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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 9 of 11 · 801–900 · ← Michele Catasta

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  1. Knowledge Sanitization of Large Language ModelsarXiv:2309.11852Yoichi Ishibashi, Hidetoshi Shimodaira2023 · 21 citations
  2. Large-scale Language Model Rescoring on Long-form DataIEEE International Conference on Acoustics Speech and Signal ProcessingTongzhou Chen, Cyril Allauzen, Yinghui Huang, et al.2023 · 21 citations
  3. Learning to Reason and Memorize with Self-NotesConference on Neural Information Processing Systems (NeurIPS)Jack Lanchantin, Shubham Toshniwal, Jason Weston, et al.2023 · 21 citations
  4. ModuleFormer: Modularity Emerges from Mixture-of-ExpertsarXiv:2306.04640Yikang Shen, Zheyu Zhang, Tianyou Cao, et al.2023 · 21 citations
  5. CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixin Chen, Hongzhan Lin, Ziyang Luo, et al.2024 · 20 citations
  6. DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Bowen Wang, Jiuyang Chang, Yiming Qian, et al.2024 · 20 citations
  7. GameBench: Evaluating Strategic Reasoning Abilities of LLM AgentsarXiv:2406.06613Anthony Costarelli, Mat Allen, Roman Hauksson, et al.2024 · 20 citations
  8. LLM-Assisted Rule Based Machine Translation for Low/No-Resource LanguagesJared Coleman, Bhaskar Krishnamachari, Ruben Rosales, et al.2024 · 20 citations
  9. Self-Improvement in Language Models: The Sharpening MechanismarXiv:2412.01951Audrey Huang; Adam Block; Dylan J. Foster; Dhruv Rohatgi; Cyril Zhang; Max Simchowitz; Jordan T. Ash;, Akshay Krishnamurthy2024 · 20 citations
  10. What Drives Performance in Multilingual Language Models?Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Sina Bagheri Nezhad, Ameeta Agrawal2024 · 20 citations
  11. AMR Parsing is Far from Solved: GrAPES, the Granular AMR Parsing Evaluation SuiteConference on Empirical Methods in Natural Language Processing (EMNLP)Jonas Groschwitz, Shay B. Cohen, Lucia Donatelli, et al.2023 · 20 citations
  12. Block-State TransformersarXiv:2306.09539Mahan Fathi, Jonathan Pilault, Orhan Firat, et al.2023 · 20 citations
  13. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic RulesYanchen Liu, William Held, Diyi Yang2023 · 20 citations
  14. GraphReason: Enhancing Reasoning Capabilities of Large Language Models through A Graph-Based Verification ApproacharXiv:2308.09267Lang Cao2023 · 20 citations
  15. How predictable is language model benchmark performance?arXiv:2401.04757David Owen2024 · 19 citations
  16. In-Context Principle Learning from MistakesarXiv:2402.05403Tianjun Zhang, Aman Madaan, Luyu Gao, et al.2024 · 19 citations
  17. MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuningLanguage Resources and Evaluation Conference (LREC)Zhenwen Liang, Dian Yu, Xiaoman Pan, et al.2024 · 19 citations
  18. Resolving Discrepancies in Compute-Optimal Scaling of Language ModelsConference on Neural Information Processing Systems (NeurIPS)Tomer Porian, Mitchell Wortsman, Jenia Jitsev, et al.2024 · 19 citations
  19. sDPO: Don't Use Your Data All at OncearXiv:2403.19270Dahyun Kim, Yungi Kim, Wonho Song, et al.2024 · 19 citations
  20. Vibe-Eval: A hard evaluation suite for measuring progress of multimodal language modelsarXiv:2405.02287Piotr Padlewski, Max Bain, Matthew Henderson, et al.2024 · 19 citations
  21. Quality-Diversity through AI FeedbackarXiv:2310.13032Herbie Bradley, Andrew Dai, Hannah Teufel, et al.2023 · 19 citations
  22. RECKONING: Reasoning through Dynamic Knowledge EncodingConference on Neural Information Processing Systems (NeurIPS)Zeming Chen, Gail Weiss, Eric Mitchell, et al.2023 · 19 citations
  23. A Survey of Post-Training Scaling in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hanyu Lai, Xiao Liu, Junjie Gao, et al.2025 · 18 citations
  24. Chinchilla Scaling: A replication attemptarXiv:2404.10102Tamay Besiroglu, Ege Erdil, Matthew Barnett, et al.2024 · 18 citations
  25. Densing Law of LLMsarXiv:2412.04315Chaojun Xiao, Jie Cai, Weilin Zhao, et al.2024 · 18 citations
  26. FormalAlign: Automated Alignment Evaluation for AutoformalizationarXiv:2410.10135Jianqiao Lu, Yingjia Wan, Yinya Huang, et al.2024 · 18 citations
  27. Large Language Model ProgramsarXiv:2305.05364Imanol Schlag, Sainbayar Sukhbaatar, Asli Celikyilmaz, et al.2023 · 18 citations
  28. A Rationale-centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference ResolutionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bowen Ding, Qingkai Min, Shengkun Ma, et al.2024 · 17 citations
  29. ChatGLM-RLHF: Practices of Aligning Large Language Models with Human FeedbackarXiv:2404.00934Zhenyu Hou, Yilin Niu, Zhengxiao Du, et al.2024 · 17 citations
  30. MuMath-Code: Combining Tool-Use Large Language Models with Multi-perspective Data Augmentation for Mathematical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Shuo Yin, Weihao You, Zhilong Ji, et al.2024 · 17 citations
  31. NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User QueriesFindings of the Association for Computational LinguisticsShudan Zhang, Hanlin Zhao, Xiao Liu, et al.2024 · 17 citations
  32. Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource TranslationConference on Machine Translation (WMT)Vivek Iyer; Bhavitvya Malik; Pavel Stepachev; Pinzhen Chen; Barry Haddow;, Alexandra Birch2024 · 17 citations
  33. Weak-to-Strong Search: Align Large Language Models via Searching over Small Language ModelsConference on Neural Information Processing Systems (NeurIPS)Zhanhui Zhou, Zhixuan Liu, Jie Liu, et al.2024 · 17 citations
  34. Can Transformers Learn to Solve Problems Recursively?arXiv:2305.14699Shizhuo Dylan Zhang, Curt Tigges, Stella Biderman, et al.2023 · 17 citations
  35. LLM-Assisted Code Cleaning For Training Accurate Code GeneratorsarXiv:2311.14904Naman Jain, Tianjun Zhang, Wei-Lin Chiang, et al.2023 · 17 citations
  36. Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Jundong Xu, Hao Fei, Meng Luo, et al.2025 · 16 citations
  37. Towards Reasoning Ability of Small Language ModelsarXiv:2502.11569Gaurav Srivastava, Shuxiang Cao, Xuan Wang2025 · 16 citations
  38. Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and PerformancearXiv:2507.22448Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, et al.2025 · 15 citations
  39. Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, et al.2025 · 15 citations
  40. L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hyesung Jeon, Yulhwa Kim, Jae-Joon Kim2025 · 15 citations
  41. Language Models Encode the Value of Numbers LinearlyInternational Conference on Computational Linguistics (COLING)Fangwei Zhu, Damai Dai, Zhifang Sui2025 · 15 citations
  42. AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data FiltersAnnual Meeting of the Association for Computational Linguistics (ACL)Li Lucy, Suchin Gururangan, Luca Soldaini, et al.2024 · 15 citations
  43. Scaling Exponents Across Parameterizations and OptimizersarXiv:2407.05872Katie Everett, Lechao Xiao, Mitchell Wortsman, et al.2024 · 15 citations
  44. A Theory on Adam Instability in Large-Scale Machine LearningarXiv:2304.09871Igor Molybog, Peter Albert, Moya Chen, et al.2023 · 15 citations
  45. DiPlomat: A Dialogue Dataset for Situated Pragmatic ReasoningConference on Neural Information Processing Systems (NeurIPS)Hengli Li, Song-Chun Zhu, Zilong Zheng2023 · 15 citations
  46. Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction TaskarXiv:2307.03972Fanyi Qu, Chenming Tang, Yunfang Wu2023 · 15 citations
  47. LLMs Are Biased Towards Output Formats! Systematically Evaluating and Mitigating Output Format Bias of LLMsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Do Xuan Long, Hai Nguyen Ngoc, Tiviatis Sim, et al.2025 · 14 citations
  48. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnarXiv:2407.08348Liang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
  49. Understanding Chain-of-Thought in LLMs through Information TheoryarXiv:2411.11984Jean-Francois Ton, Muhammad Faaiz Taufiq, Yang Liu2024 · 14 citations
  50. Constituency Parsing using LLMsarXiv:2310.19462Xuefeng Bai, Jialong Wu, Yulong Chen, et al.2023 · 14 citations
  51. TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought ProcessesarXiv:2311.10797Bibek Upadhayay, Vahid Behzadan2023 · 14 citations
  52. Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear RegressionConference on Neural Information Processing Systems (NeurIPS)Deqing Fu, Tian-Qi Chen, Robin Jia, et al.2023 · 14 citations
  53. Efficient Tool Use with Chain-of-Abstraction ReasoningInternational Conference on Computational Linguistics (COLING)Silin Gao, Jane Dwivedi-Yu, Ping Yu, et al.2025 · 13 citations
  54. Enhancing Automated Interpretability with Output-Centric Feature DescriptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Yoav Gur-Arieh, Roy Mayan, Chen Agassy, et al.2025 · 13 citations
  55. Learning to Refuse: Towards Mitigating Privacy Risks in LLMsInternational Conference on Computational Linguistics (COLING)Zhenhua Liu, Tong Zhu, Chuanyuan Tan, et al.2025 · 13 citations
  56. Prompting Large Language Models to Tackle the Full Software Development Lifecycle: A Case StudyInternational Conference on Computational Linguistics (COLING)Bowen Li, Wenhan Wu, Ziwei Tang, et al.2025 · 13 citations
  57. QCRD: Quality-guided Contrastive Rationale Distillation for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Wang, Zhaowei Li, Qi Xu, et al.2025 · 13 citations
  58. Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample EfficiencyarXiv:2309.17382Zhihan Liu, Hao Hu, Shenao Zhang, et al.2023 · 13 citations
  59. Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language ModelsarXiv:2312.01714Bingshuai Liu, Chenyang Lyu, Zijun Min, et al.2023 · 13 citations
  60. Dolomites: Domain-Specific Long-Form Methodical TasksTransactions of the Association for Computational Linguistics (TACL)Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, et al.2025 · 12 citations
  61. Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, et al.2025 · 12 citations
  62. Prompt-Guided Internal States for Hallucination Detection of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Fujie Zhang, Peiqi Yu, Biao Yi, et al.2025 · 12 citations
  63. Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource LanguagesarXiv:2403.06354Michael Andersland2024 · 12 citations
  64. MiniPLM: Knowledge Distillation for Pre-Training Language ModelsarXiv:2410.17215Yuxian Gu, Hao Zhou, Fandong Meng, et al.2024 · 12 citations
  65. Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual ProgressarXiv:2408.14960Ayomide Odumakinde, Daniel D'souza, Pat Verga, et al.2024 · 12 citations
  66. Aligning Large Language Models with Human Opinions through Persona Selection and Value — Belief — Norm ReasoningarXiv:2311.08385Do Xuan Long, Kenji Kawaguchi, Min-Yen Kan, et al.2023 · 12 citations
  67. Critique Ability of Large Language ModelsarXiv:2310.04815Liangchen Luo, Zi Lin, Yinxiao Liu, et al.2023 · 12 citations
  68. Towards Ontology Construction with Language ModelsarXiv:2309.09898Maurice Funk, Simon Hosemann, Jean Christoph Jung, et al.2023 · 12 citations
  69. LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaodong Wu, Minhao Wang, Yichen Liu, et al.2025 · 11 citations
  70. GAOKAO-MM: A Chinese Human-Level Benchmark for Multimodal Models EvaluationarXiv:2402.15745Yi Zong, Xipeng Qiu2024 · 11 citations
  71. Lemur: Integrating Large Language Models in Automated Program VerificationarXiv:2310.04870Haoze Wu, Clark Barrett, Nina Narodytska2024 · 11 citations
  72. LLaSA: A Sensor-Aware LLM for Natural Language Reasoning of Human Activity from IMU DataarXiv:2406.14498Sheikh Asif Imran, Mohammad Nur Hossain Khan, Subrata Biswas, et al.2024 · 11 citations
  73. MIND: Math Informed syNthetic Dialogues for Pretraining LLMsarXiv:2410.12881Syeda Nahida Akter, Shrimai Prabhumoye, John Kamalu, et al.2024 · 11 citations
  74. Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative DatasetsFindings of the Association for Computational LinguisticsIsrael Abebe Azime, Atnafu Lambebo Tonja, Tadesse Destaw Belay, et al.2024 · 11 citations
  75. Chain-of-Thought Reasoning is a Policy Improvement OperatorarXiv:2309.08589Hugh Zhang, David C. Parkes2023 · 11 citations
  76. Could Thinking Multilingually Empower LLM Reasoning?arXiv:2504.11833Changjiang Gao, Xu Huang, Wenhao Zhu, et al.2025 · 10 citations
  77. Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key InformationConference on Empirical Methods in Natural Language Processing (EMNLP)Yao Chen, Jiawei Sheng, Wenyuan Zhang, et al.2025 · 10 citations
  78. AlclaM: Arabic Dialect Language ModelArabic Natural Language Processing Conference (ArabicNLP)Murtadha Ahmed, Saghir Alfasly, Bo Wen, et al.2024 · 10 citations
  79. Beyond Autoregression: Fast LLMs via Self-Distillation Through TimearXiv:2410.21035Justin Deschenaux, Caglar Gulcehre2024 · 10 citations
  80. Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual UnderstandingarXiv:2410.01671Yanming Liu, Xinyue Peng, Jiannan Cao, et al.2024 · 10 citations
  81. MathGLM-Vision: Solving Mathematical Problems with Multi-Modal Large Language ModelarXiv:2409.13729Zhen Yang, Jinhao Chen, Zhengxiao Du, et al.2024 · 10 citations
  82. Unearthing Large Scale Domain-Specific Knowledge from Public CorporaarXiv:2401.14624Zhaoye Fei, Yunfan Shao, Linyang Li, et al.2024 · 10 citations
  83. PanGu-π: Enhancing Language Model Architectures via Nonlinearity CompensationarXiv:2312.17276Yunhe Wang, Hanting Chen, Yehui Tang, et al.2023 · 10 citations
  84. Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical StudyInternational Conference on Computational Linguistics (COLING)Mingyang Song, Mao Zheng, Xuan Luo2025 · 9 citations
  85. Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxin Xu, Ruizhe Zhang, Xinke Jiang, et al.2025 · 9 citations
  86. Large Language Models as Legal Translators of Arabic Legislation: Do ChatGPT and Gemini Care for Context and Terminology?Arabic Natural Language Processing Conference (ArabicNLP)Khadija Ait ElFqih, Johanna Monti2024 · 9 citations
  87. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language UnderstandingarXiv:2205.10687Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations
  88. Faster MoE LLM Inference for Extremely Large ModelsFindings of the Association for Computational LinguisticsHaoqi Yang, Luohe Shi, Qiwei Li, et al.2026 · 8 citations
  89. M2RC-EVAL: Massively Multilingual Repository-level Code Completion EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaheng Liu, Ken Deng, Congnan Liu, et al.2025 · 8 citations
  90. TL;DR: Too Long, Do Re-weighting for Efficient LLM Reasoning CompressionarXiv:2506.02678Zhong-Zhi Li, Xiao Liang, Zihao Tang, et al.2025 · 8 citations
  91. Just read twice: closing the recall gap for recurrent language modelsarXiv:2407.05483Simran Arora; Aman Timalsina; Aaryan Singhal; Benjamin Spector; Sabri Eyuboglu; Xinyi Zhao; Ashish Rao; Atri Rudra;, Christopher Re2024 · 8 citations
  92. PanGu-π Pro:Rethinking Optimization and Architecture for Tiny Language ModelsarXiv:2402.02791Yehui Tang, Kai Han, Fangcheng Liu, et al.2024 · 8 citations
  93. Bridging the Resource Gap: Exploring the Efficacy of English and Multilingual LLMs for SwedishWorkshop on the Role of Resources in the Age of Large Language ModelsOskar Holmström, Jenny Kunz, Marco Kuhlmann2023 · 8 citations
  94. A Survey of Large Language Models for Text-Guided Molecular Discovery: From Molecule Generation to OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqing Wang, Kexin Zhang, Zihan Zhao, et al.2026 · 7 citations
  95. Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum LearningConference of the European Chapter of the Association for Computational Linguistics (EACL)Yang Zhang, Amr Mohamed, Hadi Abdine, et al.2026 · 7 citations
  96. DebateQA: Evaluating Question Answering on Debatable KnowledgeFindings of the Association for Computational LinguisticsRongwu Xu, Xuan Qi, Zehan Qi, et al.2026 · 7 citations
  97. CUTE: A Multilingual Dataset for Enhancing Cross-Lingual Knowledge Transfer in Low-Resource LanguagesInternational Conference on Computational Linguistics (COLING)Wenhao Zhuang, Yuan Sun2025 · 7 citations
  98. Language Adaptation of Large Language Models: An Empirical Study on LLaMA2International Conference on Computational Linguistics (COLING)Shumin Wang, Yuexiang Xie, Bolin Ding, et al.2025 · 7 citations
  99. TANQ: An Open Domain Dataset of Table Answered QuestionsTransactions of the Association for Computational Linguistics (TACL)Mubashara Akhtar, Chenxi Pang, Andreea Marzoca, et al.2025 · 7 citations
  100. The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of ReasonarXiv:2506.12286Shanchao Liang, Spandan Garg, Roshanak Zilouchian Moghaddam2025 · 7 citations

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