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Mohit Bansal

Active 1988–2026

480
Papers
28,597
Citations
77
h-index
287
i10-index

Citations

Citations per year for Mohit Bansal1977: 1 citations1990: 4 citations1991: 2 citations1992: 4 citations1993: 9 citations1994: 8 citations1995: 3 citations1996: 7 citations1997: 16 citations1998: 7 citations1999: 9 citations2000: 6 citations2001: 5 citations2002: 3 citations2003: 3 citations2004: 5 citations2005: 4 citations2006: 4 citations2007: 4 citations2008: 5 citations2009: 16 citations2010: 14 citations2011: 21 citations2012: 39 citations2013: 57 citations2014: 43 citations2015: 131 citations2016: 185 citations2017: 274 citations2018: 424 citations2019: 514 citations2020: 811 citations2021: 1,027 citations2022: 1,221 citations2023: 1,832 citations2024: 2,324 citations2025: 3,268 citations2026: 1,565 citations1978–1989: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,812 citing papers, 27.8% of this breakdownChina: 2,238 citing papers, 22.2% of this breakdownUnited Kingdom: 659 citing papers, 6.5% of this breakdownGermany: 404 citing papers, 4% of this breakdownCanada: 308 citing papers, 3% of this breakdownAustralia: 304 citing papers, 3% of this breakdownSingapore: 291 citing papers, 2.9% of this breakdownIndia: 252 citing papers, 2.5% of this breakdownHong Kong: 250 citing papers, 2.5% of this breakdownJapan: 222 citing papers, 2.2% of this breakdownSouth Korea: 217 citing papers, 2.1% of this breakdownFrance: 198 citing papers, 2% of this breakdown
0%27.8%Other 19.3%

Institutions

Fields

  • Computer Science83.8%
  • Social Sciences3.1%
  • Medicine2.7%
  • Engineering2.3%
  • Biochemistry, Genetics and Molecular Biology1.5%
  • Psychology1.4%
  • Other5.2%

Topics

  • Topic Modeling15.7%
  • Multimodal Machine Learning Applications11.5%
  • Natural Language Processing Techniques10.7%
  • Domain Adaptation and Few-Shot Learning4%
  • Advanced Image and Video Retrieval Techniques2.8%
  • Explainable Artificial Intelligence (XAI)2.2%
  • Other53.1%

Coauthors

All papers

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  1. TrustLLM: Trustworthiness in Large Language Models

    Authors: Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao - arXiv (Cornell University), CoRR 2024 cited by 410

  2. LXMERT: Learning Cross-Modality Encoder Representations from Transformers

    Authors: Hao Tan, Mohit Bansal - Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), EMNLP/IJCNLP (1) 2019 cited by 2,266

  3. Evaluating Very Long-Term Conversational Memory of LLM Agents

    Authors: Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 cited by 272

  4. OpenThoughts: Data Recipes for Reasoning Models

    Authors: Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt - ArXiv.org, CoRR 2025 cited by 257

  5. Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

    Authors: Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao - ICLR 2024 cited by 348

  6. Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning

    Authors: Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel - NeurIPS 2022 cited by 1,382

  7. Rethinking Machine Unlearning for Large Language Models

    Authors: Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Yuguang Yao, Chris Yuhao Liu, Xiaojun Xu, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu - Nature Machine Intelligence, Nat. Mac. Intell. 2025 cited by 168

  8. A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment

    Authors: Kun Wang, Guibin Zhang, Zhenhong Zhou, Jiahao Wu, Miao Yu, Shiqian Zhao, Chenlong Yin, Fu J, Yan, Yibo, Luo, Hanjun, Liang Lin, Zhihao Xu, Hai Lu, Cao, Xinye, Xinyun Zhou, Weifei Jin, Fanci Meng, Shicheng Xu, Junyuan Mao, Yu Wang, Hao Wu, Minghe Wang, Fan Zhang, Junfeng Fang, Wenjie Qu, Yue Liu, Chengwei Liu, Yifan Zhang, Qiankun Li, Guo, Chongye, Yalan Qin, Zhaoxin Fan, Kai Wang, Yi Ding, Donghai Hong, Jiaming Ji, Yingxin Lai, Zitong Yu, Xinfeng Li, Yifan Jiang, Yanhui Li, Xinyu Deng, Junlin Wu, Dongxia Wang, Yihao Huang, Yufei Guo, Jen-tse Huang, Qiufeng Wang, Xiaolong Jin, Wenxuan Wang, Dongrui Liu, Yanwei Yue, Wenke Huang, Guancheng Wan, Heng Chang, Tianlin Li, Yi Yu, Chenghao Li, Jiawei Li, Lei Bai, Jie Zhang, Qing Guo, Jingyi Wang, Tianlong Chen, Zhou, Joey Tianyi, Xiaojun Jia, Weisong Sun, Cong Wu, Jing Chen, Xuming Hu, Yiming Li, Xiao Wang, Ningyu Zhang, Luu Anh Tuan, Guowen Xu, Jiaheng Zhang, Tianwei Zhang, Xingjun Ma, Jindong Gu, Liang Pang, Wang, Xiang, Bo An, Jun Sun, Mohit Bansal, Shirui Pan, Lingjuan Lyu, Yuval Elovici, Bhavya Kailkhura, Yaodong Yang, Hongwei Li, Wenyuan Xu, Yizhou Sun, Wei Wang, Qing Li, Ke Tang, Yu–Gang Jiang, Felix Juefei-Xu, Xiong, Hui, Xiaofeng Wang, Dacheng Tao and 3 more - ArXiv.org, CoRR 2025 cited by 143

  9. Adversarial NLI: A New Benchmark for Natural Language Understanding

    Authors: Yixin Nie, Adina Williams, Emily Dinan, Mohit Bansal, Jason Weston, Douwe Kiela - Meeting of the Association for Computational Linguistics, ACL 2020 cited by 609

  10. Dynabench: Rethinking Benchmarking in NLP

    Authors: 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 - Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2021 cited by 193

  11. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs

    Authors: Justin Chen, Swarnadeep Saha, Mohit Bansal - Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL (1) 2024 cited by 126

  12. TVQA: Localized, Compositional Video Question Answering

    Authors: Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg - Conference on Empirical Methods in Natural Language Processing, EMNLP 2018 cited by 533

  13. TIES-Merging: Resolving Interference When Merging Models

    Authors: Prateek Yadav, Derek Tam, Leshem Choshen, Colin A. Raffel, Mohit Bansal - NeurIPS 2023 cited by 848

  14. Learning to Navigate Unseen Environments: Back Translation with Environmental Dropout

    Authors: Hao Tan, Licheng Yu, Mohit Bansal - Conference of the North, NAACL-HLT (1) 2019 cited by 307

  15. VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos

    Authors: Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025 cited by 97

  16. A Simple LLM Framework for Long-Range Video Question-Answering

    Authors: Ce Zhang, Taixi Lu, Md Mohaiminul Islam, Ziyang Wang, Shoubin Yu, Mohit Bansal, Gedas Bertasius - Conference on Empirical Methods in Natural Language Processing, EMNLP 2024 cited by 97

  17. How Much Can CLIP Benefit Vision-and-Language Tasks?

    Authors: Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer - ICLR 2022 cited by 516

  18. VideoDirectorGPT: Consistent Multi-scene Video Generation via LLM-Guided Planning

    Authors: Han Lin, Abhay Zala, Jaemin Cho, Mohit Bansal - arXiv (Cornell University), CoRR 2023 cited by 98

  19. GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations

    Authors: Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu - arXiv (Cornell University), CoRR 2024 cited by 88

  20. ADaPT: As-Needed Decomposition and Planning with Language Models

    Authors: Archiki Prasad, Alexander Koller, Mareike Hartmann, Peter Clark, Ashish Sabharwal, Mohit Bansal, Tushar Khot - Findings of the Association for Computational Linguistics: NAACL 2024, NAACL-HLT (Findings) 2024 cited by 83

  21. Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation

    Authors: Jaemin Cho, Yushi Hu, Jason M. Baldridge, Roopal Garg, Peter Anderson, Ranjay Krishna, Mohit Bansal, Jordi Pont-Tuset, Su Wang - ICLR 2024 cited by 166

  22. M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

    Authors: Jaemin Cho, Debanjan Mahata, Ozan Irsoy, Yujie He, Mohit Bansal - arXiv (Cornell University), CoRR 2024 cited by 77

  23. Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences

    Authors: Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang - arXiv (Cornell University), CoRR 2024 cited by 71

  24. HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification

    Authors: Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Kumar Singh, Mohit Bansal - Findings of the Association for Computational Linguistics: EMNLP 2020, EMNLP (Findings) 2020 cited by 122