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Who cites Srini Iyer

2,273 citations of their works from 2,085 papers of our library (of the 149,439 whose bibliographies we read) · 477 with a page here, the most cited first · page 3 of 5 · 201–300 · ← Srini Iyer

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  1. Physics of Language Models: Part 3.1, Knowledge Storage and ExtractionarXiv:2309.14316Zeyuan Allen-Zhu, Yuanzhi Li2023 · 116 citations
  2. Natural Language to Code Translation with ExecutionConference on Empirical Methods in Natural Language Processing (EMNLP)Freda Shi, Daniel Fried, Marjan Ghazvininejad, et al.2022 · 116 citations
  3. Inspecting and Editing Knowledge Representations in Language ModelsarXiv:2304.00740Evan Hernandez, Belinda Z. Li, Jacob Andreas2023 · 115 citations
  4. V-STaR: Training Verifiers for Self-Taught ReasonersarXiv:2402.06457Arian Hosseini, Xingdi Yuan, Nikolay Malkin, et al.2024 · 114 citations
  5. Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language ModelsarXiv:2208.03306Margaret Li, Suchin Gururangan, Tim Dettmers, et al.2022 · 114 citations
  6. ALLaM: Large Language Models for Arabic and EnglisharXiv:2407.15390M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
  7. Orca-Math: Unlocking the potential of SLMs in Grade School MatharXiv:2402.14830Arindam Mitra, Hamed Khanpour, Corby Rosset, et al.2024 · 111 citations
  8. EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt OptimizersarXiv:2309.08532Qingyan Guo, Rui Wang, Junliang Guo, et al.2023 · 111 citations
  9. Efficient Large Language Models: A SurveyarXiv:2312.03863Zhongwei Wan, Xin Wang, Che Liu, et al.2023 · 110 citations
  10. GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLPConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tawkat Islam Khondaker, Abdul Waheed, El Moatez Billah Nagoudi, et al.2023 · 110 citations
  11. SemDeDup: Data-efficient learning at web-scale through semantic deduplicationarXiv:2303.09540Amro Abbas, Kushal Tirumala, Dániel Simig, et al.2023 · 108 citations
  12. AMR-To-Text Generation with Graph TransformerTransactions of the Association for Computational Linguistics (TACL)Tianming Wang, Xiaojun Wan, Hanqi Jin2020 · 108 citations
  13. Chain-of-Table: Evolving Tables in the Reasoning Chain for Table UnderstandingarXiv:2401.04398Zilong Wang, Hao Zhang, Chun-Liang Li, et al.2024 · 105 citations
  14. Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttentionUSENIX ATC 2024Bin Gao, Zhuomin He, Puru Sharma, et al.2024 · 105 citations
  15. Self-Edit: Fault-Aware Code Editor for Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Kechi Zhang, Zhuo Li, Jia Li, et al.2023 · 105 citations
  16. PolyLM: An Open Source Polyglot Large Language ModelarXiv:2307.06018Xiangpeng Wei, Haoran Wei, Huan Lin, et al.2023 · 103 citations
  17. Shadow Alignment: The Ease of Subverting Safely-Aligned Language ModelsarXiv:2310.02949Xianjun Yang, Xiao Wang, Qi Zhang, et al.2023 · 103 citations
  18. 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
  19. FireAct: Toward Language Agent Fine-tuningarXiv:2310.05915Baian Chen, Chang Shu, Ehsan Shareghi, et al.2023 · 101 citations
  20. FLASK: Fine-grained Language Model Evaluation based on Alignment Skill SetsarXiv:2307.10928Seonghyeon Ye, Doyoung Kim, Sungdong Kim, et al.2023 · 100 citations
  21. 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
  22. R-Tuning: Instructing Large Language Models to Say ‘I Don't Know'Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Hanning Zhang, Shizhe Diao, Yong Lin, et al.2024 · 99 citations
  23. MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningarXiv:2310.03731Ke Wang, Houxing Ren, Aojun Zhou, et al.2023 · 99 citations
  24. Executing Instructions in Situated Collaborative InteractionsConference on Empirical Methods in Natural Language Processing (EMNLP)Alane Suhr, Claudia Yan, Charlotte Schluger, et al.2019 · 99 citations
  25. Sparse Upcycling: Training Mixture-of-Experts from Dense CheckpointsarXiv:2212.05055Aran Komatsuzaki, Joan Puigcerver, James Lee-Thorp, et al.2022 · 98 citations
  26. Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language ModelsarXiv:2601.18734Siyan Zhao, Zhihui Xie, Mengchen Liu, et al.2026 · 97 citations
  27. Safety Alignment Should Be Made More Than Just a Few Tokens DeeparXiv:2406.05946Xiangyu Qi, Ashwinee Panda, Kaifeng Lyu, et al.2024 · 97 citations
  28. INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large Language ModelsarXiv:2306.04757Yew Ken Chia, Pengfei Hong, Lidong Bing, et al.2023 · 96 citations
  29. SPoC: Search-based Pseudocode to CodearXiv:1906.04908Sumith Kulal, Panupong Pasupat, Kartik Chandra, et al.2019 · 96 citations
  30. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 95 citations
  31. InterCode: Standardizing and Benchmarking Interactive Coding with Execution FeedbackConference on Neural Information Processing Systems (NeurIPS)John Yang, Akshara Prabhakar, Karthik Narasimhan, et al.2023 · 95 citations
  32. Training Socially Aligned Language Models on Simulated Social InteractionsarXiv:2305.16960Ruibo Liu, Ruixin Yang, Chenyan Jia, et al.2023 · 94 citations
  33. WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language ModelsConference on Neural Information Processing Systems (NeurIPS)Liwei Jiang, Kavel Rao, Seungju Han, et al.2024 · 92 citations
  34. A Survey of Reinforcement Learning from Human FeedbackTransactions on Machine Learning ResearchTimo Kaufmann, Paul Weng, Viktor Bengs, et al.2023 · 92 citations
  35. On the Tool Manipulation Capability of Open-source Large Language ModelsarXiv:2305.16504Qiantong Xu, Fenglu Hong, Bo Li, et al.2023 · 92 citations
  36. Universal Self-Consistency for Large Language Model GenerationarXiv:2311.17311Xinyun Chen, Renat Aksitov, Uri Alon, et al.2023 · 92 citations
  37. Accelerating Distributed MoE Training and Inference with LinaarXiv:2210.17223Jiamin Li, Yimin Jiang, Yibo Zhu, et al.2022 · 92 citations
  38. Rephrasing the Web: A Recipe for Compute and Data-Efficient Language ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Pratyush Maini, Skyler Seto, Richard Bai, et al.2024 · 90 citations
  39. RQ-RAG: Learning to Refine Queries for Retrieval Augmented GenerationarXiv:2404.00610Chi-Min Chan, Chunpu Xu, Ruibin Yuan, et al.2024 · 90 citations
  40. Alignment for HonestyConference on Neural Information Processing Systems (NeurIPS)Yuqing Yang, Ethan Chern, Xipeng Qiu, et al.2023 · 90 citations
  41. 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
  42. Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence TasksConference on Empirical Methods in Natural Language Processing (EMNLP)Andrea Sottana, Bin Liang, Kai Zou, et al.2023 · 89 citations
  43. Task Contamination: Language Models May Not Be Few-Shot AnymoreProceedings of the AAAI Conference on Artificial IntelligenceChangmao Li, Jeffrey Flanigan2023 · 89 citations
  44. Small Language Models: Survey, Measurements, and InsightsarXiv:2409.15790Zhenyan Lu, Xiang Li, Dongqi Cai, et al.2024 · 88 citations
  45. MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code GenerationarXiv:2208.08227Federico Cassano, John Gouwar, Daniel Nguyen, et al.2022 · 88 citations
  46. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
  47. BayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language ModelsarXiv:2306.10968Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, et al.2023 · 85 citations
  48. Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language GenerationTransactions of the Association for Computational Linguistics (TACL)Patrick Fernandes, Aman Madaan, Emmy Liu, et al.2023 · 84 citations
  49. Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD ExamplesConference on Neural Information Processing Systems (NeurIPS)Abulhair Saparov, Richard Yuanzhe Pang, Vishakh Padmakumar, et al.2023 · 84 citations
  50. Large Language Model Instruction Following: A Survey of Progresses and ChallengesComputational LinguisticsRenze Lou, Kai Zhang, Wenpeng Yin2024 · 83 citations
  51. Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal ModelarXiv:2408.11039Chunting Zhou, Lili Yu, Arun Babu, et al.2024 · 83 citations
  52. DOC: Improving Long Story Coherence With Detailed Outline ControlAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Yang, Dan Klein, Nanyun Peng, et al.2023 · 83 citations
  53. PRD: Peer Rank and Discussion Improve Large Language Model based EvaluationsarXiv:2307.02762Ruosen Li, Teerth Patel, Xinya Du2023 · 83 citations
  54. MART: Improving LLM Safety with Multi-round Automatic Red-TeamingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Suyu Ge, Chunting Zhou, Rui Hou, et al.2024 · 82 citations
  55. 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
  56. MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to UsearXiv:2310.03128Yue Huang, Jiawen Shi, Yuan Li, et al.2023 · 81 citations
  57. PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language ModelsarXiv:2402.07867Wei Zou, Runpeng Geng, Binghui Wang, et al.2024 · 80 citations
  58. A Survey on Test-Time Scaling in Large Language Models: What, How, Where, and How Well?arXiv:2503.24235Qiyuan Zhang, Fuyuan Lyu, Zexu Sun, et al.2025 · 79 citations
  59. Common 7B Language Models Already Possess Strong Math CapabilitiesarXiv:2403.04706Chen Li, Weiqi Wang, Jingcheng Hu, et al.2024 · 79 citations
  60. Multilingual Instruction Tuning With Just a Pinch of MultilingualityFindings of the Association for Computational LinguisticsUri Shaham, Jonathan Herzig, Roee Aharoni, et al.2024 · 78 citations
  61. Language models are not naysayers: An analysis of language models on negation benchmarksJoint Conference on Lexical and Computational Semantics (*SEM)Thinh Hung Truong, Timothy Baldwin, Karin Verspoor, et al.2023 · 78 citations
  62. JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Rajas Agashe, Srinivasan Iyer, Luke Zettlemoyer2019 · 75 citations
  63. Instruction Mining: Instruction Data Selection for Tuning Large Language ModelsarXiv:2307.06290Yihan Cao, Yanbin Kang, Chi Wang, et al.2023 · 74 citations
  64. Physics of Language Models: Part 3.2, Knowledge ManipulationarXiv:2309.14402Zeyuan Allen-Zhu, Yuanzhi Li2023 · 72 citations
  65. Skeleton-of-Thought: Prompting LLMs for Efficient Parallel GenerationarXiv:2307.15337Xuefei Ning, Zinan Lin, Zixuan Zhou, et al.2023 · 72 citations
  66. code2seq: Generating Sequences from Structured Representations of CodearXiv:1808.01400Uri Alon, Shaked Brody, Omer Levy, et al.2018 · 72 citations
  67. Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive TasksConference on Neural Information Processing Systems (NeurIPS)Minki Kang, Seanie Lee, Jinheon Baek, et al.2023 · 71 citations
  68. 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
  69. Self-Alignment for Factuality: Mitigating Hallucinations in LLMs via Self-EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoying Zhang, Baolin Peng, Ye Tian, et al.2024 · 69 citations
  70. 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
  71. Execution-Based Evaluation for Open-Domain Code GenerationFindings of the Association for Computational LinguisticsZhiruo Wang, Shuyan Zhou, Daniel Fried, et al.2023 · 69 citations
  72. Branch-Solve-Merge Improves Large Language Model Evaluation and GenerationarXiv:2310.15123Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, et al.2023 · 68 citations
  73. Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit FeedbackAnnual Meeting of the Association for Computational Linguistics (ACL)Carolin Lawrence, Stefan Riezler2018 · 68 citations
  74. Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language ModelsarXiv:2402.13064Haoran Li, Qingxiu Dong, Zhengyang Tang, et al.2024 · 65 citations
  75. DuSQL: A Large-Scale and Pragmatic Chinese Text-to-SQL DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Lijie Wang, Ao Zhang, Kun Wu, et al.2020 · 64 citations
  76. Self-Distillation Bridges Distribution Gap in Language Model Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaorui Yang, Tianyu Pang, Haozhe Feng, et al.2024 · 63 citations
  77. Natural Language to Code Generation in Interactive Data Science NotebooksAnnual Meeting of the Association for Computational Linguistics (ACL)Pengcheng Yin, Wen-Ding Li, Kefan Xiao, et al.2023 · 63 citations
  78. Learning an Executable Neural Semantic ParserComputational LinguisticsJianpeng Cheng, Siva Reddy, Vijay Saraswat, et al.2019 · 63 citations
  79. Multimodal Table UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyu Zheng, Xinwei Feng, Qingyi Si, et al.2024 · 62 citations
  80. OpenAgents: An Open Platform for Language Agents in the WildarXiv:2310.10634Tianbao Xie, Fan Zhou, Zhoujun Cheng, et al.2023 · 62 citations
  81. SatLM: Satisfiability-Aided Language Models Using Declarative PromptingConference on Neural Information Processing Systems (NeurIPS)Xi Ye, Qiaochu Chen, Isil Dillig, et al.2023 · 62 citations
  82. 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
  83. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-TuningarXiv:2402.00530Ming Li, Yong Zhang, Shwai He, et al.2024 · 60 citations
  84. Shepherd: A Critic for Language Model GenerationarXiv:2308.04592Tianlu Wang, Ping Yu, Xiaoqing Ellen Tan, et al.2023 · 60 citations
  85. 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
  86. 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
  87. EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent EducationarXiv:2308.02773Yuhao Dan, Zhikai Lei, Yiyang Gu, et al.2023 · 58 citations
  88. Unintended Impacts of LLM Alignment on Global RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Michael J Ryan, William Held, Diyi Yang2024 · 57 citations
  89. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
  90. Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse PromptsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuan-Phi Nguyen, Mahani Aljunied, Shafiq Joty, et al.2024 · 55 citations
  91. DeepSeek-OCR: Contexts Optical CompressionarXiv:2510.18234Haoran Wei, Yaofeng Sun, Yukun Li2025 · 54 citations
  92. In-context Learning with Retrieved Demonstrations for Language Models: A SurveyarXiv:2401.11624Man Luo, Xin Xu, Yue Liu, et al.2024 · 54 citations
  93. From Decoding to Meta-Generation: Inference-time Algorithms for Large Language ModelsarXiv:2406.16838Sean Welleck, Amanda Bertsch, Matthew Finlayson, et al.2024 · 51 citations
  94. XCodeEval: An Execution-based Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.2024 · 51 citations
  95. Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMRJuri Opitz, Anette Frank2021 · 51 citations
  96. TIGERScore: Towards Building Explainable Metric for All Text Generation TasksarXiv:2310.00752Dongfu Jiang, Yishan Li, Ge Zhang, et al.2023 · 50 citations
  97. PanGu-Coder: Program Synthesis with Function-Level Language ModelingarXiv:2207.11280Fenia Christopoulou, Gerasimos Lampouras, Milan Gritta, et al.2022 · 49 citations
  98. Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generationThiago Castro Ferreira, Iacer Calixto, Sander Wubben, et al.2017 · 47 citations
  99. Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
  100. Stable LM 2 1.6B Technical ReportarXiv:2402.17834Marco Bellagente, Jonathan Tow, Dakota Mahan, et al.2024 · 46 citations

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