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Who cites Andrew Dai

15,878 citations of their works from 12,095 papers of our library (of the 149,439 whose bibliographies we read) · 2,752 with a page here, the most cited first · page 3 of 28 · 201–300 · ← Andrew Dai

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  1. Release Strategies and the Social Impacts of Language ModelsarXiv:1908.09203Irene Solaiman, Miles Brundage, Jack Clark, et al.2019 · 554 citations
  2. Jailbreaking Black Box Large Language Models in Twenty QueriesarXiv:2310.08419Patrick Chao, Alexander Robey, Edgar Dobriban, et al.2023 · 553 citations
  3. Precise Zero-Shot Dense Retrieval without Relevance LabelsAnnual Meeting of the Association for Computational Linguistics (ACL)Luyu Gao, Xueguang Ma, Jimmy Lin, et al.2022 · 549 citations
  4. A Hierarchical Latent Variable Encoder-Decoder Model for Generating DialoguesProceedings of the AAAI Conference on Artificial IntelligenceIulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, et al.2016 · 547 citations
  5. Chatbot Arena: An Open Platform for Evaluating LLMs by Human PreferencearXiv:2403.04132Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, et al.2024 · 546 citations
  6. Gorilla: Large Language Model Connected with Massive APIsConference on Neural Information Processing Systems (NeurIPS)Shishir G. Patil, Tianjun Zhang, Xin Wang, et al.2023 · 546 citations
  7. 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
  8. Toward Controlled Generation of TextarXiv:1703.00955Zhiting Hu, Zichao Yang, Xiaodan Liang, et al.2017 · 537 citations
  9. 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
  10. Large Language Models Can Be Easily Distracted by Irrelevant ContextarXiv:2302.00093Freda Shi, Xinyun Chen, Kanishka Misra, et al.2023 · 534 citations
  11. TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with RecommendationarXiv:2305.00447Keqin Bao; Jizhi Zhang; Yang Zhang; Wenjie Wang; Fuli Feng;, Xiangnan He2023 · 531 citations
  12. Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 520 citations
  13. Baichuan 2: Open Large-scale Language ModelsarXiv:2309.10305Aiyuan Yang, Bin Xiao, Bingning Wang, et al.2023 · 517 citations
  14. LongBench: A Bilingual, Multitask Benchmark for Long Context UnderstandingarXiv:2308.14508Yushi Bai, Xin Lv, Jiajie Zhang, et al.2023 · 514 citations
  15. Learned in Translation: Contextualized Word VectorsarXiv:1708.00107Bryan McCann, James Bradbury, Caiming Xiong, et al.2017 · 512 citations
  16. 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
  17. Sentiment Analysis in the Era of Large Language Models: A Reality CheckFindings of the Association for Computational LinguisticsWenxuan Zhang, Yue Deng, Bing Liu, et al.2023 · 506 citations
  18. Sparse, Dense, and Attentional Representations for Text RetrievalTransactions of the Association for Computational Linguistics (TACL)Yi Luan, Jacob Eisenstein, Kristina Toutanova, et al.2021 · 503 citations
  19. Few-shot Learning with Multilingual Language ModelsarXiv:2112.10668Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, et al.2021 · 500 citations
  20. Towards an Automatic Turing Test: Learning to Evaluate Dialogue ResponsesAnnual Meeting of the Association for Computational Linguistics (ACL)Ryan Lowe, Michael Noseworthy, Iulian V. Serban, et al.2017 · 499 citations
  21. Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human AnnotationsAnnual Meeting of the Association for Computational Linguistics (ACL)Peiyi Wang, Lei Li, Zhihong Shao, et al.2024 · 497 citations
  22. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.2023 · 496 citations
  23. GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 496 citations
  24. Language Models are Multilingual Chain-of-Thought ReasonersarXiv:2210.03057Freda Shi, Mirac Suzgun, Markus Freitag, et al.2022 · 494 citations
  25. Semi-Supervised Sequence Modeling with Cross-View TrainingConference on Empirical Methods in Natural Language Processing (EMNLP)Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al.2018 · 494 citations
  26. Inference-Time Intervention: Eliciting Truthful Answers from a Language ModelConference on Neural Information Processing Systems (NeurIPS)Kenneth Li, Oam Patel, Fernanda Viegas, et al.2023 · 492 citations
  27. REPLUG: Retrieval-Augmented Black-Box Language ModelsarXiv:2301.12652Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023 · 492 citations
  28. ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, et al.2022 · 485 citations
  29. DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability CurvaturearXiv:2301.11305Eric Mitchell, Yoonho Lee, Alexander Khazatsky, et al.2023 · 481 citations
  30. Orca: A Distributed Serving System for Transformer-Based Generative ModelsOSDI 2022Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, et al.2022 · 478 citations
  31. LLaVA-OneVision: Easy Visual Task TransferarXiv:2408.03326Bo Li, Yuanhan Zhang, Dong Guo, et al.2024 · 477 citations
  32. Learning to Generate Reviews and Discovering SentimentarXiv:1704.01444Alec Radford, Rafal Jozefowicz, Ilya Sutskever2017 · 474 citations
  33. Large Language Models: A SurveyarXiv:2402.06196Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.2024 · 471 citations
  34. MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual ContextsarXiv:2310.02255Pan Lu, Hritik Bansal, Tony Xia, et al.2023 · 468 citations
  35. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkarXiv:2202.03052Peng Wang, An Yang, Rui Men, et al.2022 · 467 citations
  36. CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-XACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Qinkai Zheng, Xiao Xia, Xu Zou, et al.2023 · 465 citations
  37. Joint Embedding of Words and Labels for Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Guoyin Wang, Chunyuan Li, Wenlin Wang, et al.2018 · 465 citations
  38. MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkIEEE Computer Society Conference on Computer Vision and Pattern RecognitionKunchang Li, Yali Wang, Yinan He, et al.2023 · 463 citations
  39. LinkBERT: Pretraining Language Models with Document LinksAnnual Meeting of the Association for Computational Linguistics (ACL)Michihiro Yasunaga, Jure Leskovec, Percy Liang2022 · 458 citations
  40. 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
  41. AlpacaFarm: A Simulation Framework for Methods that Learn from Human FeedbackConference on Neural Information Processing Systems (NeurIPS)Yann Dubois, Xuechen Li, Rohan Taori, et al.2023 · 456 citations
  42. ShareGPT4V: Improving Large Multi-Modal Models with Better CaptionsLecture notes in computer scienceLin Chen, Jinsong Li, Xiaoyi Dong, et al.2023 · 454 citations
  43. Large language models are few-shot clinical information extractorsConference on Empirical Methods in Natural Language Processing (EMNLP)Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.2022 · 454 citations
  44. LLM-Pruner: On the Structural Pruning of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Xinyin Ma, Gongfan Fang, Xinchao Wang2023 · 452 citations
  45. Mathematical Capabilities of ChatGPTConference on Neural Information Processing Systems (NeurIPS)Simon Frieder, Luca Pinchetti, Alexis Chevalier, et al.2023 · 449 citations
  46. FinGPT: Open-Source Financial Large Language ModelsarXiv:2306.06031Hongyang Yang, Xiao-Yang Liu, Christina Dan Wang2023 · 445 citations
  47. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
  48. Diffusion-LM Improves Controllable Text GenerationarXiv:2205.14217Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, et al.2022 · 440 citations
  49. oLMpics — On what Language Model Pre-training CapturesTransactions of the Association for Computational Linguistics (TACL)Alon Talmor, Yanai Elazar, Yoav Goldberg, et al.2019 · 440 citations
  50. Large Legal Fictions: Profiling Legal Hallucinations in Large Language ModelsarXiv:2401.01301 · Journal of Legal Analysis 16, no. 1 (2024): 64-93Matthew Dahl, Varun Magesh, Mirac Suzgun, et al.2024 · 437 citations
  51. GPT-NER: Named Entity Recognition via Large Language ModelsFindings of the Association for Computational LinguisticsShuhe Wang, Xiaofei Sun, Xiaoya Li, et al.2025 · 436 citations
  52. Negated and Misprimed Probes for Pretrained Language Models: Birds Can Talk, But Cannot FlyAnnual Meeting of the Association for Computational Linguistics (ACL)Nora Kassner, Hinrich Schütze2020 · 435 citations
  53. The FineWeb Datasets: Decanting the Web for the Finest Text Data at ScaleConference on Neural Information Processing Systems (NeurIPS)Guilherme Penedo, Hynek Kydlíček, Loubna Ben allal, et al.2024 · 434 citations
  54. Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLsConference on Neural Information Processing Systems (NeurIPS)Jinyang Li, Binyuan Hui, Ge Qu, et al.2023 · 433 citations
  55. Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language GenerationarXiv:2302.09664Lorenz Kuhn, Yarin Gal, Sebastian Farquhar2023 · 433 citations
  56. Adversarial Training Methods for Semi-Supervised Text ClassificationarXiv:1605.07725Takeru Miyato, Andrew M. Dai, Ian Goodfellow2016 · 433 citations
  57. AgentBench: Evaluating LLMs as AgentsarXiv:2308.03688Xiao Liu, Hao Yu, Hanchen Zhang, et al.2023 · 432 citations
  58. WebArena: A Realistic Web Environment for Building Autonomous AgentsarXiv:2307.13854Shuyan Zhou, Frank F. Xu, Hao Zhu, et al.2023 · 432 citations
  59. Kimi k1.5: Scaling Reinforcement Learning with LLMsarXiv:2501.12599Kimi Team, Angang Du, Bofei Gao, et al.2025 · 431 citations
  60. Benchmarking Retrieval-Augmented Generation for MedicineFindings of the Association for Computational LinguisticsGuangzhi Xiong, Qiao Jin, Zhiyong Lu, et al.2024 · 430 citations
  61. C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation ModelsarXiv:2305.08322Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, et al.2023 · 428 citations
  62. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video AnalysisIEEE Computer Society Conference on Computer Vision and Pattern RecognitionChaoyou Fu, Yuhan Dai, Yongdong Luo, et al.2024 · 427 citations
  63. mPLUG-Owl: Modularization Empowers Large Language Models with MultimodalityarXiv:2304.14178Qinghao Ye, Haiyang Xu, Guohai Xu, et al.2023 · 427 citations
  64. Controllable Abstractive SummarizationWorkshop on Neural Machine Translation and GenerationAngela Fan, David Grangier, Michael Auli2018 · 427 citations
  65. Generating Sentences by Editing PrototypesTransactions of the Association for Computational Linguistics (TACL)Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, et al.2017 · 425 citations
  66. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
  67. Unsupervised Neural Machine TranslationarXiv:1710.11041Mikel Artetxe, Gorka Labaka, Eneko Agirre, et al.2017 · 424 citations
  68. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
  69. MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaao Chen, Zichao Yang, Diyi Yang2020 · 417 citations
  70. Weight Poisoning Attacks on Pretrained ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Keita Kurita, Paul Michel, Graham Neubig2020 · 416 citations
  71. Whose Opinions Do Language Models Reflect?arXiv:2303.17548Shibani Santurkar, Esin Durmus, Faisal Ladhak, et al.2023 · 414 citations
  72. Long Range Arena: A Benchmark for Efficient TransformersarXiv:2011.04006Yi Tay, Mostafa Dehghani, Samira Abnar, et al.2020 · 414 citations
  73. 75 Languages, 1 Model: Parsing Universal Dependencies UniversallyDan Kondratyuk, Milan Straka2019 · 414 citations
  74. Large Language Models as OptimizersarXiv:2309.03409Chengrun Yang, Xuezhi Wang, Yifeng Lu, et al.2023 · 413 citations
  75. Mind2Web: Towards a Generalist Agent for the WebConference on Neural Information Processing Systems (NeurIPS)Xiang Deng, Yu Gu, Boyuan Zheng, et al.2023 · 413 citations
  76. Large Language Models Cannot Self-Correct Reasoning YetarXiv:2310.01798Jie Huang, Xinyun Chen, Swaroop Mishra, et al.2023 · 412 citations
  77. 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
  78. Yi: Open Foundation Models by 01.AIarXiv:2403.04652Alex Young, Bei Chen, Chao Li, et al.2024 · 408 citations
  79. Do Prompt-Based Models Really Understand the Meaning of Their Prompts?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Albert Webson, Ellie Pavlick2022 · 407 citations
  80. UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianbao Xie, Chen Henry Wu, Peng Shi, et al.2022 · 407 citations
  81. How to Fine-Tune BERT for Text Classification?arXiv:1905.05583Chi Sun, Xipeng Qiu, Yige Xu, et al.2019 · 407 citations
  82. Large Language Models for Generative Information Extraction: A SurveyFrontiers of Computer ScienceDerong Xu, Wei Chen, Wenjun Peng, et al.2023 · 406 citations
  83. Improving the Domain Adaptation of Retrieval Augmented Generation (RAG) Models for Open Domain Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Shamane Siriwardhana, Rivindu Weerasekera, Elliott Wen, et al.2023 · 403 citations
  84. Enhancing Chat Language Models by Scaling High-quality Instructional ConversationsarXiv:2305.14233Ning Ding, Yulin Chen, Bokai Xu, et al.2023 · 402 citations
  85. FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUarXiv:2303.06865Ying Sheng, Lianmin Zheng, Binhang Yuan, et al.2023 · 402 citations
  86. Editing Models with Task ArithmeticarXiv:2212.04089Gabriel Ilharco, Marco Tulio Ribeiro, Mitchell Wortsman, et al.2022 · 402 citations
  87. DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-CorrectionConference on Neural Information Processing Systems (NeurIPS)Mohammadreza Pourreza, Davood Rafiei2023 · 401 citations
  88. RULER: What's the Real Context Size of Your Long-Context Language Models?arXiv:2404.06654Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, et al.2024 · 400 citations
  89. Llama Guard: LLM-based Input-Output Safeguard for Human-AI ConversationsarXiv:2312.06674Hakan Inan, Kartikeya Upasani, Jianfeng Chi, et al.2023 · 395 citations
  90. Retrieval Augmentation Reduces Hallucination in ConversationarXiv:2104.07567Kurt Shuster, Spencer Poff, Moya Chen, et al.2021 · 392 citations
  91. Decomposed Prompting: A Modular Approach for Solving Complex TasksInternational Conference on Learning Representations (ICLR)Tushar Khot, Harsh Trivedi, Matthew Finlayson, et al.2023 · 390 citations
  92. LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language ModelsarXiv:2308.11462Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Re; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; Enam Hoque; Faiz Surani; Frank Fagan; Galit Sarfaty; Gregory M. Dickinson; Haggai Porat; Jason Hegland; Jessica Wu; Joe Nudell; Joel Niklaus; John Nay; Jonathan H. Choi; Kevin Tobia; Margaret Hagan; Megan Ma; Michael Livermore; Nikon Rasumov-Rahe; Nils Holzenberger; Noam Kolt; Peter Henderson; Sean Rehaag; Sharad Goel; Shang Gao; Spencer Williams; Sunny Gandhi; Tom Zur; Varun Iyer;, Zehua Li2023 · 389 citations
  93. Evaluation of Text Generation: A SurveyarXiv:2006.14799Asli Celikyilmaz, Elizabeth Clark, Jianfeng Gao2020 · 388 citations
  94. CMMLU: Measuring massive multitask language understanding in ChinesearXiv:2306.09212Haonan Li, Yixuan Zhang, Fajri Koto, et al.2023 · 387 citations
  95. ETC: Encoding Long and Structured Inputs in TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Joshua Ainslie, Santiago Ontañón, Chris Alberti, et al.2020 · 386 citations
  96. Query Rewriting in Retrieval-Augmented Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xinbei Ma, Yeyun Gong, Pengcheng He, et al.2023 · 384 citations
  97. Large Language Models are Few-Shot Clinical Information ExtractorsConference on Empirical Methods in Natural Language Processing (EMNLP)Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.2022 · 384 citations
  98. A Dataset of Information-Seeking Questions and Answers Anchored in Research PapersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Pradeep Dasigi, Kyle Lo, Iz Beltagy, et al.2021 · 384 citations
  99. Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation SynergyarXiv:2305.15294Zhihong Shao, Yeyun Gong, Yelong Shen, et al.2023 · 383 citations
  100. Tool Learning with Foundation ModelsACM Computing SurveysYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 383 citations

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