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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 8 of 28 · 701–800 · ← Andrew Dai

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  1. Are aligned neural networks adversarially aligned?Conference on Neural Information Processing Systems (NeurIPS)Nicholas Carlini, Milad Nasr, Christopher A. Choquette-Choo, et al.2023 · 157 citations
  2. Lawyer LLaMA Technical ReportarXiv:2305.15062Quzhe Huang, Mingxu Tao, Chen Zhang, et al.2023 · 157 citations
  3. Locally Typical SamplingTransactions of the Association for Computational Linguistics (TACL)Clara Meister, Tiago Pimentel, Gian Wiher, et al.2023 · 157 citations
  4. Leveraging Large Language Models for Multiple Choice Question AnsweringarXiv:2210.12353Joshua Robinson, Christopher Michael Rytting, David Wingate2022 · 157 citations
  5. Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyi Tang, Wenyang Luo, Haoyang Huang, et al.2024 · 156 citations
  6. LayerSkip: Enabling Early Exit Inference and Self-Speculative DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Mostafa Elhoushi, Akshat Shrivastava, Diana Liskovich, et al.2024 · 156 citations
  7. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Justin Chen, Swarnadeep Saha, Mohit Bansal2024 · 156 citations
  8. Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not InnocentConference on Machine Translation (WMT)Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.2023 · 155 citations
  9. GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense RetrievalConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kexin Wang, Nandan Thakur, Nils Reimers, et al.2022 · 155 citations
  10. ROSCOE: A Suite of Metrics for Scoring Step-by-Step ReasoningarXiv:2212.07919Olga Golovneva, Moya Chen, Spencer Poff, et al.2022 · 155 citations
  11. ART: Automatic multi-step reasoning and tool-use for large language modelsarXiv:2303.09014Bhargavi Paranjape, Scott Lundberg, Sameer Singh, et al.2023 · 154 citations
  12. Ask Me Anything: A simple strategy for prompting language modelsarXiv:2210.02441Simran Arora, Avanika Narayan, Mayee F. Chen, et al.2022 · 154 citations
  13. LLM-based NLG Evaluation: Current Status and ChallengesComputational LinguisticsMingqi Gao, Xinyu Hu, Xunjian Yin, et al.2025 · 153 citations
  14. Iterative Reasoning Preference OptimizationConference on Neural Information Processing Systems (NeurIPS)Richard Yuanzhe Pang, Weizhe Yuan, Kyunghyun Cho, et al.2024 · 153 citations
  15. The Dawn After the Dark: An Empirical Study on Factuality Hallucination in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Junyi Li, Jie Chen, Ruiyang Ren, et al.2024 · 153 citations
  16. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsarXiv:2503.01743Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 152 citations
  17. BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and LanguagesConference on Neural Information Processing Systems (NeurIPS)Junho Myung, Nayeon Lee, Yi Zhou, et al.2024 · 152 citations
  18. Generative Verifiers: Reward Modeling as Next-Token PredictionarXiv:2408.15240Lunjun Zhang, Arian Hosseini, Hritik Bansal, et al.2024 · 152 citations
  19. AnnoLLM: Making Large Language Models to Be Better Crowdsourced AnnotatorsarXiv:2303.16854Xingwei He, Zhenghao Lin, Yeyun Gong, et al.2023 · 152 citations
  20. Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and MitigationarXiv:2305.15852Niels Mundler, Jingxuan He, Slobodan Jenko, et al.2023 · 152 citations
  21. How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelConference on Neural Information Processing Systems (NeurIPS)Michael Hanna, Ollie Liu, Alexandre Variengien2023 · 151 citations
  22. Generation-Augmented Retrieval for Open-domain Question AnsweringarXiv:2009.08553Yuning Mao, Pengcheng He, Xiaodong Liu, et al.2020 · 151 citations
  23. Searching for Best Practices in Retrieval-Augmented GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaohua Wang, Zhenghua Wang, Xuan Gao, et al.2024 · 150 citations
  24. M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Wenxuan Zhang, Sharifah Mahani Aljunied, Chang Gao, et al.2023 · 150 citations
  25. The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context LearningarXiv:2312.01552Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, et al.2023 · 150 citations
  26. Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos2019 · 150 citations
  27. Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhao Yu, Hongming Zhang, Xiaoman Pan, et al.2024 · 149 citations
  28. Evaluating Correctness and Faithfulness of Instruction-Following Models for Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Vaibhav Adlakha, Parishad BehnamGhader, Xing Han Lu, et al.2024 · 149 citations
  29. MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse LanguagesTransactions of the Association for Computational Linguistics (TACL)Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, et al.2023 · 149 citations
  30. RA-DIT: Retrieval-Augmented Dual Instruction TuningarXiv:2310.01352Xi Victoria Lin, Xilun Chen, Mingda Chen, et al.2023 · 149 citations
  31. Self-Evaluation Guided Beam Search for ReasoningConference on Neural Information Processing Systems (NeurIPS)Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, et al.2023 · 149 citations
  32. MineDojo: Building Open-Ended Embodied Agents with Internet-Scale KnowledgearXiv:2206.08853Linxi Fan, Guanzhi Wang, Yunfan Jiang, et al.2022 · 149 citations
  33. TALM: Tool Augmented Language ModelsarXiv:2205.12255Aaron Parisi, Yao Zhao, Noah Fiedel2022 · 149 citations
  34. Language Model Behavior: A Comprehensive SurveyComputational LinguisticsTyler A. Chang, Benjamin K. Bergen2024 · 148 citations
  35. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingarXiv:2406.08464Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 148 citations
  36. Context-faithful Prompting for Large Language ModelsFindings of the Association for Computational LinguisticsWenxuan Zhou, Sheng Zhang, Hoifung Poon, et al.2023 · 148 citations
  37. Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvaturearXiv:2310.05130Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.2023 · 148 citations
  38. Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and EvaluationFindings of the Association for Computational LinguisticsMarius Mosbach, Tiago Pimentel, Shauli Ravfogel, et al.2023 · 148 citations
  39. Instruction Induction: From Few Examples to Natural Language Task DescriptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Or Honovich, Uri Shaham, Samuel R. Bowman, et al.2022 · 148 citations
  40. Beyond Human Data: Scaling Self-Training for Problem-Solving with Language ModelsarXiv:2312.06585Avi Singh, John D. Co-Reyes, Rishabh Agarwal, et al.2023 · 147 citations
  41. GPT4Tools: Teaching Large Language Model to Use Tools via Self-instructionConference on Neural Information Processing Systems (NeurIPS)Rui Yang, Lin Song, Yanwei Li, et al.2023 · 147 citations
  42. Text Embeddings Reveal (Almost) As Much As TextConference on Empirical Methods in Natural Language Processing (EMNLP)John Morris, Volodymyr Kuleshov, Vitaly Shmatikov, et al.2023 · 147 citations
  43. ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool EmbeddingsConference on Neural Information Processing Systems (NeurIPS)Shibo Hao, Tianyang Liu, Zhen Wang, et al.2023 · 147 citations
  44. Is GPT-3 a Good Data Annotator?arXiv:2212.10450Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 147 citations
  45. UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question AnsweringFindings of the Association for Computational LinguisticsBarlas Oguz, Xilun Chen, Vladimir Karpukhin, et al.2022 · 147 citations
  46. Neural Net Models of Open-domain Discourse CoherenceConference on Empirical Methods in Natural Language Processing (EMNLP)Jiwei Li, Dan Jurafsky2017 · 147 citations
  47. GPT-4V(ision) is a Generalist Web Agent, if GroundedarXiv:2401.01614Boyuan Zheng, Boyu Gou, Jihyung Kil, et al.2024 · 146 citations
  48. Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative DecodingFindings of the Association for Computational LinguisticsHeming Xia, Zhe Yang, Qingxiu Dong, et al.2024 · 146 citations
  49. Fact-Checking Complex Claims with Program-Guided ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Liangming Pan, Xiaobao Wu, Xinyuan Lu, et al.2023 · 146 citations
  50. PMC-LLaMA: Towards Building Open-source Language Models for MedicinearXiv:2304.14454Chaoyi Wu, Weixiong Lin, Xiaoman Zhang, et al.2023 · 146 citations
  51. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
  52. Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
  53. JudgeLM: Fine-tuned Large Language Models are Scalable JudgesarXiv:2310.17631Lianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 145 citations
  54. Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Ruochen Zhao, Xingxuan Li, Shafiq Joty, et al.2023 · 145 citations
  55. RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-EncoderConference on Empirical Methods in Natural Language Processing (EMNLP)Shitao Xiao, Zheng Liu, Yingxia Shao, et al.2022 · 145 citations
  56. TopiOCQA: Open-domain Conversational Question Answering with Topic SwitchingTransactions of the Association for Computational Linguistics (TACL)Vaibhav Adlakha, Shehzaad Dhuliawala, Kaheer Suleman, et al.2022 · 145 citations
  57. MiniLLM: On-Policy Distillation of Large Language ModelsarXiv:2306.08543Yuxian Gu, Li Dong, Furu Wei, et al.2023 · 144 citations
  58. SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked PrefillsarXiv 2023Amey Agrawal, Ashish Panwar, Jayashree Mohan, et al.2023 · 144 citations
  59. Efficient Training of Language Models to Fill in the MiddlearXiv:2207.14255Mohammad Bavarian, Heewoo Jun, Nikolas Tezak, et al.2022 · 144 citations
  60. Iteratively Prompt Pre-trained Language Models for Chain of ThoughtConference on Empirical Methods in Natural Language Processing (EMNLP)Boshi Wang, Xiang Deng, Huan Sun2022 · 144 citations
  61. Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Ji Ma, Ivan Korotkov, Yinfei Yang, et al.2021 · 144 citations
  62. A Roadmap to Pluralistic AlignmentarXiv:2402.05070Taylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 143 citations
  63. A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence GenerationarXiv:2307.03987Neeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu2023 · 143 citations
  64. Rethinking with Retrieval: Faithful Large Language Model InferencearXiv:2301.00303Hangfeng He, Hongming Zhang, Dan Roth2023 · 143 citations
  65. Understanding the Effects of RLHF on LLM Generalisation and DiversityarXiv:2310.06452Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, et al.2023 · 143 citations
  66. Unifying Human and Statistical Evaluation for Natural Language GenerationarXiv:1904.02792Tatsunori B. Hashimoto, Hugh Zhang, Percy Liang2019 · 143 citations
  67. Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse AttentionarXiv:2502.11089Jingyang Yuan, Huazuo Gao, Damai Dai, et al.2025 · 142 citations
  68. Dense X Retrieval: What Retrieval Granularity Should We Use?Conference on Empirical Methods in Natural Language Processing (EMNLP)Tong Chen, Hongwei Wang, Sihao Chen, et al.2024 · 142 citations
  69. Many-Shot In-Context LearningConference on Neural Information Processing Systems (NeurIPS)Rishabh Agarwal, Avi Singh, Lei M. Zhang, et al.2024 · 142 citations
  70. PaliGemma: A versatile 3B VLM for transferarXiv:2407.07726Lucas Beyer, Andreas Steiner, Andre Susano Pinto, et al.2024 · 142 citations
  71. Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and BeyondIEEE Transactions on Knowledge and Data EngineeringFangzhi Xu, Qika Lin, Jiawei Han, et al.2023 · 142 citations
  72. Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and FaithfulnessarXiv:2304.11633Bo Li, Gexiang Fang, Yang Yang, et al.2023 · 142 citations
  73. LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation TasksarXiv:2406.18403Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al.2024 · 141 citations
  74. DeepInception: Hypnotize Large Language Model to Be JailbreakerarXiv:2311.03191Xuan Li, Zhanke Zhou, Jianing Zhu, et al.2023 · 141 citations
  75. Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and DiscoveryConference on Neural Information Processing Systems (NeurIPS)Yuxin Wen, Neel Jain, John Kirchenbauer, et al.2023 · 141 citations
  76. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language FeedbackarXiv:2309.10691Xingyao Wang, Zihan Wang, Jiateng Liu, et al.2023 · 141 citations
  77. Retrieval-based Language Models and ApplicationsAnnual Meeting of the Association for Computational Linguistics (ACL)Akari Asai, Sewon Min, Zexuan Zhong, et al.2023 · 141 citations
  78. SLiC-HF: Sequence Likelihood Calibration with Human FeedbackarXiv:2305.10425Yao Zhao, Rishabh Joshi, Tianqi Liu, et al.2023 · 141 citations
  79. Beat the AI: Investigating Adversarial Human Annotation for Reading ComprehensionTransactions of the Association for Computational Linguistics (TACL)Max Bartolo, Alastair Roberts, Johannes Welbl, et al.2020 · 141 citations
  80. Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey DesignTransactions of the Association for Computational Linguistics (TACL)Lindia Tjuatja, Valerie Chen, Tongshuang Wu, et al.2024 · 140 citations
  81. MLVU: Benchmarking Multi-task Long Video UnderstandingIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJunjie Zhou, Yan Shu, Bo Zhao, et al.2024 · 140 citations
  82. Symbolic Chain-of-Thought Distillation: Small Models Can Also “Think” Step-by-StepAnnual Meeting of the Association for Computational Linguistics (ACL)Liunian Harold Li, Jack Hessel, Youngjae Yu, et al.2023 · 140 citations
  83. Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-CollaborationarXiv:2307.05300Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, et al.2023 · 140 citations
  84. UER: An Open-Source Toolkit for Pre-training ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhe Zhao, Hui Chen, Jinbin Zhang, et al.2019 · 140 citations
  85. Self-Alignment with Instruction BacktranslationarXiv:2308.06259Xian Li, Ping Yu, Chunting Zhou, et al.2023 · 139 citations
  86. ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yujia Qin, Yankai Lin, Ryuichi Takanobu, et al.2021 · 139 citations
  87. Long-context LLMs Struggle with Long In-context LearningarXiv:2404.02060Tianle Li, Ge Zhang, Quy Duc Do, et al.2024 · 138 citations
  88. Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse ModelsarXiv:2404.18796Pat Verga, Sebastian Hofstatter, Sophia Althammer, et al.2024 · 138 citations
  89. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningarXiv:2409.12183Zayne Sprague, Fangcong Yin, Juan Diego Rodriguez, et al.2024 · 138 citations
  90. Theory of Mind for Multi-Agent Collaboration via Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Huao Li, Yu Chong, Simon Stepputtis, et al.2023 · 138 citations
  91. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language ModelsarXiv:2212.08037Bernd Bohnet, Vinh Q. Tran, Pat Verga, et al.2022 · 138 citations
  92. DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal UnderstandingarXiv:2412.10302Zhiyu Wu, Xiaokang Chen, Zizheng Pan, et al.2024 · 137 citations
  93. DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Weihang Su, Yichen Tang, Qingyao Ai, et al.2024 · 137 citations
  94. Investigating Data Contamination in Modern Benchmarks for Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chunyuan Deng, Yilun Zhao, Xiangru Tang, et al.2024 · 137 citations
  95. RAFT: Adapting Language Model to Domain Specific RAGarXiv:2403.10131Tianjun Zhang, Shishir G. Patil, Naman Jain, et al.2024 · 137 citations
  96. Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4VarXiv:2310.11441Jianwei Yang, Hao Zhang, Feng Li, et al.2023 · 137 citations
  97. Extracting Latent Steering Vectors from Pretrained Language ModelsFindings of the Association for Computational LinguisticsNishant Subramani, Nivedita Suresh, Matthew Peters2022 · 137 citations
  98. Decontextualization: Making Sentences Stand-AloneTransactions of the Association for Computational Linguistics (TACL)Eunsol Choi, Jennimaria Palomaki, Matthew Lamm, et al.2021 · 137 citations
  99. Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language ModelsFindings of the Association for Computational LinguisticsQingyu Lu, Baopu Qiu, Liang Ding, et al.2024 · 136 citations
  100. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsFindings of the Association for Computational LinguisticsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 136 citations

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