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Mohit Bansal

1988–2026 年に発表

480
論文数
28,597
被引用数
77
h 指数
287
i10 指数

被引用数

Mohit Bansal の年別被引用数1977 年: 被引用 1 件1990 年: 被引用 4 件1991 年: 被引用 2 件1992 年: 被引用 4 件1993 年: 被引用 9 件1994 年: 被引用 8 件1995 年: 被引用 3 件1996 年: 被引用 7 件1997 年: 被引用 16 件1998 年: 被引用 7 件1999 年: 被引用 9 件2000 年: 被引用 6 件2001 年: 被引用 5 件2002 年: 被引用 3 件2003 年: 被引用 3 件2004 年: 被引用 5 件2005 年: 被引用 4 件2006 年: 被引用 4 件2007 年: 被引用 4 件2008 年: 被引用 5 件2009 年: 被引用 16 件2010 年: 被引用 14 件2011 年: 被引用 21 件2012 年: 被引用 39 件2013 年: 被引用 57 件2014 年: 被引用 43 件2015 年: 被引用 131 件2016 年: 被引用 185 件2017 年: 被引用 274 件2018 年: 被引用 424 件2019 年: 被引用 514 件2020 年: 被引用 811 件2021 年: 被引用 1,027 件2022 年: 被引用 1,221 件2023 年: 被引用 1,832 件2024 年: 被引用 2,324 件2025 年: 被引用 3,268 件2026 年: 被引用 1,565 件1978〜1989 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図アメリカ合衆国: 引用元論文 2,812 件、この内訳の 27.8%中国: 引用元論文 2,238 件、この内訳の 22.2%イギリス: 引用元論文 659 件、この内訳の 6.5%ドイツ: 引用元論文 404 件、この内訳の 4%カナダ: 引用元論文 308 件、この内訳の 3%オーストラリア: 引用元論文 304 件、この内訳の 3%シンガポール: 引用元論文 291 件、この内訳の 2.9%インド: 引用元論文 252 件、この内訳の 2.5%香港: 引用元論文 250 件、この内訳の 2.5%日本: 引用元論文 222 件、この内訳の 2.2%韓国: 引用元論文 217 件、この内訳の 2.1%フランス: 引用元論文 198 件、この内訳の 2%
0%27.8%その他 19.3%

機関

分野

  • Computer Science83.8%
  • Social Sciences3.1%
  • Medicine2.7%
  • Engineering2.3%
  • Biochemistry, Genetics and Molecular Biology1.5%
  • Psychology1.4%
  • その他5.2%

トピック

  • 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%
  • その他53.1%

共著者

全論文

検索で開く
  1. TrustLLM: Trustworthiness in Large Language Models

    著者: 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 被引用: 410

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

    著者: 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 被引用: 2,266

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

    著者: 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 被引用: 272

  4. OpenThoughts: Data Recipes for Reasoning Models

    著者: 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 被引用: 257

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

    著者: Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao - ICLR 2024 被引用: 348

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

    著者: Haokun Liu, Derek Tam, Mohammed Muqeeth, Jay Mohta, Tenghao Huang, Mohit Bansal, Colin Raffel - NeurIPS 2022 被引用: 1,382

  7. Rethinking Machine Unlearning for Large Language Models

    著者: 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 被引用: 168

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

    著者: 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 ほか 3 名 - ArXiv.org, CoRR 2025 被引用: 143

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

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

  10. Dynabench: Rethinking Benchmarking in NLP

    著者: 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 被引用: 193

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

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

  12. TVQA: Localized, Compositional Video Question Answering

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

  13. TIES-Merging: Resolving Interference When Merging Models

    著者: Prateek Yadav, Derek Tam, Leshem Choshen, Colin A. Raffel, Mohit Bansal - NeurIPS 2023 被引用: 848

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

    著者: Hao Tan, Licheng Yu, Mohit Bansal - Conference of the North, NAACL-HLT (1) 2019 被引用: 307

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

    著者: 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 被引用: 97

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

    著者: 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 被引用: 97

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

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

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

    著者: Han Lin, Abhay Zala, Jaemin Cho, Mohit Bansal - arXiv (Cornell University), CoRR 2023 被引用: 98

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

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

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

    著者: 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 被引用: 83

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

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

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

    著者: Jaemin Cho, Debanjan Mahata, Ozan Irsoy, Yujie He, Mohit Bansal - arXiv (Cornell University), CoRR 2024 被引用: 77

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

    著者: 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 被引用: 71

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

    著者: 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 被引用: 122