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Who cites Daniel Selsam

11,840 citations of their works from 11,531 papers of our library (of the 149,439 whose bibliographies we read) · 2,589 with a page here, the most cited first · page 8 of 26 · 701–800 · ← Daniel Selsam

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  1. On Prompt-Driven Safeguarding for Large Language ModelsarXiv:2401.18018Chujie Zheng, Fan Yin, Hao Zhou, et al.2024 · 85 citations
  2. OpenMathInstruct-2: Accelerating AI for Math with Massive Open-Source Instruction DataarXiv:2410.01560Shubham Toshniwal, Wei Du, Ivan Moshkov, et al.2024 · 85 citations
  3. SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural ReasoningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bin Wang, Zhengyuan Liu, Xin Huang, et al.2024 · 85 citations
  4. A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models EasilyarXiv:2311.08268Peng Ding, Jun Kuang, Dan Ma, et al.2023 · 85 citations
  5. BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language ModelsarXiv:2306.10968Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, et al.2023 · 85 citations
  6. Simulating Classroom Education with LLM-Empowered AgentsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu, et al.2025 · 84 citations
  7. Detoxifying Large Language Models via Knowledge EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Mengru Wang, Ningyu Zhang, Ziwen Xu, et al.2024 · 84 citations
  8. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationTransactions of the Association for Computational Linguistics (TACL)Patrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
  9. Formalizing and Benchmarking Prompt Injection Attacks and DefensesarXiv:2310.12815Yupei Liu, Yuqi Jia, Runpeng Geng, et al.2023 · 84 citations
  10. ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper ReviewingarXiv:2306.00622Ryan Liu, Nihar B. Shah2023 · 84 citations
  11. PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human PreferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaming Ji, Donghai Hong, Borong Zhang, et al.2025 · 83 citations
  12. Improving Alignment and Robustness with Circuit BreakersConference on Neural Information Processing Systems (NeurIPS)Andy Zou, Long Phan, Justin Wang, et al.2024 · 83 citations
  13. Large Language Model Instruction Following: A Survey of Progresses and ChallengesComputational LinguisticsRenze Lou, Kai Zhang, Wenpeng Yin2024 · 83 citations
  14. The Instruction Hierarchy: Training LLMs to Prioritize Privileged InstructionsarXiv:2404.13208Eric Wallace, Kai Xiao, Reimar Leike, et al.2024 · 83 citations
  15. Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal ModelarXiv:2408.11039Chunting Zhou, Lili Yu, Arun Babu, et al.2024 · 83 citations
  16. PRD: Peer Rank and Discussion Improve Large Language Model based EvaluationsarXiv:2307.02762Ruosen Li, Teerth Patel, Xinya Du2023 · 83 citations
  17. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
  18. HalluLens: LLM Hallucination BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Yejin Bang, Ziwei Ji, Alan Schelten, et al.2025 · 82 citations
  19. AndroidWorld: A Dynamic Benchmarking Environment for Autonomous AgentsarXiv:2405.14573Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, et al.2024 · 82 citations
  20. HelpSteer2: Open-source dataset for training top-performing reward modelsarXiv:2406.08673Zhilin Wang, Yi Dong, Olivier Delalleau, et al.2024 · 82 citations
  21. Is Self-Repair a Silver Bullet for Code Generation?arXiv:2306.09896Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, et al.2024 · 82 citations
  22. MART: Improving LLM Safety with Multi-round Automatic Red-TeamingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Suyu Ge, Chunting Zhou, Rui Hou, et al.2024 · 82 citations
  23. Smaug: Fixing Failure Modes of Preference Optimisation with DPO-PositivearXiv:2402.13228Arka Pal, Deep Karkhanis, Samuel Dooley, et al.2024 · 82 citations
  24. Does Writing with Language Models Reduce Content Diversity?arXiv:2309.05196Vishakh Padmakumar, He He2023 · 82 citations
  25. Style Over Substance: Evaluation Biases for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Minghao Wu, Alham Fikri Aji2025 · 81 citations
  26. DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-SolvingarXiv:2407.13690Yuxuan Tong, Xiwen Zhang, Rui Wang, et al.2024 · 81 citations
  27. You Only Look at Screens: Multimodal Chain-of-Action AgentsFindings of the Association for Computational LinguisticsZhuosheng Zhang, Aston Zhang2024 · 81 citations
  28. Analyzing the Performance of GPT-3.5 and GPT-4 in Grammatical Error CorrectionarXiv:2303.14342Steven Coyne, Keisuke Sakaguchi, Diana Galvan-Sosa, et al.2023 · 81 citations
  29. Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language ModelsarXiv:2307.14539Erfan Shayegani, Yue Dong, Nael Abu-Ghazaleh2023 · 81 citations
  30. Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with CharactersFindings of the Association for Computational LinguisticsNuo Chen, Yan Wang, Haiyun Jiang, et al.2023 · 81 citations
  31. MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to UsearXiv:2310.03128Yue Huang, Jiawen Shi, Yuan Li, et al.2023 · 81 citations
  32. AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Harsh Trivedi, Tushar Khot, Mareike Hartmann, et al.2024 · 80 citations
  33. Lean Workbook: A large-scale Lean problem set formalized from natural language math problemsConference on Neural Information Processing Systems (NeurIPS)Huaiyuan Ying, Zijian Wu, Yihan Geng, et al.2024 · 80 citations
  34. Toward Self-Improvement of LLMs via Imagination, Searching, and CriticizingConference on Neural Information Processing Systems (NeurIPS)Ye Tian, Baolin Peng, Linfeng Song, et al.2024 · 80 citations
  35. S-LoRA: Serving Thousands of Concurrent LoRA AdaptersMLSys 2024Ying Sheng, Shiyi Cao, Dacheng Li, et al.2023 · 80 citations
  36. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
  37. AutoRE: Document-Level Relation Extraction with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lilong Xue, Dan Zhang, Yuxiao Dong, et al.2024 · 79 citations
  38. Common 7B Language Models Already Possess Strong Math CapabilitiesarXiv:2403.04706Chen Li, Weiqi Wang, Jingcheng Hu, et al.2024 · 79 citations
  39. Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought ReasoningFindings of the Association for Computational LinguisticsDebjit Paul, Robert West, Antoine Bosselut, et al.2024 · 79 citations
  40. Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and OpportunitiesarXiv:2408.07666Enneng Yang, Li Shen, Guibing Guo, et al.2024 · 79 citations
  41. Tuning Language Models by ProxyarXiv:2401.08565Alisa Liu, Xiaochuang Han, Yizhong Wang, et al.2024 · 79 citations
  42. LEGO-Prover: Neural Theorem Proving with Growing LibrariesarXiv:2310.00656Haiming Wang, Huajian Xin, Chuanyang Zheng, et al.2023 · 79 citations
  43. Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention MapsConference on Empirical Methods in Natural Language Processing (EMNLP)Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, et al.2024 · 78 citations
  44. Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMsarXiv:2308.13387Yuxia Wang, Haonan Li, Xudong Han, et al.2023 · 78 citations
  45. AudioBench: A Universal Benchmark for Audio Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bin Wang, Xunlong Zou, Geyu Lin, et al.2025 · 77 citations
  46. Knowledge Graph Retrieval-Augmented Generation for LLM-based RecommendationAnnual Meeting of the Association for Computational Linguistics (ACL)Shijie Wang, Wenqi Fan, Yue Feng, et al.2025 · 77 citations
  47. LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Haitao Li, You Chen, Qingyao Ai, et al.2024 · 77 citations
  48. Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing ExaminationsarXiv:2303.18027Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, et al.2023 · 77 citations
  49. SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-ScalingarXiv:2312.15166Dahyun Kim, Chanjun Park, Sanghoon Kim, et al.2023 · 77 citations
  50. Time-LLM: Time Series Forecasting by Reprogramming Large Language ModelsarXiv:2310.01728Ming Jin, Shiyu Wang, Lintao Ma, et al.2023 · 77 citations
  51. Explanation-Based Human Debugging of NLP Models: A SurveyTransactions of the Association for Computational Linguistics (TACL)Piyawat Lertvittayakumjorn, Francesca Toni2021 · 77 citations
  52. KMMLU: Measuring Massive Multitask Language Understanding in KoreanConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Guijin Son, Hanwool Lee, Sungdong Kim, et al.2025 · 76 citations
  53. TTRL: Test-Time Reinforcement LearningConference on Neural Information Processing Systems (NeurIPS)Yuxin Zuo, Kaiyan Zhang, Li Sheng, et al.2025 · 76 citations
  54. Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model EvaluatorsarXiv:2403.16950Yinhong Liu, Han Zhou, Zhijiang Guo, et al.2024 · 76 citations
  55. MARG: Multi-Agent Review Generation for Scientific PapersarXiv:2401.04259Mike D'Arcy, Tom Hope, Larry Birnbaum, et al.2024 · 76 citations
  56. Self-Preference Bias in LLM-as-a-JudgearXiv:2410.21819Koki Wataoka, Tsubasa Takahashi, Ryokan Ri2024 · 76 citations
  57. Self-Reflection in LLM Agents: Effects on Problem-Solving PerformancearXiv:2405.06682 · 2nd International Conference on Foundation and Large Language Models (FLLM 2024), pp. 476-483Matthew Renze, Erhan Guven2024 · 76 citations
  58. G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language ModelarXiv:2312.11370Jiahui Gao, Renjie Pi, Jipeng Zhang, et al.2023 · 76 citations
  59. Lift Yourself Up: Retrieval-augmented Text Generation with Self MemoryConference on Neural Information Processing Systems (NeurIPS)Xin Cheng, Di Luo, Xiuying Chen, et al.2023 · 76 citations
  60. Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief TrackerAnnual Meeting of the Association for Computational Linguistics (ACL)Melanie Sclar, Sachin Kumar, Peter West, et al.2023 · 76 citations
  61. Benchmarking Large Language Models on Answering and Explaining Challenging Medical QuestionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hanjie Chen, Zhouxiang Fang, Yash Singla, et al.2025 · 75 citations
  62. MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Xuan, Rui Yang, Heli Qi, et al.2025 · 75 citations
  63. GPTEval: A Survey on Assessments of ChatGPT and GPT-4Language Resources and Evaluation Conference (LREC)Rui Mao, Guanyi Chen, Xulang Zhang, et al.2024 · 75 citations
  64. Multilingual Large Language Model: A Survey of Resources, Taxonomy and FrontiersarXiv:2404.04925Libo Qin, Qiguang Chen, Yuhang Zhou, et al.2024 · 75 citations
  65. SciCode: A Research Coding Benchmark Curated by ScientistsConference on Neural Information Processing Systems (NeurIPS)Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, et al.2024 · 75 citations
  66. Self-Contrast: Better Reflection Through Inconsistent Solving PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqi Zhang, Yongliang Shen, Linjuan Wu, et al.2024 · 75 citations
  67. Small Language Models Learn Enhanced Reasoning Skills from Medical TextbooksarXiv:2404.00376Hyunjae Kim, Hyeon Hwang, Jiwoo Lee, et al.2024 · 75 citations
  68. CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language ModelsFindings of the Association for Computational LinguisticsCheng Qian, Chi Han, Yi Fung, et al.2023 · 75 citations
  69. Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text IntegrationarXiv:2306.09093Chenyang Lyu, Minghao Wu, Longyue Wang, et al.2023 · 75 citations
  70. Reinforcement Learning via Self-DistillationarXiv:2601.20802Jonas Hubotter, Frederike Lubeck, Lejs Behric, et al.2026 · 74 citations
  71. Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural DimensionsInternational Conference on Computational Linguistics (COLING)Reem I. Masoud, Ziquan Liu, Martin Ferianc, et al.2025 · 74 citations
  72. Dynamic Early Exit in Reasoning ModelsarXiv:2504.15895Chenxu Yang, Qingyi Si, Yongjie Duan, et al.2025 · 74 citations
  73. Training Language Models to Reason EfficientlyConference on Neural Information Processing Systems (NeurIPS)Daman Arora, Andrea Zanette2025 · 74 citations
  74. INCLUDE: Evaluating Multilingual Language Understanding with Regional KnowledgearXiv:2411.19799Angelika Romanou, Negar Foroutan, Anna Sotnikova, et al.2024 · 74 citations
  75. Is LLM a Reliable Reviewer? A Comprehensive Evaluation of LLM on Automatic Paper Reviewing TasksLanguage Resources and Evaluation Conference (LREC)Ruiyang Zhou, Lu Chen, Kai Yu2024 · 74 citations
  76. MANTIS: Interleaved Multi-Image Instruction TuningTransactions on Machine Learning ResearchDongfu Jiang, Xuan He, Huaye Zeng, et al.2024 · 74 citations
  77. MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical ReasoningConference on Neural Information Processing Systems (NeurIPS)Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, et al.2024 · 74 citations
  78. Self-Taught EvaluatorsarXiv:2408.02666Tianlu Wang, Ilia Kulikov, Olga Golovneva, et al.2024 · 74 citations
  79. When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model LeaderboardsarXiv:2402.01781Norah Alzahrani, Hisham Abdullah Alyahya, Yazeed Alnumay, et al.2024 · 74 citations
  80. AlignBench: Benchmarking Chinese Alignment of Large Language ModelsarXiv:2311.18743Xiao Liu, Xuanyu Lei, Shengyuan Wang, et al.2023 · 74 citations
  81. Cumulative Reasoning with Large Language ModelsarXiv:2308.04371Yifan Zhang, Jingqin Yang, Yang Yuan, et al.2023 · 74 citations
  82. Large Language Models as Analogical ReasonersarXiv:2310.01714Michihiro Yasunaga, Xinyun Chen, Yujia Li, et al.2023 · 74 citations
  83. MuSR: Testing the Limits of Chain-of-thought with Multistep Soft ReasoningInternational Conference on Learning Representations (ICLR)Zayne Sprague, Xi Ye, Kaj Bostrom, et al.2023 · 74 citations
  84. Rubrics as Rewards: Reinforcement Learning Beyond Verifiable DomainsarXiv:2507.17746Anisha Gunjal, Anthony Wang, Elaine Lau, et al.2025 · 73 citations
  85. Benchmarking Benchmark Leakage in Large Language ModelsarXiv:2404.18824Ruijie Xu, Zengzhi Wang, Run-Ze Fan, et al.2024 · 73 citations
  86. TACO: Topics in Algorithmic COde generation datasetarXiv:2312.14852Rongao Li, Jie Fu, Bo-Wen Zhang, et al.2023 · 73 citations
  87. WebThinker: Empowering Large Reasoning Models with Deep Research CapabilityConference on Neural Information Processing Systems (NeurIPS)Xiaoxi Li, Jiajie Jin, Guanting Dong, et al.2025 · 72 citations
  88. Black-Box Prompt Optimization: Aligning Large Language Models without Model TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Jiale Cheng, Xiao Liu, Kehan Zheng, et al.2024 · 72 citations
  89. Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QAConference on Empirical Methods in Natural Language Processing (EMNLP)Minzheng Wang, Longze Chen, Fu Cheng, et al.2024 · 72 citations
  90. Towards Safer Large Language Models through Machine UnlearningFindings of the Association for Computational LinguisticsZheyuan Liu, Guangyao Dou, Zhaoxuan Tan, et al.2024 · 72 citations
  91. VeriScore: Evaluating the factuality of verifiable claims in long-form text generationFindings of the Association for Computational LinguisticsYixiao Song, Yekyung Kim, Mohit Iyyer2024 · 72 citations
  92. Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning PerformancearXiv:2305.17306Yao Fu, Litu Ou, Mingyu Chen, et al.2023 · 72 citations
  93. Physics of Language Models: Part 3.2, Knowledge ManipulationarXiv:2309.14402Zeyuan Allen-Zhu, Yuanzhi Li2023 · 72 citations
  94. Skeleton-of-Thought: Prompting LLMs for Efficient Parallel GenerationarXiv:2307.15337Xuefei Ning, Zinan Lin, Zixuan Zhou, et al.2023 · 72 citations
  95. Unveiling the Implicit Toxicity in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaxin Wen, Pei Ke, Hao Sun, et al.2023 · 72 citations
  96. (Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary TextsTransactions of the Association for Computational Linguistics (TACL)Minghao Wu, Jiahao Xu, Yulin Yuan, et al.2025 · 71 citations
  97. Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-JudgeInternational Joint Conference on Natural Language Processing (IJCNLP)Lin Shi, Chiyu Ma, Wenhua Liang, et al.2025 · 71 citations
  98. Calibrating LLM-Based EvaluatorLanguage Resources and Evaluation Conference (LREC)Yuxuan Liu, Tianchi Yang, Shaohan Huang, et al.2024 · 71 citations
  99. LLMs Assist NLP Researchers: Critique Paper (Meta-)ReviewingConference on Empirical Methods in Natural Language Processing (EMNLP)Jiangshu Du, Yibo Wang, Wenting Zhao, et al.2024 · 71 citations
  100. Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive TasksConference on Neural Information Processing Systems (NeurIPS)Minki Kang, Seanie Lee, Jinheon Baek, et al.2023 · 71 citations

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