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Who cites Urmish Thakker

2,601 citations of their works from 2,367 papers of our library (of the 149,439 whose bibliographies we read) · 623 with a page here, the most cited first · page 3 of 7 · 201–300 · ← Urmish Thakker

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  1. Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvaturearXiv:2310.05130Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.2023 · 148 citations
  2. Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and EvaluationFindings of the Association for Computational LinguisticsMarius Mosbach, Tiago Pimentel, Shauli Ravfogel, et al.2023 · 148 citations
  3. Instruction Induction: From Few Examples to Natural Language Task DescriptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Or Honovich, Uri Shaham, Samuel R. Bowman, et al.2022 · 148 citations
  4. GPT4Tools: Teaching Large Language Model to Use Tools via Self-instructionConference on Neural Information Processing Systems (NeurIPS)Rui Yang, Lin Song, Yanwei Li, et al.2023 · 147 citations
  5. How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data CompositionAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Hongyi Yuan, Keming Lu, et al.2024 · 145 citations
  6. Efficient Methods for Natural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Marcos Treviso, Ji-Ung Lee, Tianchu Ji, et al.2023 · 145 citations
  7. MiniLLM: On-Policy Distillation of Large Language ModelsarXiv:2306.08543Yuxian Gu, Li Dong, Furu Wei, et al.2023 · 144 citations
  8. A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence GenerationarXiv:2307.03987Neeraj Varshney; Wenlin Yao; Hongming Zhang; Jianshu Chen;, Dong Yu2023 · 143 citations
  9. Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and DiscoveryConference on Neural Information Processing Systems (NeurIPS)Yuxin Wen, Neel Jain, John Kirchenbauer, et al.2023 · 141 citations
  10. Do LLMs Exhibit Human-like Response Biases? A Case Study in Survey DesignTransactions of the Association for Computational Linguistics (TACL)Lindia Tjuatja, Valerie Chen, Tongshuang Wu, et al.2024 · 140 citations
  11. Self-Alignment with Instruction BacktranslationarXiv:2308.06259Xian Li, Ping Yu, Chunting Zhou, et al.2023 · 139 citations
  12. DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Weihang Su, Yichen Tang, Qingyao Ai, et al.2024 · 137 citations
  13. SIB-200: A Simple, Inclusive, and Big Evaluation Dataset for Topic Classification in 200+ Languages and DialectsarXiv:2309.07445David Ifeoluwa Adelani, Hannah Liu, Xiaoyu Shen, et al.2023 · 136 citations
  14. Simple synthetic data reduces sycophancy in large language modelsarXiv:2308.03958Jerry Wei, Da Huang, Yifeng Lu, et al.2023 · 134 citations
  15. The Impact of Positional Encoding on Length Generalization in TransformersConference on Neural Information Processing Systems (NeurIPS)Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, et al.2023 · 134 citations
  16. FLUTE: Figurative Language Understanding through Textual ExplanationsConference on Empirical Methods in Natural Language Processing (EMNLP)Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, et al.2022 · 133 citations
  17. Task-aware Retrieval with InstructionsFindings of the Association for Computational LinguisticsAkari Asai, Timo Schick, Patrick Lewis, et al.2023 · 132 citations
  18. ZeroSCROLLS: A Zero-Shot Benchmark for Long Text UnderstandingFindings of the Association for Computational LinguisticsUri Shaham, Maor Ivgi, Avia Efrat, et al.2023 · 132 citations
  19. Deductive Verification of Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Zhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 130 citations
  20. You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual SettingsBigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language ModelsZeerak Talat, Aurélie Névéol, Stella Biderman, et al.2022 · 130 citations
  21. MAGE: Machine-generated Text Detection in the WildAnnual Meeting of the Association for Computational Linguistics (ACL)Yafu Li, Qintong Li, Leyang Cui, et al.2024 · 129 citations
  22. Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-TuningarXiv:2303.15647Vladislav Lialin, Vijeta Deshpande, Xiaowei Yao, et al.2023 · 129 citations
  23. Time Travel in LLMs: Tracing Data Contamination in Large Language ModelsarXiv:2308.08493Shahriar Golchin, Mihai Surdeanu2023 · 128 citations
  24. Scaling Sentence Embeddings with Large Language ModelsFindings of the Association for Computational LinguisticsTing Jiang, Shaohan Huang, Zhongzhi Luan, et al.2024 · 127 citations
  25. Chain of Hindsight Aligns Language Models with FeedbackarXiv:2302.02676Hao Liu, Carmelo Sferrazza, Pieter Abbeel2023 · 126 citations
  26. PEER: A Collaborative Language ModelarXiv:2208.11663Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, et al.2022 · 126 citations
  27. Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and FuturearXiv:2309.15402Zheng Chu, Jingchang Chen, Qianglong Chen, et al.2023 · 125 citations
  28. XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions ParametersACM International Conference on Information and Knowledge Management (CIKM)Xuanyu Zhang, Qing Yang, Dongliang Xu2023 · 125 citations
  29. H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language ModelsarXiv:2306.14048Zhenyu Zhang, Ying Sheng, Tianyi Zhou, et al.2023 · 124 citations
  30. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 124 citations
  31. Unlearn What You Want to Forget: Efficient Unlearning for LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaao Chen, Diyi Yang2023 · 124 citations
  32. Emergent and Predictable Memorization in Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Stella Biderman, USVSN Sai Prashanth, Lintang Sutawika, et al.2023 · 123 citations
  33. The case for 4-bit precision: k-bit Inference Scaling LawsarXiv:2212.09720Tim Dettmers, Luke Zettlemoyer2022 · 123 citations
  34. DeepSeek-Prover-V2: Advancing Formal Mathematical Reasoning via Reinforcement Learning for Subgoal DecompositionarXiv:2504.21801Z. Z. Ren, Zhihong Shao, Junxiao Song, et al.2025 · 122 citations
  35. ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft PromptsConference on Empirical Methods in Natural Language Processing (EMNLP)Akari Asai, Mohammadreza Salehi, Matthew Peters, et al.2022 · 122 citations
  36. Pretraining Language Models with Human PreferencesarXiv:2302.08582Tomasz Korbak, Kejian Shi, Angelica Chen, et al.2023 · 121 citations
  37. UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity RecognitionarXiv:2308.03279Wenxuan Zhou, Sheng Zhang, Yu Gu, et al.2023 · 120 citations
  38. XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Davis Liang, Hila Gonen, Yuning Mao, et al.2023 · 120 citations
  39. SaulLM-7B: A pioneering Large Language Model for LawarXiv:2403.03883Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, et al.2024 · 119 citations
  40. Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question AnsweringarXiv:2306.04136Jinheon Baek, Alham Fikri Aji, Amir Saffari2023 · 119 citations
  41. 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
  42. The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-TuningConference on Empirical Methods in Natural Language Processing (EMNLP)Seungone Kim, Se Joo, Doyoung Kim, et al.2023 · 118 citations
  43. A Critical Evaluation of Evaluations for Long-form Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Fangyuan Xu, Yixiao Song, Mohit Iyyer, et al.2023 · 117 citations
  44. Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human EvaluationarXiv:2212.07981Yixin Liu, Alexander R. Fabbri, Pengfei Liu, et al.2022 · 117 citations
  45. Large Language Models Understand and Can be Enhanced by Emotional StimuliarXiv:2307.11760Cheng Li, Jindong Wang, Yixuan Zhang, et al.2023 · 116 citations
  46. PandaGPT: One Model To Instruction-Follow Them AllarXiv:2305.16355Yixuan Su, Tian Lan, Huayang Li, et al.2023 · 115 citations
  47. 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
  48. A Survey on Efficient Inference for Large Language ModelsarXiv:2404.14294Zixuan Zhou, Xuefei Ning, Ke Hong, et al.2024 · 113 citations
  49. ALLaM: Large Language Models for Arabic and EnglisharXiv:2407.15390M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  50. Efficient Large Scale Language Modeling with Mixtures of ExpertsarXiv:2112.10684Mikel Artetxe, Shruti Bhosale, Naman Goyal, et al.2021 · 113 citations
  51. EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt OptimizersarXiv:2309.08532Qingyan Guo, Rui Wang, Junliang Guo, et al.2023 · 111 citations
  52. Reframing Human-AI Collaboration for Generating Free-Text ExplanationsarXiv:2112.08674Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, et al.2021 · 111 citations
  53. Benchmarking Machine Translation with Cultural AwarenessarXiv:2305.14328Binwei Yao, Ming Jiang, Tara Bobinac, et al.2023 · 110 citations
  54. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
  55. 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
  56. Prompt Cache: Modular Attention Reuse for Low-Latency InferenceMLSys 2024In Gim, Guojun Chen, Seung-seob Lee, et al.2023 · 109 citations
  57. LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA CompositionarXiv:2307.13269Chengsong Huang, Qian Liu, Bill Yuchen Lin, et al.2023 · 108 citations
  58. 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
  59. Complementary Explanations for Effective In-Context LearningFindings of the Association for Computational LinguisticsXi Ye, Srinivasan Iyer, Asli Celikyilmaz, et al.2023 · 106 citations
  60. Arcee's MergeKit: A Toolkit for Merging Large Language ModelsarXiv:2403.13257Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, et al.2024 · 105 citations
  61. LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale InstructionsarXiv:2304.14402Minghao Wu, Abdul Waheed, Chiyu Zhang, et al.2023 · 105 citations
  62. Zero-Shot Listwise Document Reranking with a Large Language ModelarXiv:2305.02156Xueguang Ma, Xinyu Zhang, Ronak Pradeep, et al.2023 · 105 citations
  63. Tokenizer Choice For LLM Training: Negligible or Crucial?Findings of the Association for Computational LinguisticsMehdi Ali, Michael Fromm, Klaudia Thellmann, et al.2024 · 104 citations
  64. 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
  65. MMTEB: Massive Multilingual Text Embedding BenchmarkarXiv:2502.13595Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, et al.2025 · 103 citations
  66. PolyLM: An Open Source Polyglot Large Language ModelarXiv:2307.06018Xiangpeng Wei, Haoran Wei, Huan Lin, et al.2023 · 103 citations
  67. BLOOM+1: Adding Language Support to BLOOM for Zero-Shot PromptingAnnual Meeting of the Association for Computational Linguistics (ACL)Zheng Xin Yong, Hailey Schoelkopf, Niklas Muennighoff, et al.2023 · 102 citations
  68. Do Multilingual Language Models Think Better in English?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Julen Etxaniz, Gorka Azkune, Aitor Soroa, et al.2024 · 101 citations
  69. AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the WebarXiv:2305.13117Michael Schlichtkrull, Zhijiang Guo, Andreas Vlachos2023 · 101 citations
  70. FireAct: Toward Language Agent Fine-tuningarXiv:2310.05915Baian Chen, Chang Shu, Ehsan Shareghi, et al.2023 · 101 citations
  71. Rationale-Augmented Ensembles in Language ModelsarXiv:2207.00747Xuezhi Wang, Jason Wei, Dale Schuurmans, et al.2022 · 101 citations
  72. FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every LanguagearXiv:2506.20920Guilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.2025 · 99 citations
  73. Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation InstructionsTransactions of the Association for Computational Linguistics (TACL)Jiahuan Li, Hao Zhou, Shujian Huang, et al.2024 · 99 citations
  74. 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
  75. MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningarXiv:2310.03731Ke Wang, Houxing Ren, Aojun Zhou, et al.2023 · 99 citations
  76. Text and Patterns: For Effective Chain of Thought, It Takes Two to TangoarXiv:2209.07686Aman Madaan, Amir Yazdanbakhsh2022 · 98 citations
  77. AutoWebGLM: A Large Language Model-based Web Navigating AgentACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)Hanyu Lai, Xiao Liu, Iat Long Iong, et al.2024 · 96 citations
  78. Do Llamas Work in English? On the Latent Language of Multilingual TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Chris Wendler, Veniamin Veselovsky, Giovanni Monea, et al.2024 · 96 citations
  79. MAmmoTH2: Scaling Instructions from the WebConference on Neural Information Processing Systems (NeurIPS)Xiang Yue, Tuney Zheng, Ge Zhang, et al.2024 · 96 citations
  80. The Platonic Representation HypothesisarXiv:2405.07987Minyoung Huh, Brian Cheung, Tongzhou Wang, et al.2024 · 96 citations
  81. Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank AdaptationarXiv:2305.15011Haonan Li, Fajri Koto, Minghao Wu, et al.2023 · 96 citations
  82. INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language ModelsarXiv:2306.04757Yew Ken Chia, Pengfei Hong, Lidong Bing, et al.2023 · 96 citations
  83. True Few-Shot Learning with Prompts–-A Real-World PerspectiveTransactions of the Association for Computational Linguistics (TACL)Timo Schick, Hinrich Schütze2022 · 96 citations
  84. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
  85. Dictionary-based Phrase-level Prompting of Large Language Models for Machine TranslationarXiv:2302.07856Marjan Ghazvininejad, Hila Gonen, Luke Zettlemoyer2023 · 95 citations
  86. 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
  87. 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
  88. Having Beer after Prayer? Measuring Cultural Bias in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Tarek Naous, Michael J Ryan, Alan Ritter, et al.2024 · 94 citations
  89. Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via DebateFindings of the Association for Computational LinguisticsKai Xiong, Xiao Ding, Yixin Cao, et al.2023 · 94 citations
  90. 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
  91. LogicBench: Towards Systematic Evaluation of Logical Reasoning Ability of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mihir Parmar, Nisarg Patel, Neeraj Varshney, et al.2024 · 93 citations
  92. How well do Large Language Models perform in Arithmetic tasks?arXiv:2304.02015Zheng Yuan, Hongyi Yuan, Chuanqi Tan, et al.2023 · 93 citations
  93. ChatHaruhi: Reviving Anime Character in Reality via Large Language ModelarXiv:2308.09597Cheng Li, Ziang Leng, Chenxi Yan, et al.2023 · 92 citations
  94. On the Tool Manipulation Capability of Open-source Large Language ModelsarXiv:2305.16504Qiantong Xu, Fenglu Hong, Bo Li, et al.2023 · 92 citations
  95. SeaLLMs — Large Language Models for Southeast AsiaarXiv:2312.00738Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, et al.2023 · 92 citations
  96. What's In My Big Data?arXiv:2310.20707Yanai Elazar, Akshita Bhagia, Ian Magnusson, et al.2023 · 92 citations
  97. LLM Inference Unveiled: Survey and Roofline Model InsightsarXiv 2024Zhihang Yuan, Yuzhang Shang, Yang Zhou, et al.2024 · 91 citations
  98. Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language ModelsarXiv:2306.08018Yin Fang, Xiaozhuan Liang, Ningyu Zhang, et al.2023 · 91 citations
  99. Cross-Lingual Consistency of Factual Knowledge in Multilingual Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jirui Qi, Raquel Fernández, Arianna Bisazza2023 · 90 citations
  100. 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

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