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHan Guo, Ramakanth Pasunuru, Mohit Bansal2018 · 188 citations
- MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetJie Lei et al.2020 · 187 citations
- GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Archiki Prasad, Peter Hase, Xiang Zhou, et al.2023 · 184 citations
- Who did What: A Large-Scale Person-Centered Cloze DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Takeshi Onishi, Hai Wang, Mohit Bansal, et al.2016 · 176 citations
- Addressing Semantic Drift in Question Generation for Semi-Supervised Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Shiyue Zhang, Mohit Bansal2019 · 174 citations
- Deep Multilingual Correlation for Improved Word Embeddings ↗Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetAng Lu et al.2015 · 170 citations
- Shortcut-Stacked Sentence Encoders for Multi-Domain Inference ↗Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP · no summary yetYixin Nie, Mohit Bansal2017 · 169 citations
- Robustness Gym: Unifying the NLP Evaluation Landscape ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations · no summary yetKaran Goel et al.2021 · 165 citations
- Unifying Vision, Text, and Layout for Universal Document Processing ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZineng Tang et al.2023 · 162 citations
- ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Justin Chen, Swarnadeep Saha, Mohit Bansal2024 · 156 citations
- The Role of Context Types and Dimensionality in Learning Word EmbeddingsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Oren Melamud, David McClosky, Siddharth Patwardhan, et al.2016 · 144 citations
- Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QAAnnual Meeting of the Association for Computational Linguistics (ACL)Yichen Jiang, Mohit Bansal2019 · 143 citations
- Reinforced Video Captioning with Entailment Rewards ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetRamakanth Pasunuru, Mohit Bansal2017 · 139 citations
- Analyzing and Mitigating Object Hallucination in Large Vision-Language Models ↗arXiv:2310.00754 · no summary yetYiyang Zhou et al.2023 · 134 citations
- Detecting Linguistic Characteristics of Alzheimer's Dementia by Interpreting Neural Models ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yetSweta Karlekar, Tong Niu, Mohit Bansal2018 · 134 citations
- Robust Machine Comprehension Models via Adversarial Training ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers) · no summary yetYicheng Wang, Mohit Bansal2018 · 132 citations
- Multi-Task Video Captioning with Video and Entailment Generation ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetRamakanth Pasunuru, Mohit Bansal2017 · 132 citations
- Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?Findings of the Association for Computational LinguisticsPeter Hase, Shiyue Zhang, Harry Xie, et al.2020 · 126 citations
- Analyzing Compositionality-Sensitivity of NLI ModelsProceedings of the AAAI Conference on Artificial IntelligenceYixin Nie, Yicheng Wang, Mohit Bansal2018 · 121 citations
- Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetHao Tan, Mohit Bansal2020 · 120 citations
- Evaluating the Factual Consistency of Large Language Models Through News Summarization ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetDerek Tam et al.2023 · 118 citations
- Vision Transformers are Parameter-Efficient Audio-Visual Learners ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYan-Bo Lin et al.2023 · 117 citations
- Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHan Guo, Ramakanth Pasunuru, Mohit Bansal2020 · 115 citations
- Machine Comprehension with Syntax, Frames, and Semantics ↗Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers) · no summary yetHai Wang et al.2015 · 115 citations
- Coherent Dialogue with Attention-Based Language Models ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHongyuan Mei, Mohit Bansal, Matthew R. Walter2017 · 109 citations
- Multi-Target Embodied Question Answering ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLicheng Yu et al.2019 · 105 citations
- PRover: Proof Generation for Interpretable Reasoning over RulesConference on Empirical Methods in Natural Language Processing (EMNLP)Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, et al.2020 · 103 citations
- Revealing Single Frame Bias for Video-and-Language Learning ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJie Lei, Tamara Berg, Mohit Bansal2023 · 102 citations
- Envedit: Environment Editing for Vision-and-Language Navigation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJialu Li, Hao Xuan Tan, Mohit Bansal2022 · 102 citations
- I like fish, especially dolphins: Addressing Contradictions in Dialogue ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Nie, Mary Williamson, Mohit Bansal, et al.2021 · 101 citations
- Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetOri Shapira et al.2019 · 101 citations
- The Power of Negative Thinking: Exploiting Label Disagreement in the Min-cut Classification Framework ↗Coling 2008: Companion volume: Posters · no summary yetMohit Bansal, Claire Cardie, Lillian Lee2008 · 101 citations
- Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models ↗Proceedings of the 22nd Conference on Computational Natural Language Learning · no summary yetTong Niu, Mohit Bansal2018 · 98 citations
- A Simple LLM Framework for Long-Range Video Question-Answering ↗Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yetCe Zhang et al.2024 · 96 citations
- VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZiyang Wang et al.2025 · 91 citations
- Detecting Moments and Highlights in Videos via Natural Language Queries ↗neural information processing systems · no summary yetJie Lei, Tamara L. Berg, Mohit Bansal2021 · 91 citations
- Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetYichen Jiang, Mohit Bansal2019 · 90 citations
- ADaPT: As-Needed Decomposition and Planning with Language ModelsFindings of the Association for Computational LinguisticsArchiki Prasad, Alexander Koller, Mareike Hartmann, et al.2024 · 89 citations
- InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetYi Fung et al.2021 · 88 citations
- Interpreting Neural Networks to Improve Politeness ComprehensionConference on Empirical Methods in Natural Language Processing (EMNLP)Malika Aubakirova, Mohit Bansal2016 · 87 citations
- FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetHan Guo et al.2021 · 86 citations
- Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters ↗Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetRamakanth Pasunuru et al.2021 · 85 citations
- Unified Coarse-to-Fine Alignment for Video-Text Retrieval ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetZiyang Wang et al.2023 · 84 citations
- Structured Learning for Taxonomy Induction with Belief Propagation ↗Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetMohit Bansal et al.2014 · 84 citations
- FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations ↗Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetLeonardo F. R. Ribeiro et al.2022 · 82 citations
- When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data ↗Proceedings of the First Workshop on Learning with Natural Language Supervision · no summary yetPeter Hase, Mohit Bansal2022 · 80 citations
- StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation ↗Lecture notes in computer science · no summary yetAdyasha Maharana, Darryl Hannan, Mohit Bansal2022 · 80 citations
- VindLU: A Recipe for Effective Video-and-Language Pretraining ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetFeng Cheng et al.2023 · 79 citations
- Hierarchically-Attentive RNN for Album Summarization and Storytelling ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetLicheng Yu, Mohit Bansal, Tamara Berg2017 · 79 citations
- Scaling Data Generation in Vision-and-Language Navigation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetZun Wang et al.2023 · 78 citations
- Fine-grained Image Captioning with CLIP Reward ↗Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yetJaemin Cho et al.2022 · 77 citations
- ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetSwarnadeep Saha et al.2021 · 77 citations
- PaperRobot: Incremental Draft Generation of Scientific Ideas ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetQingyun Wang et al.2019 · 75 citations
- Sort Story: Sorting Jumbled Images and Captions into Stories ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetHarsh Agrawal et al.2016 · 74 citations
- ReCEval: Evaluating Reasoning Chains via Correctness and InformativenessConference on Empirical Methods in Natural Language Processing (EMNLP)Archiki Prasad, Swarnadeep Saha, Xiang Zhou, et al.2023 · 73 citations
- What is More Likely to Happen Next? Video-and-Language Future Event Prediction ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetJie Lei et al.2020 · 72 citations
- Expressing Visual Relationships via Language ↗Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yetHao Tan et al.2019 · 71 citations
- Towards Robustifying NLI Models Against Lexical Dataset BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Zhou, Mohit Bansal2020 · 70 citations
- Branch-Solve-Merge Improves Large Language Model Evaluation and Generation ↗arXiv:2310.15123 · no summary yetSwarnadeep Saha et al.2023 · 68 citations
- Web-Scale Features for Full-Scale Parsing ↗Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yetMohit Bansal, Dan Klein2011 · 68 citations
- Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information ↗Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) · no summary yetTrang Tran et al.2018 · 62 citations
- Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetArijit Ray et al.2016 · 61 citations
- Good, Great, Excellent: Global Inference of Semantic Intensities ↗Transactions of the Association for Computational Linguistics · no summary yetGerard de Melo, Mohit Bansal2013 · 61 citations
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