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Who cites Neeraj Varshney

797 citations of their works from 766 papers of our library (of the 149,439 whose bibliographies we read) · 206 with a page here, the most cited first · page 2 of 3 · 101–200 · ← Neeraj Varshney

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  1. Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuningConference on Empirical Methods in Natural Language Processing (EMNLP)Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, et al.2024 · 86 citations
  2. TableLlama: Towards Open Large Generalist Models for TablesarXiv:2311.09206Tianshu Zhang, Xiang Yue, Yifei Li, et al.2023 · 82 citations
  3. Style Over Substance: Evaluation Biases for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Minghao Wu, Alham Fikri Aji2025 · 81 citations
  4. 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
  5. Multilingual Large Language Model: A Survey of Resources, Taxonomy and FrontiersarXiv:2404.04925Libo Qin, Qiguang Chen, Yuhang Zhou, et al.2024 · 75 citations
  6. PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics CapabilitiesSettaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.2024 · 75 citations
  7. 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
  8. Instruction Mining: Instruction Data Selection for Tuning Large Language ModelsarXiv:2307.06290Yihan Cao, Yanbin Kang, Chi Wang, et al.2023 · 74 citations
  9. MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics BenchmarkFindings of the Association for Computational LinguisticsHongwei Liu, Zilong Zheng, Yuxuan Qiao, et al.2024 · 70 citations
  10. Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language ModelsarXiv:2305.14705Sheng Shen, Le Hou, Yanqi Zhou, et al.2023 · 70 citations
  11. Sensitivity, Performance, Robustness: Deconstructing the Effect of Sociodemographic PromptingConference of the European Chapter of the Association for Computational Linguistics (EACL)Tilman Beck, Hendrik Schuff, Anne Lauscher, et al.2024 · 69 citations
  12. Learning by Distilling ContextarXiv:2209.15189Charlie Snell, Dan Klein, Ruiqi Zhong2022 · 67 citations
  13. Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language ModelsarXiv:2402.13064Haoran Li, Qingxiu Dong, Zhengyang Tang, et al.2024 · 65 citations
  14. 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
  15. Exploring the Benefits of Training Expert Language Models over Instruction TuningarXiv:2302.03202Joel Jang, Seungone Kim, Seonghyeon Ye, et al.2023 · 63 citations
  16. Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use CasesarXiv:2303.14742Yunjie Ji, Yong Deng, Yan Gong, et al.2023 · 62 citations
  17. One-Shot Learning as Instruction Data Prospector for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yunshui Li, Binyuan Hui, Xiaobo Xia, et al.2024 · 61 citations
  18. In-context Pretraining: Language Modeling Beyond Document BoundariesarXiv:2310.10638Weijia Shi, Sewon Min, Maria Lomeli, et al.2023 · 61 citations
  19. ZebraLogic: On the Scaling Limits of LLMs for Logical ReasoningarXiv:2502.01100Bill Yuchen Lin, Ronan Le Bras, Kyle Richardson, et al.2025 · 60 citations
  20. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-TuningarXiv:2402.00530Ming Li, Yong Zhang, Shwai He, et al.2024 · 60 citations
  21. TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic VarietiesArabic Natural Language Processing Conference (ArabicNLP)Karima Kadaoui, Samar M. Magdy, Abdul Waheed, et al.2023 · 60 citations
  22. Instruction Pre-Training: Language Models are Supervised Multitask LearnersConference on Empirical Methods in Natural Language Processing (EMNLP)Daixuan Cheng, Yuxian Gu, Shaohan Huang, et al.2024 · 59 citations
  23. MAPO: Advancing Multilingual Reasoning through Multilingual-Alignment-as-Preference OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Shuaijie She, Wei Zou, Shujian Huang, et al.2024 · 59 citations
  24. BIG-Bench Extra HardAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Bahare Fatemi, Hritik Bansal, et al.2025 · 58 citations
  25. ChatQA: Surpassing GPT-4 on Conversational QA and RAGConference on Neural Information Processing Systems (NeurIPS)Zihan Liu, Wei Ping, Rajarshi Roy, et al.2024 · 58 citations
  26. DARWIN Series: Domain Specific Large Language Models for Natural SciencearXiv:2308.13565Tong Xie, Yuwei Wan, Wei Huang, et al.2023 · 55 citations
  27. TIGERScore: Towards Building Explainable Metric for All Text Generation TasksarXiv:2310.00752Dongfu Jiang, Yishan Li, Ge Zhang, et al.2023 · 50 citations
  28. Puzzle Solving using Reasoning of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Panagiotis Giadikiaroglou, Maria Lymperaiou, Giorgos Filandrianos, et al.2024 · 48 citations
  29. Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Taiqiang Wu, Chaofan Tao, Jiahao Wang, et al.2025 · 47 citations
  30. On Memorization of Large Language Models in Logical ReasoningInternational Joint Conference on Natural Language Processing (IJCNLP)Chulin Xie, Yangsibo Huang, Chiyuan Zhang, et al.2025 · 45 citations
  31. HyperCLOVA X Technical ReportarXiv:2404.01954Kang Min Yoo, Jaegeun Han, Sookyo In, et al.2024 · 44 citations
  32. Goal Driven Discovery of Distributional Differences via Language DescriptionsarXiv:2302.14233Ruiqi Zhong, Peter Zhang, Steve Li, et al.2023 · 42 citations
  33. Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved SamplingarXiv:2410.11325Wenda Xu, Rujun Han, Zifeng Wang, et al.2024 · 41 citations
  34. SALMON: Self-Alignment with Instructable Reward ModelsarXiv:2310.05910Zhiqing Sun, Yikang Shen, Hongxin Zhang, et al.2023 · 41 citations
  35. The MiniPile Challenge for Data-Efficient Language ModelsarXiv:2304.08442Jean Kaddour2023 · 41 citations
  36. FollowIR: Evaluating and Teaching Information Retrieval Models to Follow InstructionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Orion Weller, Benjamin Chang, Sean MacAvaney, et al.2025 · 40 citations
  37. 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
  38. Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Nisarg Patel, Mohith Kulkarni, Mihir Parmar, et al.2024 · 39 citations
  39. Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and ParaphrasingarXiv:2305.16635Jaehun Jung, Peter West, Liwei Jiang, et al.2023 · 36 citations
  40. Through the Lens of Core Competency: Survey on Evaluation of Large Language ModelsarXiv:2308.07902Ziyu Zhuang, Qiguang Chen, Longxuan Ma, et al.2023 · 35 citations
  41. M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language ModelsarXiv:2305.10263Chuang Liu, Renren Jin, Yuqi Ren, et al.2023 · 34 citations
  42. Evaluating Language Models as Synthetic Data GeneratorsAnnual Meeting of the Association for Computational Linguistics (ACL)Seungone Kim, Juyoung Suk, Xiang Yue, et al.2025 · 32 citations
  43. 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
  44. CIDAR: Culturally Relevant Instruction Dataset For ArabicFindings of the Association for Computational LinguisticsZaid Alyafeai, Khalid Almubarak, Ahmed Ashraf, et al.2024 · 30 citations
  45. 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
  46. SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific LiteratureConference on Empirical Methods in Natural Language Processing (EMNLP)David Wadden, Kejian Shi, Jacob Morrison, et al.2025 · 27 citations
  47. 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
  48. From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction TuningarXiv:2304.07995Qian Liu, Fan Zhou, Zhengbao Jiang, et al.2023 · 24 citations
  49. COLLIE: Systematic Construction of Constrained Text Generation TasksarXiv:2307.08689Shunyu Yao, Howard Chen, Austin W. Hanjie, et al.2023 · 23 citations
  50. 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
  51. The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model designConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Artem Snegirev, Maria Tikhonova, Maksimova Anna, et al.2025 · 19 citations
  52. Suri: Multi-constraint Instruction Following in Long-form Text GenerationFindings of the Association for Computational LinguisticsChau Minh Pham, Simeng Sun, Mohit Iyyer2024 · 19 citations
  53. Timo: Towards Better Temporal Reasoning for Language ModelsarXiv:2406.14192Zhaochen Su, Jun Zhang, Tong Zhu, et al.2024 · 19 citations
  54. Quality-Diversity through AI FeedbackarXiv:2310.13032Herbie Bradley, Andrew Dai, Hannah Teufel, et al.2023 · 19 citations
  55. 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
  56. Jais 2: A Family of Arabic-Centric Open Large Language ModelsarXiv:2608.13580Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim, et al.2026 · 14 citations
  57. BALSAM: A Platform for Benchmarking Arabic Large Language ModelsArabic Natural Language Processing Conference (ArabicNLP)Rawan Al-Matham, Kareem Darwish, Raghad Al-Rasheed, et al.2025 · 14 citations
  58. EducationQ: Evaluating LLMs' Teaching Capabilities Through Multi-Agent Dialogue FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Shi, Rongkeng Liang, Yong Xu2025 · 14 citations
  59. Novice Learner and Expert Tutor: Evaluating Math Reasoning Abilities of Large Language Models with MisconceptionsarXiv:2310.02439Naiming Liu, Shashank Sonkar, Zichao Wang, et al.2023 · 14 citations
  60. Semantic-Aware Logical Reasoning via a Semiotic FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Yunyao Zhang, Xinglang Zhang, Junxi Sheng, et al.2026 · 13 citations
  61. ToDi: Token-wise Distillation via Fine-Grained Divergence ControlConference on Empirical Methods in Natural Language Processing (EMNLP)Seongryong Jung, Suwan Yoon, DongGeon Kim, et al.2025 · 12 citations
  62. Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionInternational Conference on Computational Linguistics (COLING)Yuming Yang, Wantong Zhao, Caishuang Huang, et al.2025 · 11 citations
  63. 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
  64. EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language ModelsarXiv:2402.11430Jun Gao, Huan Zhao, Wei Wang, et al.2024 · 11 citations
  65. FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language ModelsInternational Conference on Computational Linguistics (COLING)Tao Fan, Guoqiang Ma, Yan Kang, et al.2025 · 10 citations
  66. WildFeedback: Aligning LLMs With In-situ User Interactions And FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Taiwei Shi, Zhuoer Wang, Longqi Yang, et al.2026 · 9 citations
  67. Evaluating Arabic Large Language Models: A Survey of Benchmarks, Methods, and GapsarXiv:2510.13430Ahmed Alzubaidi, Shaikha Alsuwaidi, Basma El Amel Boussaha, et al.2025 · 8 citations
  68. LogicPro: Improving Complex Logical Reasoning via Program-Guided LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Jiang, Yuchen Yan, Yang Liu, et al.2025 · 8 citations
  69. Beyond Logits: Aligning Feature Dynamics for Effective Knowledge DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Guoqiang Gong, Jiaxing Wang, Jin Xu, et al.2025 · 7 citations
  70. QUDSELECT: Selective Decoding for Questions Under Discussion ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Ashima Suvarna, Xiao Liu, Tanmay Parekh, et al.2024 · 7 citations
  71. LLM-Oriented Token-Adaptive Knowledge DistillationarXiv:2510.11615Xurong Xie, Zhucun Xue, Jiafu Wu, et al.2025 · 6 citations
  72. Sparse Logit Sampling: Accelerating Knowledge Distillation in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Anshumann, Mohd Abbas Zaidi, Akhil Kedia, et al.2025 · 6 citations
  73. CURE-Med: Curriculum-Informed Reinforcement Learning for Multilingual Medical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Eric Onyame, Akash Ghosh, Subhadip Baidya, et al.2026 · 5 citations
  74. KnowRL: Exploring Knowledgeable Reinforcement Learning for FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Baochang Ren, Shuofei Qiao, Ningyu Zhang, et al.2026 · 5 citations
  75. InductionBench: LLMs Fail in the Simplest Complexity ClassAnnual Meeting of the Association for Computational Linguistics (ACL)Wenyue Hua, Tyler Wong, Fei Sun, et al.2025 · 5 citations
  76. Uncertainty Distillation: Teaching Language Models to Express Semantic ConfidencearXiv:2503.14749Sophia Hager; David Mueller; Kevin Duh;, Nicholas Andrews2025 · 5 citations
  77. Evaluating Numeracy of Language Models as a Natural Language Inference TaskFindings of the Association for Computational LinguisticsRahmad Mahendra, Damiano Spina, Lawrence Cavedon, et al.2025 · 4 citations
  78. Less is More: Selective Reflection for Compatible and Efficient Knowledge Distillation in Large Language ModelsarXiv:2508.06135Lingyuan Liu, Mengxiang Zhang2025 · 4 citations
  79. Instructions are all you need: Self-supervised Reinforcement Learning for Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Qingyu Ren, Qianyu He, Powei Chang, et al.2026 · 3 citations
  80. What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete KnowledgeConference of the European Chapter of the Association for Computational Linguistics (EACL)Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, et al.2026 · 3 citations
  81. Multi-Granularity Semantic Revision for Large Language Model DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyu Liu, Yun Zhang, Wei Li, et al.2026 · 2 citations
  82. A Survey of Deep Learning for Geometry Problem SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Jianzhe Ma, Wenxuan Wang, Qin Jin2026 · 1 citation
  83. HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective OptimizationInternational Workshop on Semantic Evaluation (SemEval)Abdullah Shaikh, Zain Naqi, Taha Zahid, et al.2026 · 1 citation
  84. PromptLab: A Collaborative Platform for Prompt Engineering and Dataset CurationConference of the European Chapter of the Association for Computational Linguistics (EACL)Maged S. Al-shaibani, Zaid Alyafeai, Dania Refai, et al.2026 · 1 citation
  85. ReportLogic: Evaluating Logical Quality in Deep Research ReportsAnnual Meeting of the Association for Computational Linguistics (ACL)Jujia Zhao, Zhaoxin Huan, Zihan Wang, et al.2026 · 1 citation
  86. HAMSA: Hijacking Aligned Compact Models via Stealthy AutomationarXiv:2508.16484Alexey Krylov, Iskander Vagizov, Dmitrii Korzh, et al.2025 · 1 citation
  87. HeBID: Detecting Social Identities in Hebrew-language Political TextGuy Mor-Lan, Naama Rivlin-Angert, Yael R. Kaplan, et al.2025 · 1 citation
  88. A Herd of Language Models Makes a Better Zero-shot Annotator for Clinical Named Entity RecognitionFindings of the Association for Computational LinguisticsSeiji Shimizu, Shoko Wakamiya, Eiji Aramaki2026
  89. Agentic Episodic ControlFindings of the Association for Computational LinguisticsXidong Yang, Wenhao Li, Junjie Sheng, et al.2026
  90. Anchored Sliding Window: Toward Robust and Imperceptible Linguistic SteganographyAnnual Meeting of the Association for Computational Linguistics (ACL)Ruiyi Yan, Shiao Meng, Yugo Murawaki2026
  91. Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yujia Zheng, Tianhao Li, Haotian Huang, et al.2026
  92. Calibrated Progressive Distillation: Co-Designing Curriculum and Target Mixing for Knowledge Distillation of Large Language ModelsFindings of the Association for Computational LinguisticsMengxiang Zhang, Lingyuan Liu2026
  93. CaPEdit: Capability-Preserving Lifelong Knowledge Editing For Language ModelsFindings of the Association for Computational LinguisticsSong-Li Wu, Zhaocheng Du, Xianquan Wang, et al.2026
  94. CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor TrapsLanguage Resources and Evaluation Conference (LREC)Jungmin Yun, June Hyoung Kwon, Youngbin Kim2026
  95. ExpressivityBench: Can LLMs Communicate Implicitly?Findings of the Association for Computational LinguisticsJoshua Tint, Som Sagar, Aditya Taparia, et al.2026
  96. Generation of Instruction and Preference Dataset for Improving Japanese Instruction Following in LLMsLanguage Resources and Evaluation Conference (LREC)Kei Moriyama, Takashi Kodama, Kouta Nakayama2026
  97. How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM PipelinearXiv:2604.04204Mir Tafseer Nayeem, Davood Rafiei2026
  98. ImpRIF: Stronger Implicit Reasoning Leads to Better Complex Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuancheng Yang, Lin Yang, Xu Wang, et al.2026
  99. InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in SummarizationLanguage Resources and Evaluation Conference (LREC)Kosuke Nishida, Kyosuke Nishida, Itsumi Saito2026
  100. Learning from Evolving Training Dynamics: An Entropy-Maximizing Data Curation Strategy for LLM Supervised Post-TrainingAnnual Meeting of the Association for Computational Linguistics (ACL)Mengxiang Zhang, Lingyuan Liu2026

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