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Who cites Punit Singh Koura

7,794 citations of their works from 7,553 papers of our library (of the 149,439 whose bibliographies we read) · 1,639 with a page here, the most cited first · page 11 of 17 · 1001–1100 · ← Punit Singh Koura

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  1. Following Length Constraints in InstructionsConference on Empirical Methods in Natural Language Processing (EMNLP)Weizhe Yuan, Ilia Kulikov, Ping Yu, et al.2025 · 22 citations
  2. HALoGEN: Fantastic LLM Hallucinations and Where to Find ThemAnnual Meeting of the Association for Computational Linguistics (ACL)Abhilasha Ravichander, Shrusti Ghela, David Wadden, et al.2025 · 22 citations
  3. How Likely Do LLMs with CoT Mimic Human Reasoning?International Conference on Computational Linguistics (COLING)Guangsheng Bao, Hongbo Zhang, Cunxiang Wang, et al.2025 · 22 citations
  4. MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation EvaluatorsInternational Conference on Computational Linguistics (COLING)Qingyu Lu, Liang Ding, Kanjian Zhang, et al.2025 · 22 citations
  5. Rolling the DICE on Idiomaticity: How LLMs Fail to Grasp ContextAnnual Meeting of the Association for Computational Linguistics (ACL)Maggie Mi, Aline Villavicencio, Nafise Sadat Moosavi2025 · 22 citations
  6. Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token RecyclingAnnual Meeting of the Association for Computational Linguistics (ACL)Xianzhen Luo, Yixuan Wang, Qingfu Zhu, et al.2025 · 22 citations
  7. A Hard Nut to Crack: Idiom Detection with Conversational Large Language ModelsWorkshop on Figurative Language ProcessingFrancesca De Luca Fornaciari, Begoña Altuna, Itziar Gonzalez-Dios, et al.2024 · 22 citations
  8. AI Sandbagging: Language Models can Strategically Underperform on EvaluationsarXiv:2406.07358Teun van der Weij, Felix Hofstatter, Ollie Jaffe, et al.2024 · 22 citations
  9. West-of-N: Synthetic Preferences for Self-Improving Reward ModelsarXiv:2401.12086Alizee Pace, Jonathan Mallinson, Eric Malmi, et al.2024 · 22 citations
  10. 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
  11. Intention Analysis Makes LLMs A Good Jailbreak DefenderInternational Conference on Computational Linguistics (COLING)Yuqi Zhang, Liang Ding, Lefei Zhang, et al.2025 · 21 citations
  12. MMLU-CF: A Contamination-free Multi-task Language Understanding BenchmarkAnnual Meeting of the Association for Computational Linguistics (ACL)Qihao Zhao, Yangyu Huang, Tengchao Lv, et al.2025 · 21 citations
  13. Personality Alignment of Large Language ModelsarXiv:2408.11779Minjun Zhu, Yixuan Weng, Linyi Yang, et al.2024 · 21 citations
  14. Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language ModelsarXiv:2406.06563Tianwen Wei, Bo Zhu, Liang Zhao, et al.2024 · 21 citations
  15. The Unreasonable Effectiveness of Easy Training Data for Hard TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Peter Hase, Mohit Bansal, Peter Clark, et al.2024 · 21 citations
  16. Understanding Transformer Reasoning Capabilities via Graph AlgorithmsConference on Neural Information Processing Systems (NeurIPS)Clayton Sanford, Bahare Fatemi, Ethan Hall, et al.2024 · 21 citations
  17. DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AIFindings of the Association for Computational LinguisticsJianguo Zhang, Kun Qian, Zhiwei Liu, et al.2023 · 21 citations
  18. Efficiently Adapting Pretrained Language Models To New LanguagesarXiv:2311.05741Zoltan Csaki, Pian Pawakapan, Urmish Thakker, et al.2023 · 21 citations
  19. Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?arXiv:2308.00189Ari Holtzman, Peter West, Luke Zettlemoyer2023 · 21 citations
  20. 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
  21. ModuleFormer: Modularity Emerges from Mixture-of-ExpertsarXiv:2306.04640Yikang Shen, Zheyu Zhang, Tianyou Cao, et al.2023 · 21 citations
  22. Understanding Emergent In-Context Learning from a Kernel Regression PerspectivearXiv:2305.12766Chi Han, Ziqi Wang, Han Zhao, et al.2023 · 21 citations
  23. Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language ModelsInternational Conference on Computational Linguistics (COLING)Mingyang Song, Mao Zheng, Xuan Luo2025 · 20 citations
  24. MLaKE: Multilingual Knowledge Editing Benchmark for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Zihao Wei, Jingcheng Deng, Liang Pang, et al.2025 · 20 citations
  25. NeoBERT: A Next-Generation BERTarXiv:2502.19587Lola Le Breton, Quentin Fournier, Mariam El Mezouar, et al.2025 · 20 citations
  26. SLAM: Towards Efficient Multilingual Reasoning via Selective Language AlignmentInternational Conference on Computational Linguistics (COLING)Yuchun Fan, Yongyu Mu, YiLin Wang, et al.2025 · 20 citations
  27. 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
  28. MindSearch: Mimicking Human Minds Elicits Deep AI SearcherarXiv:2407.20183Zehui Chen, Kuikun Liu, Qiuchen Wang, et al.2024 · 20 citations
  29. MMSci: A Dataset for Graduate-Level Multi-Discipline Multimodal Scientific UnderstandingarXiv:2407.04903Zekun Li, Xianjun Yang, Kyuri Choi, et al.2024 · 20 citations
  30. 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
  31. StepTool: Enhancing Multi-Step Tool Usage in LLMs via Step-Grained Reinforcement LearningACM International Conference on Information and Knowledge Management (CIKM)Yuanqing Yu, Zhefan Wang, Weizhi Ma, et al.2024 · 20 citations
  32. What Drives Performance in Multilingual Language Models?Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Sina Bagheri Nezhad, Ameeta Agrawal2024 · 20 citations
  33. CLEAN-EVAL: Clean Evaluation on Contaminated Large Language ModelsFindings of the Association for Computational LinguisticsWenhong Zhu, Hongkun Hao, Zhiwei He, et al.2023 · 20 citations
  34. Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jinyang Wu, Shuai Zhang, Feihu Che, et al.2025 · 19 citations
  35. Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Lang Gao, Jiahui Geng, Xiangliang Zhang, et al.2025 · 19 citations
  36. Can we obtain significant success in RST discourse parsing by using Large Language Models?Conference of the European Chapter of the Association for Computational Linguistics (EACL)Aru Maekawa, Tsutomu Hirao, Hidetaka Kamigaito, et al.2024 · 19 citations
  37. Do Large Language Models Understand Conversational Implicature- A case study with a Chinese sitcomChinese National Conference on Computational LinguisticsShisen Yue, Siyuan Song, Xinyuan Cheng, et al.2024 · 19 citations
  38. How predictable is language model benchmark performance?arXiv:2401.04757David Owen2024 · 19 citations
  39. In-Context Principle Learning from MistakesarXiv:2402.05403Tianjun Zhang, Aman Madaan, Luyu Gao, et al.2024 · 19 citations
  40. Large Language Models as Biomedical Hypothesis Generators: A Comprehensive EvaluationarXiv:2407.08940Biqing Qi, Kaiyan Zhang, Kai Tian, et al.2024 · 19 citations
  41. MathCoder2: Better Math Reasoning from Continued Pretraining on Model-translated Mathematical CodearXiv:2410.08196Zimu Lu, Aojun Zhou, Ke Wang, et al.2024 · 19 citations
  42. 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
  43. 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
  44. ScholarChemQA: Unveiling the Power of Language Models in Chemical Research Question AnsweringarXiv:2407.16931Xiuying Chen, Tairan Wang, Taicheng Guo, et al.2024 · 19 citations
  45. Suri: Multi-constraint Instruction Following in Long-form Text GenerationFindings of the Association for Computational LinguisticsChau Minh Pham, Simeng Sun, Mohit Iyyer2024 · 19 citations
  46. Timo: Towards Better Temporal Reasoning for Language ModelsarXiv:2406.14192Zhaochen Su, Jun Zhang, Tong Zhu, et al.2024 · 19 citations
  47. xVal: A Continuous Numerical Tokenization for Scientific Language ModelsarXiv:2310.02989Siavash Golkar, Mariel Pettee, Michael Eickenberg, et al.2023 · 19 citations
  48. Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic DialectWorkshop on Language Models for Low-Resource LanguagesGuokan Shang, Hadi Abdine, Yousef Khoubrane, et al.2025 · 18 citations
  49. Do Large Language Models Understand Word Senses?Domenico Meconi, Simone Stirpe, Federico Martelli2025 · 18 citations
  50. Multilingual Retrieval-Augmented Generation for Knowledge-Intensive TaskFindings of the Association for Computational LinguisticsLeonardo Ranaldi, Barry Haddow, Alexandra Birch2025 · 18 citations
  51. Unveiling Language-Specific Features in Large Language Models via Sparse AutoencodersAnnual Meeting of the Association for Computational Linguistics (ACL)Boyi Deng, Yu Wan, Baosong Yang, et al.2025 · 18 citations
  52. Baichuan-Omni Technical ReportarXiv:2410.08565Yadong Li, Haoze Sun, Mingan Lin, et al.2024 · 18 citations
  53. Densing Law of LLMsarXiv:2412.04315Chaojun Xiao, Jie Cai, Weilin Zhao, et al.2024 · 18 citations
  54. FormalAlign: Automated Alignment Evaluation for AutoformalizationarXiv:2410.10135Jianqiao Lu, Yingjia Wan, Yinya Huang, et al.2024 · 18 citations
  55. “Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations?Findings of the Association for Computational LinguisticsBeiduo Chen, Xinpeng Wang, Siyao Peng, et al.2024 · 18 citations
  56. Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and PlanningarXiv:2312.05230Zhiting Hu, Tianmin Shu2023 · 18 citations
  57. Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance ClassificationarXiv:2309.13734Iain J. Cruickshank, Lynnette Hui Xian Ng2023 · 18 citations
  58. Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Sarah Ball, Frauke Kreuter, Nina Panickssery2026 · 17 citations
  59. Converging to a Lingua Franca: Evolution of Linguistic Regions and Semantics Alignment in Multilingual Large Language ModelsInternational Conference on Computational Linguistics (COLING)Hongchuan Zeng, Senyu Han, Lu Chen, et al.2025 · 17 citations
  60. Multilingual Knowledge Editing with Language-Agnostic Factual NeuronsInternational Conference on Computational Linguistics (COLING)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2025 · 17 citations
  61. Revisiting Jailbreaking for Large Language Models: A Representation Engineering PerspectiveInternational Conference on Computational Linguistics (COLING)Tianlong Li, Zhenghua Wang, Wenhao Liu, et al.2025 · 17 citations
  62. ARN: Analogical Reasoning on NarrativesTransactions of the Association for Computational Linguistics (TACL)Zhivar Sourati, Filip Ilievski, Pia Sommerauer, et al.2024 · 17 citations
  63. ChatGLM-RLHF: Practices of Aligning Large Language Models with Human FeedbackarXiv:2404.00934Zhenyu Hou, Yilin Niu, Zhengxiao Du, et al.2024 · 17 citations
  64. Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zihan Wang, Deli Chen, Damai Dai, et al.2024 · 17 citations
  65. MultiPragEval: Multilingual Pragmatic Evaluation of Large Language ModelsProceedings of the 2nd GenBench Workshop on Generalisation (Benchmarking) in NLPDojun Park, Jiwoo Lee, Seohyun Park, et al.2024 · 17 citations
  66. 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
  67. Orion-14B: Open-source Multilingual Large Language ModelsarXiv:2401.12246Du Chen, Yi Huang, Xiaopu Li, et al.2024 · 17 citations
  68. RNNs are not Transformers (Yet): The Key Bottleneck on In-context RetrievalarXiv:2402.18510Kaiyue Wen, Xingyu Dang, Kaifeng Lyu2024 · 17 citations
  69. Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language ModelsarXiv:2412.02980Alex Havrilla, Andrew Dai, Laura O'Mahony, et al.2024 · 17 citations
  70. 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
  71. Skills-in-Context Prompting: Unlocking Compositionality in Large Language ModelsarXiv:2308.00304Jiaao Chen, Xiaoman Pan, Dian Yu, et al.2023 · 17 citations
  72. Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee DiscussionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, et al.2025 · 16 citations
  73. Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zeping Yu, Yonatan Belinkov, Sophia Ananiadou2025 · 16 citations
  74. Evaluating the Consistency of LLM EvaluatorsInternational Conference on Computational Linguistics (COLING)Noah Lee, Jiwoo Hong, James Thorne2025 · 16 citations
  75. Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal ThinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Yilong Chen, Junyuan Shang, Zhenyu Zhang, et al.2025 · 16 citations
  76. PIGuard: Prompt Injection Guardrail via Mitigating Overdefense for FreeAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Li, Xiaogeng Liu, Ning Zhang, et al.2025 · 16 citations
  77. SweetieChat: A Strategy-Enhanced Role-playing Framework for Diverse Scenarios Handling Emotional Support AgentInternational Conference on Computational Linguistics (COLING)Jing Ye, Lu Xiang, Yaping Zhang, et al.2025 · 16 citations
  78. Theory of Mind in Large Language Models: Assessment and EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Ruirui Chen, Weifeng Jiang, Chengwei Qin, et al.2025 · 16 citations
  79. Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle ChallengesInternational Conference on Computational Linguistics (COLING)Vinay Samuel, Yue Zhou, Henry Peng Zou2025 · 16 citations
  80. Dataset Decomposition: Faster LLM Training with Variable Sequence Length CurriculumConference on Neural Information Processing Systems (NeurIPS)Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, et al.2024 · 16 citations
  81. Discursive Socratic Questioning: Evaluating the Faithfulness of Language Models' Understanding of Discourse RelationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yisong Miao, Hongfu Liu, Wenqiang Lei, et al.2024 · 16 citations
  82. Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be BetterAnnual Meeting of the Association for Computational Linguistics (ACL)Shengchao Liu, Xiaoming Liu, Yichen Wang, et al.2024 · 16 citations
  83. Jailbreaking LLMs with Arabic Transliteration and ArabiziConference on Empirical Methods in Natural Language Processing (EMNLP)Mansour Al Ghanim, Saleh Almohaimeed, Mengxin Zheng, et al.2024 · 16 citations
  84. Linearizing Large Language ModelsarXiv:2405.06640Jean Mercat, Igor Vasiljevic, Sedrick Keh, et al.2024 · 16 citations
  85. LitLLMs, LLMs for Literature Review: Are we there yet?arXiv:2412.15249Shubham Agarwal, Gaurav Sahu, Abhay Puri, et al.2024 · 16 citations
  86. MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn InteractionsarXiv:2405.19444Zhenwen Liang, Dian Yu, Wenhao Yu, et al.2024 · 16 citations
  87. Meta Large Language Model Compiler: Foundation Models of Compiler OptimizationarXiv:2407.02524Chris Cummins, Volker Seeker, Dejan Grubisic, et al.2024 · 16 citations
  88. Okay, Let's Do This! Modeling Event Coreference with Generated Rationales and Knowledge DistillationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Abhijnan Nath, Shadi Manafi Avari, Avyakta Chelle, et al.2024 · 16 citations
  89. Rethinking Pragmatics in Large Language Models: Towards Open-Ended Evaluation and Preference TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Shengguang Wu, Shusheng Yang, Zhenglun Chen, et al.2024 · 16 citations
  90. Self-Supervised Alignment with Mutual Information: Learning to Follow Principles without Preference LabelsConference on Neural Information Processing Systems (NeurIPS)Jan-Philipp Franken, Eric Zelikman, Rafael Rafailov, et al.2024 · 16 citations
  91. StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style ElementsJillian Fisher, Skyler Hallinan, Ximing Lu, et al.2024 · 16 citations
  92. VinaLLaMA: LLaMA-based Vietnamese Foundation ModelarXiv:2312.11011Quan Nguyen, Huy Pham, Dung Dao2023 · 16 citations
  93. Self-Correcting RAG: Enhancing Faithfulness via MMKP Context Selection and NLI-Guided MCTSFindings of the Association for Computational LinguisticsShijia Xu, Zhou Wu, Xiaolong Jia, et al.2026 · 15 citations
  94. Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?Transactions of the Association for Computational Linguistics (TACL)Evgeniia Razumovskaia, Ivan Vulić, Anna Korhonen2025 · 15 citations
  95. CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-JudgesAnnual Meeting of the Association for Computational Linguistics (ACL)Haitao Li, Junjie Chen, Qingyao Ai, et al.2025 · 15 citations
  96. Debate-to-Write: A Persona-Driven Multi-Agent Framework for Diverse Argument GenerationInternational Conference on Computational Linguistics (COLING)Zhe Hu, Hou Pong Chan, Jing Li, et al.2025 · 15 citations
  97. FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongzhan Lin, Yang Deng, Yuxuan Gu, et al.2025 · 15 citations
  98. FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative SamplingAnnual Meeting of the Association for Computational Linguistics (ACL)Weilin Zhao, Tengyu Pan, Xu Han, et al.2025 · 15 citations
  99. HiddenDetect: Detecting Jailbreak Attacks against Multimodal Large Language Models via Monitoring Hidden StatesAnnual Meeting of the Association for Computational Linguistics (ACL)Yilei Jiang, Xinyan Gao, Tianshuo Peng, et al.2025 · 15 citations
  100. 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

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