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Who cites Urvashi Khandelwal

4,013 citations of their works from 3,832 papers of our library (of the 149,439 whose bibliographies we read) · 851 with a page here, the most cited first · page 1 of 9 · 1–100 · ← Urvashi Khandelwal

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  1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  2. Retrieval-Augmented Generation for Knowledge-Intensive NLP TasksarXiv:2005.11401Patrick Lewis, Ethan Perez, Aleksandra Piktus, et al.2020 · 6,256 citations
  3. Longformer: The Long-Document TransformerarXiv:2004.05150Iz Beltagy, Matthew E. Peters, Arman Cohan2020 · 3,880 citations
  4. XLNet: Generalized Autoregressive Pretraining for Language UnderstandingarXiv:1906.08237Zhilin Yang, Zihang Dai, Yiming Yang, et al.2019 · 3,857 citations
  5. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
  6. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  7. ALBERT: A Lite BERT for Self-supervised Learning of Language RepresentationsarXiv:1909.11942Zhenzhong Lan, Mingda Chen, Sebastian Goodman, et al.2019 · 2,806 citations
  8. Lost in the Middle: How Language Models Use Long ContextsTransactions of the Association for Computational Linguistics (TACL)Nelson F. Liu, Kevin Lin, John Hewitt, et al.2023 · 2,584 citations
  9. TinyBERT: Distilling BERT for Natural Language UnderstandingFindings of the Association for Computational LinguisticsXiaoqi Jiao, Yichun Yin, Lifeng Shang, et al.2020 · 2,378 citations
  10. Emergent Abilities of Large Language ModelsarXiv:2206.07682Jason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,269 citations
  11. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding SystemsarXiv:1905.00537Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al.2019 · 2,227 citations
  12. DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language ModelsarXiv:2402.03300Zhihong Shao, Peiyi Wang, Qihao Zhu, et al.2024 · 2,115 citations
  13. Finetuned Language Models Are Zero-Shot LearnersarXiv:2109.01652Jason Wei, Maarten Bosma, Vincent Y. Zhao, et al.2021 · 1,954 citations
  14. On Faithfulness and Factuality in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Joshua Maynez, Shashi Narayan, Bernd Bohnet, et al.2020 · 1,857 citations
  15. PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777Jingqing Zhang, Yao Zhao, Mohammad Saleh, et al.2019 · 1,828 citations
  16. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextarXiv:2403.05530Gemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,589 citations
  17. REALM: Retrieval-Augmented Language Model Pre-TrainingarXiv:2002.08909Kelvin Guu, Kenton Lee, Zora Tung, et al.2020 · 1,580 citations
  18. VisualBERT: A Simple and Performant Baseline for Vision and LanguagearXiv:1908.03557Liunian Harold Li, Mark Yatskar, Da Yin, et al.2019 · 1,568 citations
  19. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,556 citations
  20. LaMDA: Language Models for Dialog ApplicationsarXiv:2201.08239Romal Thoppilan, Daniel De Freitas, Jamie Hall, et al.2022 · 1,344 citations
  21. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
  22. What Makes Good In-Context Examples for GPT-3?Proceedings of Deep Learning Inside Out (DeeLIO 2022): The 3rd Workshop on Knowledge Extraction and Integration for Deep Learning ArchitecturesJiachang Liu, Dinghan Shen, Yizhe Zhang, et al.2022 · 1,256 citations
  23. Phi-3 Technical Report: A Highly Capable Language Model Locally on Your PhonearXiv:2404.14219Marah Abdin, Jyoti Aneja, Hany Awadalla, et al.2024 · 1,134 citations
  24. Quantifying Attention Flow in TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Samira Abnar, Willem Zuidema2020 · 1,064 citations
  25. GPT Understands, TooAI OpenXiao Liu, Yanan Zheng, Zhengxiao Du, et al.2021 · 1,054 citations
  26. Qwen2.5-VL Technical ReportarXiv:2502.13923Shuai Bai, Keqin Chen, Xuejing Liu, et al.2025 · 1,031 citations
  27. Big Bird: Transformers for Longer SequencesConference on Neural Information Processing Systems (NeurIPS)Manzil Zaheer, Guru Guruganesh, Avinava Dubey, et al.2020 · 1,023 citations
  28. Linguistic Knowledge and Transferability of Contextual RepresentationsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.2019 · 1,021 citations
  29. MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited DevicesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiqing Sun, Hongkun Yu, Xiaodan Song, et al.2020 · 1,016 citations
  30. A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language ModelsACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Wenqi Fan; Yujuan Ding; Liangbo Ning; Shijie Wang; Hengyun Li; Dawei Yin; Tat-Seng Chua;, Qing Li2024 · 1,010 citations
  31. MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGIIEEE Computer Society Conference on Computer Vision and Pattern RecognitionXiang Yue, Yuansheng Ni, Kai Zhang, et al.2023 · 1,005 citations
  32. MMBench: Is Your Multi-modal Model an All-around Player?Lecture notes in computer scienceYuan Liu, Haodong Duan, Yuanhan Zhang, et al.2023 · 942 citations
  33. Active Retrieval Augmented GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhengbao Jiang, Frank Xu, Luyu Gao, et al.2023 · 872 citations
  34. Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionarXiv:2409.12191Peng Wang, Shuai Bai, Sinan Tan, et al.2024 · 860 citations
  35. UNIFIEDQA: Crossing Format Boundaries with a Single QA SystemFindings of the Association for Computational LinguisticsDaniel Khashabi, Sewon Min, Tushar Khot, et al.2020 · 857 citations
  36. Calibrate Before Use: Improving Few-Shot Performance of Language ModelsarXiv:2102.09690Tony Z. Zhao, Eric Wallace, Shi Feng, et al.2021 · 825 citations
  37. In-Context Retrieval-Augmented Language ModelsTransactions of the Association for Computational Linguistics (TACL)Ori Ram, Yoav Levine, Itay Dalmedigos, et al.2023 · 793 citations
  38. Explainability for Large Language Models: A SurveyACM Transactions on Intelligent Systems and TechnologyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 790 citations
  39. Analysis Methods in Neural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Yonatan Belinkov, James Glass2019 · 740 citations
  40. SGLang: Efficient Execution of Structured Language Model ProgramsConference on Neural Information Processing Systems (NeurIPS)Lianmin Zheng, Liangsheng Yin, Zhiqiang Xie, et al.2023 · 729 citations
  41. Learning To Retrieve Prompts for In-Context LearningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ohad Rubin, Jonathan Herzig, Jonathan Berant2021 · 724 citations
  42. SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive SummarizationWorkshop on New Frontiers in SummarizationBogdan Gliwa, Iwona Mochol, Maciej Biesek, et al.2019 · 715 citations
  43. ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All ToolsarXiv:2406.12793Team GLM, Aohan Zeng, Bin Xu, et al.2024 · 691 citations
  44. Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text RetrievalarXiv:2007.00808Lee Xiong, Chenyan Xiong, Ye Li, et al.2020 · 688 citations
  45. Well-Read Students Learn Better: On the Importance of Pre-training Compact ModelsarXiv:1908.08962Iulia Turc, Ming-Wei Chang, Kenton Lee, et al.2019 · 678 citations
  46. Atlas: Few-shot Learning with Retrieval Augmented Language ModelsarXiv:2208.03299Gautier Izacard, Patrick Lewis, Maria Lomeli, et al.2022 · 673 citations
  47. FNet: Mixing Tokens with Fourier TransformsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)James Lee-Thorp, Joshua Ainslie, Ilya Eckstein, et al.2022 · 597 citations
  48. Dissecting Contextual Word Embeddings: Architecture and RepresentationConference on Empirical Methods in Natural Language Processing (EMNLP)Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, et al.2018 · 592 citations
  49. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodearXiv:2403.07974Naman Jain, King Han, Alex Gu, et al.2024 · 578 citations
  50. Leveraging Pre-trained Checkpoints for Sequence Generation TasksTransactions of the Association for Computational Linguistics (TACL)Sascha Rothe, Shashi Narayan, Aliaksei Severyn2019 · 564 citations
  51. Jailbreaking Black Box Large Language Models in Twenty QueriesarXiv:2310.08419Patrick Chao, Alexander Robey, Edgar Dobriban, et al.2023 · 553 citations
  52. Chatbot Arena: An Open Platform for Evaluating LLMs by Human PreferencearXiv:2403.04132Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, et al.2024 · 546 citations
  53. Intrinsic Dimensionality Explains the Effectiveness of Language Model Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Armen Aghajanyan, Sonal Gupta, Luke Zettlemoyer2021 · 542 citations
  54. How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source SuitesScience China Information SciencesZhe Chen, Weiyun Wang, Hao Tian, et al.2024 · 541 citations
  55. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
  56. Probing Classifiers: Promises, Shortcomings, and AdvancesComputational LinguisticsYonatan Belinkov2022 · 529 citations
  57. LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingarXiv:2308.14508Yushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 514 citations
  58. Multilingual Machine Translation with Large Language Models: Empirical Results and AnalysisFindings of the Association for Computational LinguisticsWenhao Zhu, Hongyi Liu, Qingxiu Dong, et al.2024 · 506 citations
  59. REPLUG: Retrieval-Augmented Black-Box Language ModelsarXiv:2301.12652Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023 · 492 citations
  60. Enabling Large Language Models to Generate Text with CitationsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianyu Gao, Howard Yen, Jiatong Yu, et al.2023 · 485 citations
  61. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
  62. In-context Learning and Induction HeadsarXiv:2209.11895Catherine Olsson, Nelson Elhage, Neel Nanda, et al.2022 · 475 citations
  63. CogView: Mastering Text-to-Image Generation via TransformersarXiv:2105.13290Ming Ding, Zhuoyi Yang, Wenyi Hong, et al.2021 · 469 citations
  64. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsarXiv:2310.02255Pan Lu, Hritik Bansal, Tony Xia, et al.2023 · 468 citations
  65. OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific ProblemsAnnual Meeting of the Association for Computational Linguistics (ACL)Chaoqun He, Renjie Luo, Yuzhuo Bai, et al.2024 · 456 citations
  66. FinGPT: Open-Source Financial Large Language ModelsarXiv:2306.06031Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang2023 · 445 citations
  67. WebArena: A Realistic Web Environment for Building Autonomous AgentsarXiv:2307.13854Shuyan Zhou, Frank F. Xu, Hao Zhu, et al.2023 · 432 citations
  68. Kimi k1.5: Scaling Reinforcement Learning with LLMsarXiv:2501.12599Kimi Team, Angang Du, Bofei Gao, et al.2025 · 431 citations
  69. BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical DomainsFindings of the Association for Computational LinguisticsYanis Labrak, Adrien Bazoge, Emmanuel Morin, et al.2024 · 409 citations
  70. Yi: Open Foundation Models by 01.AIarXiv:2403.04652Alex Young, Bei Chen, Chao Li, et al.2024 · 408 citations
  71. Representation Engineering: A Top-Down Approach to AI TransparencyarXiv:2310.01405Andy Zou, Long Phan, Sarah Chen, et al.2023 · 397 citations
  72. Retrieval Augmentation Reduces Hallucination in ConversationarXiv:2104.07567Kurt Shuster, Spencer Poff, Moya Chen, et al.2021 · 392 citations
  73. Tool Learning with Foundation ModelsACM Computing SurveysYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 383 citations
  74. VILA: On Pre-training for Visual Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJi Lin, Hongxu Yin, Wei Ping, et al.2023 · 381 citations
  75. The AI Scientist: Towards Fully Automated Open-Ended Scientific DiscoveryarXiv:2408.06292Chris Lu, Cong Lu, Robert Tjarko Lange, et al.2024 · 372 citations
  76. WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-InstructarXiv:2308.09583Haipeng Luo, Qingfeng Sun, Can Xu, et al.2023 · 372 citations
  77. Augmented Language Models: a SurveyarXiv:2302.07842Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 369 citations
  78. CogAgent: A Visual Language Model for GUI AgentsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionWenyi Hong, Weihan Wang, Qingsong Lv, et al.2023 · 367 citations
  79. RARR: Researching and Revising What Language Models Say, Using Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Luyu Gao, Zhuyun Dai, Panupong Pasupat, et al.2023 · 359 citations
  80. Internet-Augmented Dialogue GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Mojtaba Komeili, Kurt Shuster, Jason Weston2022 · 354 citations
  81. Do NLP Models Know Numbers? Probing Numeracy in EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Wallace, Yizhong Wang, Sujian Li, et al.2019 · 352 citations
  82. Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary SpaceConference on Empirical Methods in Natural Language Processing (EMNLP)Mor Geva, Avi Caciularu, Kevin Ro Wang, et al.2022 · 346 citations
  83. Information-Theoretic Probing with Minimum Description LengthConference on Empirical Methods in Natural Language Processing (EMNLP)Elena Voita, Ivan Titov2020 · 345 citations
  84. Efficient Attentions for Long Document SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Luyang Huang, Shuyang Cao, Nikolaus Parulian, et al.2021 · 336 citations
  85. HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionTianrui Guan, Fuxiao Liu, Xiyang Wu, et al.2023 · 335 citations
  86. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalarXiv:2402.04249Mantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 330 citations
  87. Unsupervised Domain Clusters in Pretrained Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Roee Aharoni, Yoav Goldberg2020 · 330 citations
  88. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingarXiv:2305.11738Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 326 citations
  89. MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 320 citations
  90. The Power of Noise: Redefining Retrieval for RAG SystemsInternational ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, et al.2024 · 312 citations
  91. OCRBench: On the Hidden Mystery of OCR in Large Multimodal ModelsScience China Information SciencesYuliang Liu, Zhang Li, Mingxin Huang, et al.2023 · 306 citations
  92. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
  93. Document-Level Machine Translation with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Longyue Wang, Chenyang Lyu, Tianbo Ji, et al.2023 · 297 citations
  94. Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for LittleConference on Empirical Methods in Natural Language Processing (EMNLP)Koustuv Sinha, Robin Jia, Dieuwke Hupkes, et al.2021 · 297 citations
  95. xLSTM: Extended Long Short-Term MemoryConference on Neural Information Processing Systems (NeurIPS)Maximilian Beck, Korbinian Pöppel, Markus Spanring, et al.2024 · 296 citations
  96. Text Classification via Large Language ModelsFindings of the Association for Computational LinguisticsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
  97. Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence EncodersConference on Empirical Methods in Natural Language Processing (EMNLP)Jue Wang, Wei Lu2020 · 288 citations
  98. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 287 citations
  99. Ragas: Automated Evaluation of Retrieval Augmented GenerationarXiv:2309.15217Shahul Es, Jithin James, Luis Espinosa-Anke, et al.2023 · 283 citations
  100. Fine-grained Fact Verification with Kernel Graph Attention NetworkAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenghao Liu, Chenyan Xiong, Maosong Sun, et al.2020 · 283 citations

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