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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 6 of 11 · 501–600 · ← Michele Catasta

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  1. LLMs cannot find reasoning errors, but can correct them given the error locationFindings of the Association for Computational LinguisticsGladys Tyen, Hassan Mansoor, Victor Carbune, et al.2024 · 85 citations
  2. 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
  3. 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
  4. Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOMarXiv:2303.01911Rachel Bawden, François Yvon2023 · 85 citations
  5. ReviewerGPT? An Exploratory Study on Using Large Language Models for Paper ReviewingarXiv:2306.00622Ryan Liu, Nihar B. Shah2023 · 84 citations
  6. Selectively Answering Ambiguous QuestionsConference on Empirical Methods in Natural Language Processing (EMNLP)Jeremy Cole, Michael Zhang, Daniel Gillick, et al.2023 · 84 citations
  7. Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD ExamplesConference on Neural Information Processing Systems (NeurIPS)Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, et al.2023 · 84 citations
  8. Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Gangwoo Kim, Sungdong Kim, Byeongguk Jeon, et al.2023 · 84 citations
  9. AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq ModelarXiv:2208.01448Saleh Soltan, Shankar Ananthakrishnan, Jack FitzGerald, et al.2022 · 84 citations
  10. 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
  11. Large Language Model Instruction Following: A Survey of Progresses and ChallengesComputational LinguisticsRenze Lou, Kai Zhang, Wenpeng Yin2024 · 83 citations
  12. Mitigating the Alignment Tax of RLHFConference on Empirical Methods in Natural Language Processing (EMNLP)Yong Lin, Hangyu Lin, Wei Xiong, et al.2024 · 83 citations
  13. LeXFiles and LegalLAMA: Facilitating English Multinational Legal Language Model DevelopmentAnnual Meeting of the Association for Computational Linguistics (ACL)Ilias Chalkidis, Nicolas Garneau, Catalina Goanta, et al.2023 · 83 citations
  14. ORCA: A Challenging Benchmark for Arabic Language UnderstandingFindings of the Association for Computational LinguisticsAbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed2023 · 83 citations
  15. 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
  16. CodeGemma: Open Code Models Based on GemmaarXiv:2406.11409CodeGemma Team: Heri Zhao, Jeffrey Hui, Joshua Howland, et al.2024 · 82 citations
  17. Is Self-Repair a Silver Bullet for Code Generation?arXiv:2306.09896Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, et al.2024 · 82 citations
  18. Smaug: Fixing Failure Modes of Preference Optimisation with DPO-PositivearXiv:2402.13228Arka Pal, Deep Karkhanis, Samuel Dooley, et al.2024 · 82 citations
  19. Multilingual LLMs are Better Cross-lingual In-context Learners with AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Eshaan Tanwar, Subhabrata Dutta, Manish Borthakur, et al.2023 · 82 citations
  20. OpenCoder: The Open Cookbook for Top-Tier Code Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Siming Huang, Tianhao Cheng, Jason Klein Liu, et al.2025 · 81 citations
  21. Style Over Substance: Evaluation Biases for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Minghao Wu, Alham Fikri Aji2025 · 81 citations
  22. DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-SolvingarXiv:2407.13690Yuxuan Tong, Xiwen Zhang, Rui Wang, et al.2024 · 81 citations
  23. You Only Look at Screens: Multimodal Chain-of-Action AgentsFindings of the Association for Computational LinguisticsZhuosheng Zhang, Aston Zhang2024 · 81 citations
  24. D4: Improving LLM Pretraining via Document De-Duplication and DiversificationConference on Neural Information Processing Systems (NeurIPS)Kushal Tirumala, Daniel Simig, Armen Aghajanyan, et al.2023 · 81 citations
  25. Talk like a Graph: Encoding Graphs for Large Language ModelsarXiv:2310.04560Bahare Fatemi, Jonathan Halcrow, Bryan Perozzi2023 · 81 citations
  26. Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attentionarXiv:2404.07143Tsendsuren Munkhdalai, Manaal Faruqui, Siddharth Gopal2024 · 80 citations
  27. Paths-over-Graph: Knowledge Graph Empowered Large Language Model ReasoningarXiv:2410.14211Xingyu Tan, Xiaoyang Wang, Qing Liu, et al.2024 · 80 citations
  28. PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language ModelsarXiv:2402.07867Wei Zou, Runpeng Geng, Binghui Wang, et al.2024 · 80 citations
  29. Mitigating Label Biases for In-context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Fei, Yifan Hou, Zeming Chen, et al.2023 · 80 citations
  30. S-LoRA: Serving Thousands of Concurrent LoRA AdaptersMLSys 2024Ying Sheng, Shiyi Cao, Dacheng Li, et al.2023 · 80 citations
  31. Out-of-Distribution Detection and Selective Generation for Conditional Language ModelsarXiv:2209.15558Jie Ren, Jiaming Luo, Yao Zhao, et al.2022 · 80 citations
  32. BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical TextarXiv:2403.18421Elliot Bolton, Abhinav Venigalla, Michihiro Yasunaga, et al.2024 · 79 citations
  33. Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and OpportunitiesarXiv:2408.07666Enneng Yang, Li Shen, Guibing Guo, et al.2024 · 79 citations
  34. LLaMA Beyond English: An Empirical Study on Language Capability TransferarXiv:2401.01055Jun Zhao, Zhihao Zhang, Luhui Gao, et al.2024 · 78 citations
  35. Language models are not naysayers: An analysis of language models on negation benchmarksJoint Conference on Lexical and Computational Semantics (*SEM)Thinh Hung Truong, Timothy Baldwin, Karin Verspoor, et al.2023 · 78 citations
  36. 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
  37. Solving Math Word Problems by Combining Language Models With Symbolic SolversarXiv:2304.09102Joy He-Yueya, Gabriel Poesia, Rose E. Wang, et al.2023 · 77 citations
  38. 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
  39. G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language ModelarXiv:2312.11370Jiahui Gao, Renjie Pi, Jipeng Zhang, et al.2023 · 76 citations
  40. 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
  41. Multilingual Large Language Model: A Survey of Resources, Taxonomy and FrontiersarXiv:2404.04925Libo Qin, Qiguang Chen, Yuhang Zhou, et al.2024 · 75 citations
  42. PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics CapabilitiesSettaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.2024 · 75 citations
  43. 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
  44. 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
  45. 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
  46. GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and BenchmarkingarXiv:2305.15066Jiayan Guo, Lun Du, Hengyu Liu, et al.2023 · 75 citations
  47. Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation LearningarXiv:2305.19523Xiaoxin He, Xavier Bresson, Thomas Laurent, et al.2023 · 75 citations
  48. 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
  49. 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
  50. Gecko: Versatile Text Embeddings Distilled from Large Language ModelsarXiv:2403.20327Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, et al.2024 · 74 citations
  51. MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Sanchit Ahuja, Divyanshu Aggarwal, Varun Gumma, et al.2024 · 74 citations
  52. QuRating: Selecting High-Quality Data for Training Language ModelsarXiv:2402.09739Alexander Wettig, Aatmik Gupta, Saumya Malik, et al.2024 · 74 citations
  53. 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
  54. AlignBench: Benchmarking Chinese Alignment of Large Language ModelsarXiv:2311.18743Xiao Liu, Xuanyu Lei, Shengyuan Wang, et al.2023 · 74 citations
  55. Large Language Models as Analogical ReasonersarXiv:2310.01714Michihiro Yasunaga, Xinyun Chen, Yujia Li, et al.2023 · 74 citations
  56. ReLoRA: High-Rank Training Through Low-Rank UpdatesarXiv:2307.05695Vladislav Lialin, Namrata Shivagunde, Sherin Muckatira, et al.2023 · 74 citations
  57. Iterative Translation Refinement with Large Language ModelsAnnual Conference of the European Association for Machine Translation (EAMT)Pinzhen Chen, Zhicheng Guo, Barry Haddow, et al.2024 · 73 citations
  58. ReCEval: Evaluating Reasoning Chains via Correctness and InformativenessConference on Empirical Methods in Natural Language Processing (EMNLP)Archiki Prasad, Swarnadeep Saha, Xiang Zhou, et al.2023 · 73 citations
  59. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
  60. 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
  61. Towards Safer Large Language Models through Machine UnlearningFindings of the Association for Computational LinguisticsZheyuan Liu, Guangyao Dou, Zhaoxuan Tan, et al.2024 · 72 citations
  62. 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
  63. 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
  64. Few-Shot Semantic Parsing with Language Models Trained on CodeConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Richard Shin, Benjamin Van Durme2022 · 72 citations
  65. CLASS: A Design Framework for Building Intelligent Tutoring Systems Based on Learning Science principlesFindings of the Association for Computational Linguistics: EMNLP 2023Shashank Sonkar, Naiming Liu, Debshila Mallick, et al.2023 · 71 citations
  66. 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
  67. Aligning Large and Small Language Models via Chain-of-Thought ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Leonardo Ranaldi, Andre Freitas2024 · 70 citations
  68. ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data and Comprehensive EvaluationarXiv:2306.09968Guangyu Wang, Guoxing Yang, Zongxin Du, et al.2023 · 70 citations
  69. Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-trainingarXiv:2305.14342Hong Liu, Zhiyuan Li, David Hall, et al.2023 · 70 citations
  70. Automatic Generation of Socratic Subquestions for Teaching Math Word ProblemsConference on Empirical Methods in Natural Language Processing (EMNLP)Kumar Shridhar, Jakub Macina, Mennatallah El-Assady, et al.2022 · 70 citations
  71. Recent Advances in Speech Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, et al.2025 · 69 citations
  72. Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction TuningarXiv:2309.05444Ted Zadouri, Ahmet Ustun, Arash Ahmadian, et al.2023 · 69 citations
  73. Apertus: Democratizing Open and Compliant LLMs for Global Language EnvironmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.2026 · 68 citations
  74. VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning TasksarXiv:2504.05118Yu Yue, Yufeng Yuan, Qiying Yu, et al.2025 · 68 citations
  75. Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Haoxiang Wang, Yong Lin, Wei Xiong, et al.2024 · 68 citations
  76. Branch-Solve-Merge Improves Large Language Model Evaluation and GenerationarXiv:2310.15123Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, et al.2023 · 68 citations
  77. Contrastive Decoding Improves Reasoning in Large Language ModelsarXiv:2309.09117Sean O'Brien, Mike Lewis2023 · 68 citations
  78. Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of PrivacyInternational Natural Language Generation Conference (INLG)Daphne Ippolito, Florian Tramer, Milad Nasr, et al.2023 · 68 citations
  79. Buffer of Thoughts: Thought-Augmented Reasoning with Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Ling Yang, Zhaochen Yu, Tianjun Zhang, et al.2024 · 67 citations
  80. FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel FusionarXiv:2406.06858Li-Wen Chang, Wenlei Bao, Qi Hou, et al.2024 · 67 citations
  81. MMAU: A Massive Multi-Task Audio Understanding and Reasoning BenchmarkarXiv:2410.19168S Sakshi, Utkarsh Tyagi, Sonal Kumar, et al.2024 · 67 citations
  82. Model Editing Harms General Abilities of Large Language Models: Regularization to the RescueConference on Empirical Methods in Natural Language Processing (EMNLP)Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, et al.2024 · 67 citations
  83. On the Effects of Data Scale on UI Control AgentsConference on Neural Information Processing Systems (NeurIPS)Wei Li, William Bishop, Alice Li, et al.2024 · 67 citations
  84. Crawling the Internal Knowledge-Base of Language ModelsFindings of the Association for Computational LinguisticsRoi Cohen, Mor Geva, Jonathan Berant, et al.2023 · 67 citations
  85. What Algorithms can Transformers Learn? A Study in Length GeneralizationarXiv:2310.16028Hattie Zhou, Arwen Bradley, Etai Littwin, et al.2023 · 67 citations
  86. An Open Source Data Contamination Report for Large Language ModelsarXiv:2310.17589Yucheng Li, Frank Guerin, Chenghua Lin2023 · 66 citations
  87. ARB: Advanced Reasoning Benchmark for Large Language ModelsarXiv:2307.13692Tomohiro Sawada, Daniel Paleka, Alexander Havrilla, et al.2023 · 66 citations
  88. Routing to the Expert: Efficient Reward-guided Ensemble of Large Language ModelsarXiv:2311.08692Keming Lu, Hongyi Yuan, Runji Lin, et al.2023 · 66 citations
  89. Large Language Models As Evolution StrategiesarXiv:2402.18381Robert Tjarko Lange, Yingtao Tian, Yujin Tang2024 · 65 citations
  90. We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?arXiv:2407.01284Runqi Qiao, Qiuna Tan, Guanting Dong, et al.2024 · 65 citations
  91. A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Alessandro Stolfo, Zhijing Jin, Kumar Shridhar, et al.2023 · 65 citations
  92. Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic TasksarXiv:2305.14201Tiedong Liu, Bryan Kian Hsiang Low2023 · 65 citations
  93. Questions Are All You Need to Train a Dense Passage RetrieverTransactions of the Association for Computational Linguistics (TACL)Devendra Singh Sachan, Mike Lewis, Dani Yogatama, et al.2023 · 65 citations
  94. Why think step by step? Reasoning emerges from the locality of experienceConference on Neural Information Processing Systems (NeurIPS)Ben Prystawski, Michael Y. Li, Noah D. Goodman2023 · 65 citations
  95. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
  96. SpiRit-LM: Interleaved Spoken and Written Language ModelTransactions of the Association for Computational Linguistics (TACL)Tu Anh Nguyen, Benjamin Muller, Bokai Yu, et al.2025 · 64 citations
  97. MARIO: MAth Reasoning with code Interpreter Output - A Reproducible PipelineFindings of the Association for Computational LinguisticsMinpeng Liao, Chengxi Li, Wei Luo, et al.2024 · 64 citations
  98. OpenMoE: An Early Effort on Open Mixture-of-Experts Language ModelsarXiv:2402.01739Fuzhao Xue, Zian Zheng, Yao Fu, et al.2024 · 64 citations
  99. CValues: Measuring the Values of Chinese Large Language Models from Safety to ResponsibilityarXiv:2307.09705Guohai Xu, Jiayi Liu, Ming Yan, et al.2023 · 64 citations
  100. Learning From Mistakes Makes LLM Better ReasonerarXiv:2310.20689Shengnan An, Zexiong Ma, Zeqi Lin, et al.2023 · 64 citations

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