Elamur Research⌕
☰
home / authors / Michele Catasta / cited by / page 8

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 8 of 11 · 701–800 · ← Michele Catasta

1 … 7 8 9 10 11

  1. Strategic Reasoning with Language ModelsarXiv:2305.19165Kanishk Gandhi, Dorsa Sadigh, Noah D. Goodman2023 · 40 citations
  2. From Automation to Autonomy: A Survey on Large Language Models in Scientific DiscoveryConference on Empirical Methods in Natural Language Processing (EMNLP)Tianshi Zheng, Zheye Deng, Hong Ting Tsang, et al.2025 · 39 citations
  3. Dual-Space Knowledge Distillation for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Songming Zhang, Xue Zhang, Zengkui Sun, et al.2024 · 39 citations
  4. InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and OutputarXiv:2407.03320Pan Zhang, Xiaoyi Dong, Yuhang Zang, et al.2024 · 39 citations
  5. Unveiling Linguistic Regions in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Zhang, Jun Zhao, Qi Zhang, et al.2024 · 39 citations
  6. Fault-Aware Neural Code RankersConference on Neural Information Processing Systems (NeurIPS)Jeevana Priya Inala, Chenglong Wang, Mei Yang, et al.2022 · 39 citations
  7. Learning Math Reasoning from Self-Sampled Correct and Partially-Correct SolutionsarXiv:2205.14318Ansong Ni, Jeevana Priya Inala, Chenglong Wang, et al.2022 · 39 citations
  8. InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug DiscoveryInternational Conference on Computational Linguistics (COLING)He Cao, Zijing Liu, Xingyu Lu, et al.2025 · 38 citations
  9. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
  10. BioCoder: A Benchmark for Bioinformatics Code Generation with Large Language ModelsBioinformaticsXiangru Tang, Bill Qian, Rick Gao, et al.2023 · 38 citations
  11. Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular DataFindings of the Association for Computational LinguisticsMubashara Akhtar, Abhilash Shankarampeta, Vivek Gupta, et al.2023 · 38 citations
  12. JASMINE: Arabic GPT Models for Few-Shot LearningConference on Empirical Methods in Natural Language Processing (EMNLP)El Moatez Billah Nagoudi, Muhammad Abdul-Mageed, AbdelRahim Elmadany, et al.2023 · 38 citations
  13. SlimPajama-DC: Understanding Data Combinations for LLM TrainingarXiv:2309.10818Zhiqiang Shen, Tianhua Tao, Liqun Ma, et al.2023 · 38 citations
  14. Towards Effective Disambiguation for Machine Translation with Large Language ModelsConference on Machine Translation (WMT)Vivek Iyer, Pinzhen Chen, Alexandra Birch2023 · 38 citations
  15. CheckEval: A reliable LLM-as-a-Judge framework for evaluating text generation using checklistsConference on Empirical Methods in Natural Language Processing (EMNLP)Yukyung Lee, JoongHoon Kim, Jaehee Kim, et al.2025 · 37 citations
  16. SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoningarXiv:2409.05556Alireza Ghafarollahi, Markus J. Buehler2024 · 37 citations
  17. Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language ModelsarXiv:2407.07263Jupinder Parmar, Sanjev Satheesh, Mostofa Patwary, et al.2024 · 36 citations
  18. Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure QueriesarXiv:2409.12640Kiran Vodrahalli; Santiago Ontanon; Nilesh Tripuraneni; Kelvin Xu; Sanil Jain; Rakesh Shivanna; Jeffrey Hui; Nishanth Dikkala; Mehran Kazemi; Bahare Fatemi; Rohan Anil; Ethan Dyer; Siamak Shakeri; Roopali Vij; Harsh Mehta; Vinay Ramasesh; Quoc Le; Ed Chi; Yifeng Lu; Orhan Firat; Angeliki Lazaridou; Jean-Baptiste Lespiau; Nithya Attaluri;, Kate Olszewska2024 · 35 citations
  19. PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuekai Zhu, Biqing Qi, Kaiyan Zhang, et al.2024 · 35 citations
  20. Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language ModelsarXiv:2305.09955Shangbin Feng, Weijia Shi, Yuyang Bai, et al.2023 · 35 citations
  21. Passport: Improving Automated Formal Verification Using IdentifiersarXiv:2204.10370 (ACM Transactions on Programming Languages and Systems (TOPLAS), 45(2):12:1-12:30, June 2023)Alex Sanchez-Stern, Emily First, Timothy Zhou, et al.2022 · 35 citations
  22. EuroBERT: Scaling Multilingual Encoders for European LanguagesarXiv:2503.05500Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, et al.2025 · 34 citations
  23. CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning CapabilitiesFindings of the Association for Computational LinguisticsYujun Mao, Yoon Kim, Yilun Zhou2024 · 34 citations
  24. Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning2012 International Conference for High Performance Computing, Networking, Storage and AnalysisWei An, Xiao Bi, Guanting Chen, et al.2024 · 34 citations
  25. mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Huiyuan Lai, Malvina Nissim2024 · 34 citations
  26. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language ModelsarXiv:2309.06085Wei Qi Leong, Jian Gang Ngui, Yosephine Susanto, et al.2023 · 33 citations
  27. FRMT: A Benchmark for Few-Shot Region-Aware Machine TranslationTransactions of the Association for Computational Linguistics (TACL)Parker Riley, Timothy Dozat, Jan A. Botha, et al.2023 · 33 citations
  28. ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level CodearXiv:2311.09835Xiangru Tang, Yuliang Liu, Zefan Cai, et al.2023 · 33 citations
  29. TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormerarXiv:2307.14995Zhen Qin, Dong Li, Weigao Sun, et al.2023 · 33 citations
  30. Derivational Morphology Reveals Analogical Generalization in Large Language ModelsProceedings of the National Academy of SciencesValentin Hofmann, Leonie Weissweiler, David Mortensen, et al.2024 · 32 citations
  31. Augmented Large Language Models with Parametric Knowledge GuidingarXiv:2305.04757Ziyang Luo, Can Xu, Pu Zhao, et al.2023 · 32 citations
  32. Interpretable Unified Language CheckingarXiv:2304.03728Tianhua Zhang, Hongyin Luo, Yung-Sung Chuang, et al.2023 · 32 citations
  33. MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding MethodsarXiv:2309.10966Mara Finkelstein; Subhajit Naskar; Mehdi Mirzazadeh; Apurva Shah;, Markus Freitag2023 · 32 citations
  34. PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model CorruptionsarXiv:2305.14908Anthony Chen, Panupong Pasupat, Sameer Singh, et al.2023 · 32 citations
  35. LiPO: Listwise Preference Optimization through Learning-to-RankConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Tianqi Liu, Zhen Qin, Junru Wu, et al.2025 · 31 citations
  36. LLMs + Persona-Plug = Personalized LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiongnan Liu, Yutao Zhu, Shuting Wang, et al.2025 · 31 citations
  37. Step-Audio 2 Technical ReportarXiv:2507.16632Boyong Wu, Chao Yan, Chen Hu, et al.2025 · 31 citations
  38. Position: What Can Large Language Models Tell Us about Time Series AnalysisarXiv:2402.02713Ming Jin, Yifan Zhang, Wei Chen, et al.2024 · 31 citations
  39. Scaling Laws and Compute-Optimal Training Beyond Fixed Training DurationsConference on Neural Information Processing Systems (NeurIPS)Alexander Hägele, Elie Bakouch, Atli Kosson, et al.2024 · 31 citations
  40. Reasoning in Large Language Models Through Symbolic Math Word ProblemsFindings of the Association for Computational LinguisticsVedant Gaur, Nikunj Saunshi2023 · 31 citations
  41. The Life Cycle of Knowledge in Big Language Models: A SurveyarXiv:2303.07616 · Machine Intelligence Research. vol. 21, no. 2, pp. 217-238, 2024Boxi Cao, Hongyu Lin, Xianpei Han, et al.2023 · 31 citations
  42. ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique PipelinearXiv:2404.02893Yifan Xu, Xiao Liu, Xinghan Liu, et al.2024 · 30 citations
  43. Contextualization Distillation from Large Language Model for Knowledge Graph CompletionFindings of the Association for Computational LinguisticsDawei Li, Zhen Tan, Tianlong Chen, et al.2024 · 30 citations
  44. DsDm: Model-Aware Dataset Selection with DatamodelsarXiv:2401.12926Logan Engstrom, Axel Feldmann, Aleksander Madry2024 · 30 citations
  45. LLM Augmented LLMs: Expanding Capabilities through CompositionarXiv:2401.02412Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, et al.2024 · 30 citations
  46. Nemotron-4 15B Technical ReportarXiv:2402.16819Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, et al.2024 · 30 citations
  47. NExT: Teaching Large Language Models to Reason about Code ExecutionarXiv:2404.14662Ansong Ni, Miltiadis Allamanis, Arman Cohan, et al.2024 · 30 citations
  48. Measuring and Modifying Factual Knowledge in Large Language ModelsarXiv:2306.06264Pouya Pezeshkpour2023 · 30 citations
  49. No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language ModelsarXiv:2307.06440Jean Kaddour, Oscar Key, Piotr Nawrot, et al.2023 · 30 citations
  50. DOSA: A Dataset of Social Artifacts from Different Indian Geographical SubculturesLanguage Resources and Evaluation Conference (LREC)Agrima Seth, Sanchit Ahuja, Kalika Bali, et al.2024 · 29 citations
  51. LangBridge: Multilingual Reasoning Without Multilingual SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Dongkeun Yoon, Joel Jang, Sungdong Kim, et al.2024 · 29 citations
  52. Transformers Can Achieve Length Generalization But Not RobustlyarXiv:2402.09371Yongchao Zhou, Uri Alon, Xinyun Chen, et al.2024 · 29 citations
  53. Should we be going MAD? A Look at Multi-Agent Debate Strategies for LLMsarXiv:2311.17371Andries Smit, Paul Duckworth, Nathan Grinsztajn, et al.2023 · 29 citations
  54. Towards Reasoning in Large Language Models via Multi-Agent Peer Review CollaborationarXiv:2311.08152Zhenran Xu, Senbao Shi, Baotian Hu, et al.2023 · 29 citations
  55. Peacock: A Family of Arabic Multimodal Large Language Models and BenchmarksAnnual Meeting of the Association for Computational Linguistics (ACL)Fakhraddin Alwajih, El Moatez Billah Nagoudi, Gagan Bhatia, et al.2024 · 28 citations
  56. PLUG: Leveraging Pivot Language in Cross-Lingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, et al.2024 · 28 citations
  57. A Technical Report for Polyglot-Ko: Open-Source Large-Scale Korean Language ModelsarXiv:2306.02254Hyunwoong Ko, Kichang Yang, Minho Ryu, et al.2023 · 28 citations
  58. Pushing the Limits of ChatGPT on NLP TasksarXiv:2306.09719Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.2023 · 28 citations
  59. SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check ConsistencyarXiv:2311.01740Jiaxin Zhang, Zhuohang Li, Kamalika Das, et al.2023 · 28 citations
  60. Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model PerformanceConference on Empirical Methods in Natural Language Processing (EMNLP)Omer Nahum, Nitay Calderon, Orgad Keller, et al.2025 · 27 citations
  61. Towards the Law of Capacity Gap in Distilling Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Zhang, Qiuchi Li, Dawei Song, et al.2025 · 27 citations
  62. Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai LanguageLanguage Resources and Evaluation Conference (LREC)Raphael Merx, Aso Mahmudi, Katrina Langford, et al.2024 · 27 citations
  63. MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical ReasoningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Debrup Das, Debopriyo Banerjee, Somak Aditya, et al.2024 · 27 citations
  64. DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context LearningarXiv:2310.02954Jing Xiong, Zixuan Li, Chuanyang Zheng, et al.2023 · 27 citations
  65. Towards LogiGLUE: A Brief Survey and A Benchmark for Analyzing Logical Reasoning Capabilities of Language ModelsarXiv:2310.00836Man Luo, Shrinidhi Kumbhar, Ming shen, et al.2023 · 27 citations
  66. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP)Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 27 citations
  67. Distillation Scaling LawsarXiv:2502.08606Dan Busbridge, Amitis Shidani, Floris Weers, et al.2025 · 26 citations
  68. NumeroLogic: Number Encoding for Enhanced LLMs' Numerical ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Eli Schwartz, Leshem Choshen, Joseph Shtok, et al.2024 · 26 citations
  69. The State of Multilingual LLM Safety Research: From Measuring The Language Gap To Mitigating ItConference on Empirical Methods in Natural Language Processing (EMNLP)Zheng Xin Yong, Beyza Ermis, Marzieh Fadaee, et al.2025 · 25 citations
  70. CiteME: Can Language Models Accurately Cite Scientific Claims?Conference on Neural Information Processing Systems (NeurIPS)Ori Press, Andreas Hochlehnert, Ameya Prabhu, et al.2024 · 25 citations
  71. Sentiment Analysis through LLM NegotiationsarXiv:2311.01876Xiaofei Sun, Xiaoya Li, Shengyu Zhang, et al.2023 · 25 citations
  72. Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsarXiv:2306.16322Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.2023 · 25 citations
  73. Linguistic Generalizability of Test-Time Scaling in Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Guijin Son, Jiwoo Hong, Hyunwoo Ko, et al.2025 · 24 citations
  74. M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaopeng Feng, Jiayuan Su, Jiamei Zheng, et al.2025 · 24 citations
  75. Protecting Privacy in Multimodal Large Language Models with MLLMU-BenchConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Zheyuan Liu, Guangyao Dou, Mengzhao Jia, et al.2025 · 24 citations
  76. Towards Scientific Intelligence: A Survey of LLM-based Scientific AgentsarXiv:2503.24047Shuo Ren, Can Xie, Pu Jian, et al.2025 · 24 citations
  77. TeleChat Technical ReportarXiv:2401.03804Zhongjiang He, Zihan Wang, Xinzhang Liu, et al.2024 · 24 citations
  78. Fool Your (Vision and) Language Model With Embarrassingly Simple PermutationsarXiv:2310.01651Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, et al.2023 · 24 citations
  79. Lyra: Orchestrating Dual Correction in Automated Theorem ProvingarXiv:2309.15806Chuanyang Zheng, Haiming Wang, Enze Xie, et al.2023 · 24 citations
  80. PaniniQA: Enhancing Patient Education Through Interactive Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Pengshan Cai, Zonghai Yao, Fei Liu, et al.2023 · 24 citations
  81. Pretraining on the Test Set Is All You NeedarXiv:2309.08632Rylan Schaeffer2023 · 24 citations
  82. Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Danni Liu, Jan Niehues2025 · 23 citations
  83. AI-Assisted Generation of Difficult Math QuestionsarXiv:2407.21009Vedant Shah, Dingli Yu, Kaifeng Lyu, et al.2024 · 23 citations
  84. DDK: Distilling Domain Knowledge for Efficient Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Jiaheng Liu, Chenchen Zhang, Jinyang Guo, et al.2024 · 23 citations
  85. Tx-LLM: A Large Language Model for TherapeuticsarXiv:2406.06316Juan Manuel Zambrano Chaves, Eric Wang, Tao Tu, et al.2024 · 23 citations
  86. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
  87. Certified Deductive Reasoning with Language ModelsarXiv:2306.04031Gabriel Poesia, Kanishk Gandhi, Eric Zelikman, et al.2023 · 23 citations
  88. COLLIE: Systematic Construction of Constrained Text Generation TasksarXiv:2307.08689Shunyu Yao, Howard Chen, Austin W. Hanjie, et al.2023 · 23 citations
  89. Recursion of Thought: A Divide-and-Conquer Approach to Multi-Context Reasoning with Language ModelsFindings of the Association for Computational LinguisticsSoochan Lee, Gunhee Kim2023 · 23 citations
  90. Entropy Law: The Story Behind Data Compression and LLM PerformancearXiv:2407.06645Mingjia Yin, Chuhan Wu, Yufei Wang, et al.2024 · 22 citations
  91. West-of-N: Synthetic Preferences for Self-Improving Reward ModelsarXiv:2401.12086Alizee Pace, Jonathan Mallinson, Eric Malmi, et al.2024 · 22 citations
  92. InstructAlign: High-and-Low Resource Language Alignment via Continual Crosslingual Instruction TuningarXiv:2305.13627Samuel Cahyawijaya, Holy Lovenia, Tiezheng Yu, et al.2023 · 22 citations
  93. Language Model Self-improvement by Reinforcement Learning ContemplationarXiv:2305.14483Jing-Cheng Pang; Pengyuan Wang; Kaiyuan Li; Xiong-Hui Chen; Jiacheng Xu; Zongzhang Zhang;, Yang Yu2023 · 22 citations
  94. Measuring The Impact Of Programming Language DistributionarXiv:2302.01973Gabriel Orlanski, Kefan Xiao, Xavier Garcia, et al.2023 · 22 citations
  95. CodeTree: Agent-guided Tree Search for Code Generation with Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jierui Li, Hung Le, Yingbo Zhou, et al.2025 · 21 citations
  96. Astraios: Parameter-Efficient Instruction Tuning Code Large Language ModelsarXiv:2401.00788Terry Yue Zhuo, Armel Zebaze, Nitchakarn Suppattarachai, et al.2024 · 21 citations
  97. Humans Learn Language from Situated Communicative Interactions. What about Machines?Computational LinguisticsKatrien Beuls, Paul Van Eecke2024 · 21 citations
  98. Source-Aware Training Enables Knowledge Attribution in Language ModelsarXiv:2404.01019Muhammad Khalifa, David Wadden, Emma Strubell, et al.2024 · 21 citations
  99. Understanding Transformer Reasoning Capabilities via Graph AlgorithmsConference on Neural Information Processing Systems (NeurIPS)Clayton Sanford, Bahare Fatemi, Ethan Hall, et al.2024 · 21 citations
  100. AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language ProcessingFindings of the Association for Computational LinguisticsAsaad Alghamdi, Xinyu Duan, Wei Jiang, et al.2023 · 21 citations

1 … 7 8 9 10 11

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/michele-catasta/cited-by/page/8/