---
title: "Mohit Bansal — all works — Elamur Research"
description: "All 406 works of Mohit Bansal in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/mohit-bansal/works/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mohit-bansal/works/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Mohit Bansal](https://md.research.elamur.ai/free/en/authors/mohit-bansal/) / all works

# Mohit Bansal — all works

406 works · page 1 of 5 · 1–100 · [← Mohit Bansal](https://md.research.elamur.ai/free/en/authors/mohit-bansal/)

**1** [2](https://md.research.elamur.ai/free/en/authors/mohit-bansal/works/page/2/) … [5](https://md.research.elamur.ai/free/en/authors/mohit-bansal/works/page/5/) [next →](https://md.research.elamur.ai/free/en/authors/mohit-bansal/works/page/2/)

1. **[LXMERT: Learning Cross-Modality Encoder Representations from Transformers](https://md.research.elamur.ai/free/en/papers/tan-2019-lxmert-learning-cross-modality-encoder/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hao Tan, Mohit Bansal*2019 · 2,789 citations*
2. **[End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures](https://md.research.elamur.ai/free/en/papers/miwa-2016-end-end-relation-extraction-lstms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Makoto Miwa, Mohit Bansal*2016 · 1,606 citations*
3. **[Adversarial NLI: A New Benchmark for Natural Language Understanding](https://md.research.elamur.ai/free/en/papers/nie-2020-adversarial-nli-new-benchmark-natural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Nie, Adina Williams, Emily Dinan, et al.*2020 · 1,296 citations*
4. **[MAttNet: Modular Attention Network for Referring Expression Comprehension ↗](https://doi.org/10.1109/cvpr.2018.00142) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Licheng Yu et al.*2018 · 891 citations*
5. **[Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting](https://md.research.elamur.ai/free/en/papers/chen-2018-fast-abstractive-summarization-reinforce-selected/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yen-Chun Chen, Mohit Bansal*2018 · 826 citations*
6. **[Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning](https://md.research.elamur.ai/free/en/papers/liu-2022-few-shot-parameter-efficient-fine/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Haokun Liu, Derek Tam, Mohammed Muqeeth, et al.*2022 · 754 citations*
7. **[TVQA: Localized, Compositional Video Question Answering](https://md.research.elamur.ai/free/en/papers/lei-2018-tvqa-localized-compositional-video-question/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jie Lei, Licheng Yu, Mohit Bansal, et al.*2018 · 687 citations*
8. **[Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling ↗](https://doi.org/10.1109/cvpr46437.2021.00725) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jie Lei et al.*2021 · 663 citations*
9. **[Dynabench: Rethinking Benchmarking in NLP ↗](https://aclanthology.org/2021.naacl-main.324/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Douwe Kiela et al.*2021 · 482 citations*
10. **[Tailoring Continuous Word Representations for Dependency Parsing](https://md.research.elamur.ai/free/en/papers/bansal-2014-tailoring-continuous-word-representations-dependency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mohit Bansal, Kevin Gimpel, Karen Livescu*2014 · 419 citations*
11. **[Combining Fact Extraction and Verification with Neural Semantic Matching Networks ↗](https://doi.org/10.1609/aaai.v33i01.33016859) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Yixin Nie, Haonan Chen, Mohit Bansal*2019 · 417 citations*
12. **[From Paraphrase Database to Compositional Paraphrase Model and Back](https://md.research.elamur.ai/free/en/papers/wieting-2015-paraphrase-database-compositional-paraphrase-model/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**John Wieting, Mohit Bansal, Kevin Gimpel, et al.*2015 · 379 citations*
13. **[VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks ↗](https://doi.org/10.1109/cvpr52688.2022.00516) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yi-Lin Sung, Jaemin Cho, Mohit Bansal*2022 · 369 citations*
14. **[Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout](https://md.research.elamur.ai/free/en/papers/tan-2019-learning-navigate-unseen-environments-back/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hao Tan, Licheng Yu, Mohit Bansal*2019 · 358 citations*
15. **[What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment](https://md.research.elamur.ai/free/en/papers/mei-2016-what-talk-about-how-selective/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Hongyuan Mei, Mohit Bansal, Matthew R. Walter*2016 · 353 citations*
16. **[TIES-Merging: Resolving Interference When Merging Models](https://md.research.elamur.ai/free/en/papers/yadav-2023-ties-merging-resolving-interference-merging/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Prateek Yadav, Derek Tam, Leshem Choshen, et al.*2023 · 324 citations*
17. **[Evaluating Explainable AI: Which Algorithmic Explanations Help Users Predict Model Behavior?](https://md.research.elamur.ai/free/en/papers/hase-2020-evaluating-explainable-ai-which-algorithmic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peter Hase, Mohit Bansal*2020 · 318 citations*
18. **[Unifying Vision-and-Language Tasks via Text Generation ↗](https://arxiv.org/abs/2102.02779) arXiv (Cornell University) · no summary yet**Jaemin Cho et al.*2021 · 317 citations*
19. **[TVR: A Large-Scale Dataset for Video-Subtitle Moment Retrieval ↗](https://doi.org/10.1007/978-3-030-58589-1_27) Lecture notes in computer science · no summary yet**Jie Lei et al.*2020 · 295 citations*
20. [**Towards Universal Paraphrastic Sentence Embeddings arXiv:1511.08198**John Wieting, Mohit Bansal, Kevin Gimpel, et al.*2015 · 276 citations*](https://md.research.elamur.ai/free/en/papers/wieting-2015-towards-universal-paraphrastic-sentence-embeddings/)
21. **[A Joint Speaker-Listener-Reinforcer Model for Referring Expressions ↗](https://doi.org/10.1109/cvpr.2017.375) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Licheng Yu et al.*2017 · 269 citations*
22. **[Multi-Reward Reinforced Summarization with Saliency and Entailment](https://md.research.elamur.ai/free/en/papers/pasunuru-2018-multi-reward-reinforced-summarization-saliency/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Ramakanth Pasunuru, Mohit Bansal*2018 · 255 citations*
23. **[An Empirical Survey of Data Augmentation for Limited Data Learning in NLP](https://md.research.elamur.ai/free/en/papers/chen-2023-empirical-survey-data-augmentation-limited/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Jiaao Chen, Derek Tam, Colin Raffel, et al.*2023 · 254 citations*
24. **[Polite Dialogue Generation Without Parallel Data ↗](https://aclanthology.org/Q18-1027/) Transactions of the Association for Computational Linguistics · no summary yet**Tong Niu, Mohit Bansal*2018 · 249 citations*
25. **[Charagram: Embedding Words and Sentences via Character n-grams](https://md.research.elamur.ai/free/en/papers/wieting-2016-charagram-embedding-words-sentences-character/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**John Wieting, Mohit Bansal, Kevin Gimpel, et al.*2016 · 242 citations*
26. **[DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models ↗](https://doi.org/10.1109/iccv51070.2023.00283) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Jaemin Cho, Abhay Zala, Mohit Bansal*2023 · 237 citations*
27. **[TVQA+: Spatio-Temporal Grounding for Video Question Answering ↗](https://aclanthology.org/2020.acl-main.730/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Jie Lei et al.*2020 · 236 citations*
28. **[Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences ↗](https://arxiv.org/abs/1506.04089) arXiv:1506.04089 · no summary yet**Hongyuan Mei, Mohit Bansal, Matthew R. Walter*2015 · 232 citations*
29. **[Commonsense for Generative Multi-Hop Question Answering Tasks](https://md.research.elamur.ai/free/en/papers/bauer-2018-commonsense-generative-multi-hop-question/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lisa Bauer, Yicheng Wang, Mohit Bansal*2018 · 229 citations*
30. **[HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification](https://md.research.elamur.ai/free/en/papers/jiang-2020-hover-dataset-many-hop-fact/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yichen Jiang, Shikha Bordia, Zheng Zhong, et al.*2020 · 228 citations*
31. **[What Are You Talking About? Text-to-Image Coreference ↗](https://doi.org/10.1109/cvpr.2014.455) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Chen Kong et al.*2014 · 227 citations*
32. **[How Much Can CLIP Benefit Vision-and-Language Tasks? ↗](https://arxiv.org/abs/2107.06383) arXiv (Cornell University) · no summary yet**Sheng Shen et al.*2021 · 220 citations*
33. **[Rethinking machine unlearning for large language models ↗](https://doi.org/10.1038/s42256-025-00985-0) Nature Machine Intelligence · no summary yet**Sijia Liu et al.*2025 · 197 citations*
34. **[What Can We Learn from Collective Human Opinions on Natural Language Inference Data?](https://md.research.elamur.ai/free/en/papers/nie-2020-what-can-we-learn-collective/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yixin Nie, Xiang Zhou, Mohit Bansal*2020 · 196 citations*
35. **[Revealing the Importance of Semantic Retrieval for Machine Reading at Scale](https://md.research.elamur.ai/free/en/papers/nie-2019-revealing-importance-semantic-retrieval-machine/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yixin Nie, Songhe Wang, Mohit Bansal*2019 · 190 citations*
36. **[Improving and Simplifying Pattern Exploiting Training](https://md.research.elamur.ai/free/en/papers/tam-2021-improving-simplifying-pattern-exploiting-training/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Derek Tam, Rakesh R. Menon, Mohit Bansal, et al.*2021 · 189 citations*
37. **[Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation ↗](https://aclanthology.org/P18-1064/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Han Guo, Ramakanth Pasunuru, Mohit Bansal*2018 · 188 citations*
38. **[MART: Memory-Augmented Recurrent Transformer for Coherent Video Paragraph Captioning ↗](https://aclanthology.org/2020.acl-main.233/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Jie Lei et al.*2020 · 187 citations*
39. **[GrIPS: Gradient-free, Edit-based Instruction Search for Prompting Large Language Models](https://md.research.elamur.ai/free/en/papers/prasad-2023-grips-gradient-free-edit-based/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Archiki Prasad, Peter Hase, Xiang Zhou, et al.*2023 · 184 citations*
40. **[Who did What: A Large-Scale Person-Centered Cloze Dataset](https://md.research.elamur.ai/free/en/papers/onishi-2016-who-did-what-large-scale/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Takeshi Onishi, Hai Wang, Mohit Bansal, et al.*2016 · 176 citations*
41. **[Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2019-addressing-semantic-drift-question-generation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shiyue Zhang, Mohit Bansal*2019 · 174 citations*
42. **[Deep Multilingual Correlation for Improved Word Embeddings ↗](https://aclanthology.org/N15-1028/) Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Ang Lu et al.*2015 · 170 citations*
43. **[Shortcut-Stacked Sentence Encoders for Multi-Domain Inference ↗](https://aclanthology.org/W17-5308/) Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP · no summary yet**Yixin Nie, Mohit Bansal*2017 · 169 citations*
44. **[Robustness Gym: Unifying the NLP Evaluation Landscape ↗](https://aclanthology.org/2021.naacl-demos.6/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations · no summary yet**Karan Goel et al.*2021 · 165 citations*
45. **[Unifying Vision, Text, and Layout for Universal Document Processing ↗](https://doi.org/10.1109/cvpr52729.2023.01845) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zineng Tang et al.*2023 · 162 citations*
46. **[ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs](https://md.research.elamur.ai/free/en/papers/chen-2024-reconcile-round-table-conference-improves/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Justin Chen, Swarnadeep Saha, Mohit Bansal*2024 · 156 citations*
47. **[The Role of Context Types and Dimensionality in Learning Word Embeddings](https://md.research.elamur.ai/free/en/papers/melamud-2016-role-context-types-dimensionality-learning/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Oren Melamud, David McClosky, Siddharth Patwardhan, et al.*2016 · 144 citations*
48. **[Avoiding Reasoning Shortcuts: Adversarial Evaluation, Training, and Model Development for Multi-Hop QA](https://md.research.elamur.ai/free/en/papers/jiang-2019-avoiding-reasoning-shortcuts-adversarial-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yichen Jiang, Mohit Bansal*2019 · 143 citations*
49. **[Reinforced Video Captioning with Entailment Rewards ↗](https://aclanthology.org/D17-1103/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ramakanth Pasunuru, Mohit Bansal*2017 · 139 citations*
50. **[Analyzing and Mitigating Object Hallucination in Large Vision-Language Models ↗](https://arxiv.org/abs/2310.00754) arXiv:2310.00754 · no summary yet**Yiyang Zhou et al.*2023 · 134 citations*
51. **[Detecting Linguistic Characteristics of Alzheimer's Dementia by Interpreting Neural Models ↗](https://aclanthology.org/N18-2110/) 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 yet**Sweta Karlekar, Tong Niu, Mohit Bansal*2018 · 134 citations*
52. **[Robust Machine Comprehension Models via Adversarial Training ↗](https://aclanthology.org/N18-2091/) 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 yet**Yicheng Wang, Mohit Bansal*2018 · 132 citations*
53. **[Multi-Task Video Captioning with Video and Entailment Generation ↗](https://aclanthology.org/P17-1117/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Ramakanth Pasunuru, Mohit Bansal*2017 · 132 citations*
54. **[Leakage-Adjusted Simulatability: Can Models Generate Non-Trivial Explanations of Their Behavior in Natural Language?](https://md.research.elamur.ai/free/en/papers/hase-2020-leakage-adjusted-simulatability-can-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Peter Hase, Shiyue Zhang, Harry Xie, et al.*2020 · 126 citations*
55. **[Analyzing Compositionality-Sensitivity of NLI Models](https://md.research.elamur.ai/free/en/papers/nie-2018-analyzing-compositionality-sensitivity-nli-models/) [Proceedings of the AAAI Conference on Artificial Intelligence](https://md.research.elamur.ai/free/en/venues/proceedings-of-the-aaai-conference-on-artificial-intelligence/)**Yixin Nie, Yicheng Wang, Mohit Bansal*2018 · 121 citations*
56. **[Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision ↗](https://aclanthology.org/2020.emnlp-main.162/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Hao Tan, Mohit Bansal*2020 · 120 citations*
57. **[Evaluating the Factual Consistency of Large Language Models Through News Summarization ↗](https://aclanthology.org/2023.findings-acl.322/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Derek Tam et al.*2023 · 118 citations*
58. **[Vision Transformers are Parameter-Efficient Audio-Visual Learners ↗](https://doi.org/10.1109/cvpr52729.2023.00228) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yan-Bo Lin et al.*2023 · 117 citations*
59. **[Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits ↗](https://doi.org/10.1609/aaai.v34i05.6288) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Han Guo, Ramakanth Pasunuru, Mohit Bansal*2020 · 115 citations*
60. **[Machine Comprehension with Syntax, Frames, and Semantics ↗](https://aclanthology.org/P15-2115/) 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 yet**Hai Wang et al.*2015 · 115 citations*
61. **[Coherent Dialogue with Attention-Based Language Models ↗](https://doi.org/10.1609/aaai.v31i1.10961) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Hongyuan Mei, Mohit Bansal, Matthew R. Walter*2017 · 109 citations*
62. **[Multi-Target Embodied Question Answering ↗](https://doi.org/10.1109/cvpr.2019.00647) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Licheng Yu et al.*2019 · 105 citations*
63. **[PRover: Proof Generation for Interpretable Reasoning over Rules](https://md.research.elamur.ai/free/en/papers/saha-2020-prover-proof-generation-interpretable-reasoning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Swarnadeep Saha, Sayan Ghosh, Shashank Srivastava, et al.*2020 · 103 citations*
64. **[Revealing Single Frame Bias for Video-and-Language Learning ↗](https://aclanthology.org/2023.acl-long.29/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jie Lei, Tamara Berg, Mohit Bansal*2023 · 102 citations*
65. **[Envedit: Environment Editing for Vision-and-Language Navigation ↗](https://doi.org/10.1109/cvpr52688.2022.01497) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jialu Li, Hao Xuan Tan, Mohit Bansal*2022 · 102 citations*
66. **[FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/wan-2022-factpegasus-factuality-aware-pre-training/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David Wan, Mohit Bansal*2022 · 101 citations*
67. **[I like fish, especially dolphins: Addressing Contradictions in Dialogue Modeling](https://md.research.elamur.ai/free/en/papers/nie-2021-i-like-fish-especially-dolphins/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yixin Nie, Mary Williamson, Mohit Bansal, et al.*2021 · 101 citations*
68. **[Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation ↗](https://aclanthology.org/N19-1072/) 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 yet**Ori Shapira et al.*2019 · 101 citations*
69. **[The Power of Negative Thinking: Exploiting Label Disagreement in the Min-cut Classification Framework ↗](https://aclanthology.org/C08-2004/) Coling 2008: Companion volume: Posters · no summary yet**Mohit Bansal, Claire Cardie, Lillian Lee*2008 · 101 citations*
70. **[Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models ↗](https://aclanthology.org/K18-1047/) Proceedings of the 22nd Conference on Computational Natural Language Learning · no summary yet**Tong Niu, Mohit Bansal*2018 · 98 citations*
71. **[A Simple LLM Framework for Long-Range Video Question-Answering ↗](https://aclanthology.org/2024.emnlp-main.1209/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Ce Zhang et al.*2024 · 96 citations*
72. **[VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos ↗](https://doi.org/10.1109/cvpr52734.2025.00311) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ziyang Wang et al.*2025 · 91 citations*
73. **[Detecting Moments and Highlights in Videos via Natural Language Queries ↗](https://openalex.org/W3214448253) neural information processing systems · no summary yet**Jie Lei, Tamara L. Berg, Mohit Bansal*2021 · 91 citations*
74. **[Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning ↗](https://aclanthology.org/D19-1455/) 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 yet**Yichen Jiang, Mohit Bansal*2019 · 90 citations*
75. **[ADaPT: As-Needed Decomposition and Planning with Language Models](https://md.research.elamur.ai/free/en/papers/prasad-2024-adapt-as-needed-decomposition-planning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Archiki Prasad, Alexander Koller, Mareike Hartmann, et al.*2024 · 89 citations*
76. **[InfoSurgeon: Cross-Media Fine-grained Information Consistency Checking for Fake News Detection ↗](https://aclanthology.org/2021.acl-long.133/) 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 yet**Yi Fung et al.*2021 · 88 citations*
77. **[Interpreting Neural Networks to Improve Politeness Comprehension](https://md.research.elamur.ai/free/en/papers/aubakirova-2016-interpreting-neural-networks-improve-politeness/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Malika Aubakirova, Mohit Bansal*2016 · 87 citations*
78. **[FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging ↗](https://aclanthology.org/2021.emnlp-main.808/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Han Guo et al.*2021 · 86 citations*
79. **[Efficiently Summarizing Text and Graph Encodings of Multi-Document Clusters ↗](https://aclanthology.org/2021.naacl-main.380/) Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Ramakanth Pasunuru et al.*2021 · 85 citations*
80. **[Unified Coarse-to-Fine Alignment for Video-Text Retrieval ↗](https://doi.org/10.1109/iccv51070.2023.00264) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Ziyang Wang et al.*2023 · 84 citations*
81. **[Structured Learning for Taxonomy Induction with Belief Propagation ↗](https://aclanthology.org/P14-1098/) Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Mohit Bansal et al.*2014 · 84 citations*
82. **[FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations ↗](https://aclanthology.org/2022.naacl-main.236/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Leonardo F. R. Ribeiro et al.*2022 · 82 citations*
83. **[When Can Models Learn From Explanations? A Formal Framework for Understanding the Roles of Explanation Data ↗](https://aclanthology.org/2022.lnls-1.4/) Proceedings of the First Workshop on Learning with Natural Language Supervision · no summary yet**Peter Hase, Mohit Bansal*2022 · 80 citations*
84. **[StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation ↗](https://doi.org/10.1007/978-3-031-19836-6_5) Lecture notes in computer science · no summary yet**Adyasha Maharana, Darryl Hannan, Mohit Bansal*2022 · 80 citations*
85. **[VindLU: A Recipe for Effective Video-and-Language Pretraining ↗](https://doi.org/10.1109/cvpr52729.2023.01034) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Feng Cheng et al.*2023 · 79 citations*
86. **[Hierarchically-Attentive RNN for Album Summarization and Storytelling ↗](https://aclanthology.org/D17-1101/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Licheng Yu, Mohit Bansal, Tamara Berg*2017 · 79 citations*
87. **[Scaling Data Generation in Vision-and-Language Navigation ↗](https://doi.org/10.1109/iccv51070.2023.01103) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Zun Wang et al.*2023 · 78 citations*
88. **[Fine-grained Image Captioning with CLIP Reward ↗](https://aclanthology.org/2022.findings-naacl.39/) Findings of the Association for Computational Linguistics: NAACL 2022 · no summary yet**Jaemin Cho et al.*2022 · 77 citations*
89. **[ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning ↗](https://aclanthology.org/2021.emnlp-main.609/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Swarnadeep Saha et al.*2021 · 77 citations*
90. **[PaperRobot: Incremental Draft Generation of Scientific Ideas ↗](https://aclanthology.org/P19-1191/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Qingyun Wang et al.*2019 · 75 citations*
91. **[Sort Story: Sorting Jumbled Images and Captions into Stories ↗](https://aclanthology.org/D16-1091/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Harsh Agrawal et al.*2016 · 74 citations*
92. **[ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness](https://md.research.elamur.ai/free/en/papers/prasad-2023-receval-evaluating-reasoning-chains-correctness/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Archiki Prasad, Swarnadeep Saha, Xiang Zhou, et al.*2023 · 73 citations*
93. **[What is More Likely to Happen Next? Video-and-Language Future Event Prediction ↗](https://aclanthology.org/2020.emnlp-main.706/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Jie Lei et al.*2020 · 72 citations*
94. **[Expressing Visual Relationships via Language ↗](https://aclanthology.org/P19-1182/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Hao Tan et al.*2019 · 71 citations*
95. **[Towards Robustifying NLI Models Against Lexical Dataset Biases](https://md.research.elamur.ai/free/en/papers/zhou-2020-robustifying-nli-models-against-lexical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiang Zhou, Mohit Bansal*2020 · 70 citations*
96. **[Branch-Solve-Merge Improves Large Language Model Evaluation and Generation ↗](https://arxiv.org/abs/2310.15123) arXiv:2310.15123 · no summary yet**Swarnadeep Saha et al.*2023 · 68 citations*
97. **[Web-Scale Features for Full-Scale Parsing ↗](https://aclanthology.org/P11-1070/) Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Mohit Bansal, Dan Klein*2011 · 68 citations*
98. **[Parsing Speech: a Neural Approach to Integrating Lexical and Acoustic-Prosodic Information ↗](https://aclanthology.org/N18-1007/) 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 yet**Trang Tran et al.*2018 · 62 citations*
99. **[Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions ↗](https://aclanthology.org/D16-1090/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Arijit Ray et al.*2016 · 61 citations*
100. **[Good, Great, Excellent: Global Inference of Semantic Intensities ↗](https://aclanthology.org/Q13-1023/) Transactions of the Association for Computational Linguistics · no summary yet**Gerard de Melo, Mohit Bansal*2013 · 61 citations*

**1** [2](https://md.research.elamur.ai/free/en/authors/mohit-bansal/works/page/2/) … [5](https://md.research.elamur.ai/free/en/authors/mohit-bansal/works/page/5/) [next →](https://md.research.elamur.ai/free/en/authors/mohit-bansal/works/page/2/)