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Who cites Michele Catasta

3,880 citations of their works from 3,615 papers of our library (of the 149,439 whose bibliographies we read) · 1,001 with a page here, the most cited first · page 5 of 11 · 401–500 · ← Michele Catasta

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  1. The Alignment Problem from a Deep Learning PerspectivearXiv:2209.00626Richard Ngo, Lawrence Chan, Soren Mindermann2022 · 121 citations
  2. AlphaMath Almost Zero: Process Supervision without ProcessConference on Neural Information Processing Systems (NeurIPS)Guoxin Chen, Minpeng Liao, Chengxi Li, et al.2024 · 120 citations
  3. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
  4. Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated TextarXiv:2401.12070Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, et al.2024 · 120 citations
  5. A Real-World WebAgent with Planning, Long Context Understanding, and Program SynthesisarXiv:2307.12856Izzeddin Gur, Hiroki Furuta, Austin Huang, et al.2023 · 120 citations
  6. Explanations from Large Language Models Make Small Reasoners BetterarXiv:2210.06726Shiyang Li, Jianshu Chen, Yelong Shen, et al.2022 · 120 citations
  7. SaulLM-7B: A pioneering Large Language Model for LawarXiv:2403.03883Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, et al.2024 · 119 citations
  8. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringarXiv:2306.04136Jinheon Baek, Alham Fikri Aji, Amir Saffari2023 · 119 citations
  9. RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and GenerationarXiv:2303.12570Fengji Zhang, Bei Chen, Yue Zhang, et al.2023 · 119 citations
  10. MapCoder: Multi-Agent Code Generation for Competitive Problem SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Md. Ashraful Islam, Mohammed Eunus Ali, Md Rizwan Parvez2024 · 118 citations
  11. A Length-Extrapolatable TransformerAnnual Meeting of the Association for Computational Linguistics (ACL)Yutao Sun, Li Dong, Barun Patra, et al.2023 · 118 citations
  12. Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation ExtractorsFindings of the Association for Computational LinguisticsKai Zhang, Bernal Jimenez Gutierrez, Yu Su2023 · 118 citations
  13. MetricX-23: The Google Submission to the WMT 2023 Metrics Shared TaskConference on Machine Translation (WMT)Juraj Juraska, Mara Finkelstein, Daniel Deutsch, et al.2023 · 118 citations
  14. Platypus: Quick, Cheap, and Powerful Refinement of LLMsarXiv:2308.07317Ariel N. Lee, Cole J. Hunter, Nataniel Ruiz2023 · 117 citations
  15. Mixture-of-Agents Enhances Large Language Model CapabilitiesarXiv:2406.04692Junlin Wang, Jue Wang, Ben Athiwaratkun, et al.2024 · 116 citations
  16. LMMs-Eval: Reality Check on the Evaluation of Large Multimodal ModelsFindings of the Association for Computational LinguisticsKaichen Zhang, Bo Li, Peiyuan Zhang, et al.2025 · 115 citations
  17. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
  18. GoLLIE: Annotation Guidelines improve Zero-Shot Information-ExtractionarXiv:2310.03668Oscar Sainz, Iker Garcia-Ferrero, Rodrigo Agerri, et al.2023 · 114 citations
  19. Ground-Truth Labels Matter: A Deeper Look into Input-Label DemonstrationsConference on Empirical Methods in Natural Language Processing (EMNLP)Kang Min Yoo, Junyeob Kim, Hyuhng Joon Kim, et al.2022 · 114 citations
  20. ALLaM: Large Language Models for Arabic and EnglisharXiv:2407.15390M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  21. Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical StudyFindings of the Association for Computational LinguisticsYi Chen, Rui Wang, Haiyun Jiang, et al.2023 · 113 citations
  22. AIR-Bench: Benchmarking Large Audio-Language Models via Generative ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Qian Yang, Jin Xu, Wenrui Liu, et al.2024 · 112 citations
  23. DistiLLM: Towards Streamlined Distillation for Large Language ModelsarXiv:2402.03898Jongwoo Ko, Sungnyun Kim, Tianyi Chen, et al.2024 · 112 citations
  24. Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous SourcesarXiv:2305.13269Xingxuan Li, Ruochen Zhao, Yew Ken Chia, et al.2023 · 112 citations
  25. Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption ContestAnnual Meeting of the Association for Computational Linguistics (ACL)Jack Hessel, Ana Marasovic, Jena D. Hwang, et al.2023 · 112 citations
  26. Don't Make Your LLM an Evaluation Benchmark CheaterarXiv:2311.01964Kun Zhou, Yutao Zhu, Zhipeng Chen, et al.2023 · 112 citations
  27. Generalized Planning in PDDL Domains with Pretrained Large Language ModelsProceedings of the AAAI Conference on Artificial IntelligenceTom Silver, Soham Dan, Kavitha Srinivas, et al.2023 · 112 citations
  28. Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?Conference on Empirical Methods in Natural Language Processing (EMNLP)Yang Chen, Hexiang Hu, Yi Luan, et al.2023 · 111 citations
  29. Better Zero-Shot Reasoning with Role-Play PromptingarXiv:2308.07702Aobo Kong, Shiwan Zhao, Hao Chen, et al.2023 · 110 citations
  30. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
  31. GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLPConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tawkat Islam Khondaker, Abdul Waheed, El Moatez Billah Nagoudi, et al.2023 · 110 citations
  32. Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-VerificationarXiv:2308.07921Aojun Zhou, Ke Wang, Zimu Lu, et al.2023 · 110 citations
  33. Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to SystemsACM Computing SurveysXupeng Miao, Gabriele Oliaro, Zhihao Zhang, et al.2023 · 110 citations
  34. CodeIE: Large Code Generation Models are Better Few-Shot Information ExtractorsAnnual Meeting of the Association for Computational Linguistics (ACL)Peng Li, Tianxiang Sun, Qiong Tang, et al.2023 · 109 citations
  35. PaperQA: Retrieval-Augmented Generative Agent for Scientific ResearcharXiv:2312.07559Jakub Lála, Odhran O'Donoghue, Aleksandar Shtedritski, et al.2023 · 109 citations
  36. Leveraging GPT-4 for Automatic Translation Post-EditingFindings of the Association for Computational LinguisticsVikas Raunak, Amr Sharaf, Yiren Wang, et al.2023 · 108 citations
  37. Nemotron-4 340B Technical ReportarXiv:2406.11704Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 107 citations
  38. Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?Annual Meeting of the Association for Computational Linguistics (ACL)Qineng Wang, Zihao Wang, Ying Su, et al.2024 · 107 citations
  39. Multi-Step Reasoning with Large Language Models, a SurveyACM Computing SurveysAske Plaat, Annie Wong, Suzan Verberne, et al.2024 · 106 citations
  40. Benchmarking Foundation Models with Language-Model-as-an-ExaminerConference on Neural Information Processing Systems (NeurIPS)Yushi Bai, Jiahao Ying, Yixin Cao, et al.2023 · 106 citations
  41. Complementary Explanations for Effective In-Context LearningFindings of the Association for Computational LinguisticsXi Ye, Srinivasan Iyer, Asli Celikyilmaz, et al.2023 · 106 citations
  42. TrueTeacher: Learning Factual Consistency Evaluation with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zorik Gekhman, Jonathan Herzig, Roee Aharoni, et al.2023 · 106 citations
  43. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
  44. Chain-of-Table: Evolving Tables in the Reasoning Chain for Table UnderstandingarXiv:2401.04398Zilong Wang, Hao Zhang, Chun-Liang Li, et al.2024 · 105 citations
  45. Inverse Scaling: When Bigger Isn't BetterarXiv:2306.09479 · Transactions on Machine Learning Research (TMLR), 10/2023, https://openreview.net/forum?id=DwgRm72GQFIan R. McKenzie, Alexander Lyzhov, Michael Pieler, et al.2023 · 105 citations
  46. LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale InstructionsarXiv:2304.14402Minghao Wu, Abdul Waheed, Chiyu Zhang, et al.2023 · 105 citations
  47. Statistical Rejection Sampling Improves Preference OptimizationarXiv:2309.06657Tianqi Liu, Yao Zhao, Rishabh Joshi, et al.2023 · 105 citations
  48. Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting EvidenceConference on Empirical Methods in Natural Language Processing (EMNLP)Hung-Ting Chen, Michael Zhang, Eunsol Choi2022 · 105 citations
  49. Chain of Agents: Large Language Models Collaborating on Long-Context TasksConference on Neural Information Processing Systems (NeurIPS)Yusen Zhang, Ruoxi Sun, Yanfei Chen, et al.2024 · 104 citations
  50. A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & ToxicityarXiv:2305.13169Shayne Longpre, Gregory Yauney, Emily Reif, et al.2023 · 104 citations
  51. PolyLM: An Open Source Polyglot Large Language ModelarXiv:2307.06018Xiangpeng Wei, Haoran Wei, Huan Lin, et al.2023 · 103 citations
  52. Rethinking Benchmark and Contamination for Language Models with Rephrased SamplesarXiv:2311.04850Shuo Yang, Wei-Lin Chiang, Lianmin Zheng, et al.2023 · 103 citations
  53. LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language ModelsInternational Conference on Learning Representations (ICLR)Gunho Park, Baeseong Park, Minsub Kim, et al.2022 · 103 citations
  54. FireAct: Toward Language Agent Fine-tuningarXiv:2310.05915Baian Chen, Chang Shu, Ehsan Shareghi, et al.2023 · 101 citations
  55. SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step ReasoningarXiv:2308.00436Ning Miao, Yee Whye Teh, Tom Rainforth2023 · 101 citations
  56. Rationale-Augmented Ensembles in Language ModelsarXiv:2207.00747Xuezhi Wang, Jason Wei, Dale Schuurmans, et al.2022 · 101 citations
  57. Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language ModelsFindings of the Association for Computational LinguisticsWeihang Su, Changyue Wang, Qingyao Ai, et al.2024 · 99 citations
  58. Answering Questions by Meta-Reasoning over Multiple Chains of ThoughtConference on Empirical Methods in Natural Language Processing (EMNLP)Ori Yoran, Tomer Wolfson, Ben Bogin, et al.2023 · 99 citations
  59. FELM: Benchmarking Factuality Evaluation of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Shiqi Chen, Yiran Zhao, Jinghan Zhang, et al.2023 · 99 citations
  60. MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningarXiv:2310.03731Ke Wang, Houxing Ren, Aojun Zhou, et al.2023 · 99 citations
  61. Sparse Upcycling: Training Mixture-of-Experts from Dense CheckpointsarXiv:2212.05055Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, et al.2022 · 98 citations
  62. A Survey of Confidence Estimation and Calibration in Large Language ModelsarXiv:2311.08298Jiahui Geng, Fengyu Cai, Yuxia Wang, et al.2023 · 97 citations
  63. Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank AdaptationarXiv:2305.15011Haonan Li, Fajri Koto, Minghao Wu, et al.2023 · 96 citations
  64. Teaching Algorithmic Reasoning via In-context LearningarXiv:2211.09066Hattie Zhou, Azade Nova, Hugo Larochelle, et al.2022 · 96 citations
  65. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
  66. InterCode: Standardizing and Benchmarking Interactive Coding with Execution FeedbackConference on Neural Information Processing Systems (NeurIPS)John Yang, Akshara Prabhakar, Karthik Narasimhan, et al.2023 · 95 citations
  67. WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human PreferencesACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Xiao Liu, Hanyu Lai, Hao Yu, et al.2023 · 95 citations
  68. Truncation Sampling as Language Model DesmoothingFindings of the Association for Computational LinguisticsJohn Hewitt, Christopher Manning, Percy Liang2022 · 95 citations
  69. Boosting Language Models Reasoning with Chain-of-Knowledge PromptingAnnual Meeting of the Association for Computational Linguistics (ACL)Jianing Wang, Qiushi Sun, Xiang Li, et al.2024 · 94 citations
  70. InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelarXiv:2401.16420Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 94 citations
  71. Moral Foundations of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Marwa Abdulhai, Gregory Serapio-García, Clement Crepy, et al.2024 · 94 citations
  72. Auto-GPT for Online Decision Making: Benchmarks and Additional OpinionsarXiv:2306.02224Hui Yang, Sifu Yue, Yunzhong He2023 · 94 citations
  73. LLMs Are Few-Shot In-Context Low-Resource Language LearnersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Samuel Cahyawijaya, Holy Lovenia, Pascale Fung2024 · 93 citations
  74. Foundation Models for Decision Making: Problems, Methods, and OpportunitiesarXiv:2303.04129Sherry Yang, Ofir Nachum, Yilun Du, et al.2023 · 92 citations
  75. Proving Test Set Contamination in Black Box Language ModelsarXiv:2310.17623Yonatan Oren, Nicole Meister, Niladri Chatterji, et al.2023 · 92 citations
  76. Universal Self-Consistency for Large Language Model GenerationarXiv:2311.17311Xinyun Chen, Renat Aksitov, Uri Alon, et al.2023 · 92 citations
  77. What's In My Big Data?arXiv:2310.20707Yanai Elazar, Akshita Bhagia, Ian Magnusson, et al.2023 · 92 citations
  78. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
  79. Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language ModelsarXiv:2306.08018Yin Fang, Xiaozhuan Liang, Ningyu Zhang, et al.2023 · 91 citations
  80. Skywork: A More Open Bilingual Foundation ModelarXiv:2310.19341Tianwen Wei, Liang Zhao, Lichang Zhang, et al.2023 · 91 citations
  81. InternLM-Math: Open Math Large Language Models Toward Verifiable ReasoningarXiv:2402.06332Huaiyuan Ying, Shuo Zhang, Linyang Li, et al.2024 · 90 citations
  82. Alignment for HonestyConference on Neural Information Processing Systems (NeurIPS)Yuqing Yang, Ethan Chern, Xipeng Qiu, et al.2023 · 90 citations
  83. Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable SurveyConference of the European Chapter of the Association for Computational Linguistics (EACL)Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, et al.2023 · 90 citations
  84. LAMBADA: Backward Chaining for Automated Reasoning in Natural LanguageAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Najoung Kim, Deepti Bhatia, et al.2023 · 89 citations
  85. The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual ContextsFindings of the Association for Computational LinguisticsLingfeng Shen, Weiting Tan, Sihao Chen, et al.2024 · 88 citations
  86. Large Language Models as General Pattern MachinesarXiv:2307.04721Suvir Mirchandani, Fei Xia, Pete Florence, et al.2023 · 88 citations
  87. MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code GenerationarXiv:2208.08227Federico Cassano, John Gouwar, Daniel Nguyen, et al.2022 · 88 citations
  88. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
  89. Rethinking Interpretability in the Era of Large Language ModelsarXiv:2402.01761Chandan Singh, Jeevana Priya Inala, Michel Galley, et al.2024 · 87 citations
  90. A Survey of Large Language Models in Medicine: Progress, Application, and ChallengearXiv:2311.05112Hongjian Zhou, Fenglin Liu, Boyang Gu, et al.2023 · 87 citations
  91. InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and CompositionarXiv:2309.15112Pan Zhang, Xiaoyi Dong, Bin Wang, et al.2023 · 87 citations
  92. REST: Retrieval-Based Speculative DecodingarXiv:2311.08252Zhenyu He; Zexuan Zhong; Tianle Cai; Jason D. Lee;, Di He2023 · 87 citations
  93. Complex Claim Verification with Evidence Retrieved in the WildConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jifan Chen, Grace Kim, Aniruddh Sriram, et al.2024 · 86 citations
  94. MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction TuningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, et al.2024 · 86 citations
  95. O1 Replication Journey: A Strategic Progress Report — Part 1arXiv:2410.18982Yiwei Qin, Xuefeng Li, Haoyang Zou, et al.2024 · 86 citations
  96. PromptNER: Prompting For Named Entity RecognitionarXiv:2305.15444Dhananjay Ashok, Zachary C. Lipton2023 · 86 citations
  97. Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?Findings of the Association for Computational LinguisticsYi Tay, Mostafa Dehghani, Samira Abnar, et al.2023 · 86 citations
  98. Solving Math Word Problems via Cooperative Reasoning induced Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyu Zhu, Junjie Wang, Lin Zhang, et al.2023 · 86 citations
  99. Multi-lingual Evaluation of Code Generation ModelsarXiv:2210.14868Ben Athiwaratkun, Sanjay Krishna Gouda, Zijian Wang, et al.2022 · 86 citations
  100. Benchmark Data Contamination of Large Language Models: A SurveyarXiv:2406.04244Cheng Xu, Shuhao Guan, Derek Greene, et al.2024 · 85 citations

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