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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 1 of 5 · 1–100 · ← Srini Iyer

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  1. Llama 2: Open Foundation and Fine-Tuned Chat ModelsarXiv:2307.09288Hugo Touvron, Louis Martin, Kevin Stone, et al.2023 · 9,669 citations
  2. LLaMA: Open and Efficient Foundation Language ModelsarXiv:2302.13971Hugo Touvron, Thibaut Lavril, Gautier Izacard, et al.2023 · 9,603 citations
  3. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  4. Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,974 citations
  5. Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaConference on Neural Information Processing Systems (NeurIPS)Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 4,573 citations
  6. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
  7. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  8. CodeBERT: A Pre-Trained Model for Programming and Natural LanguagesFindings of the Association for Computational LinguisticsZhangyin Feng, Daya Guo, Duyu Tang, et al.2020 · 2,967 citations
  9. QLoRA: Efficient Finetuning of Quantized LLMsConference on Neural Information Processing Systems (NeurIPS)Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, et al.2023 · 2,929 citations
  10. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
  11. Visual Instruction TuningarXiv:2304.08485Haotian Liu, Chunyuan Li, Qingyang Wu, et al.2023 · 2,617 citations
  12. Improved Baselines with Visual Instruction TuningIEEE Computer Society Conference on Computer Vision and Pattern RecognitionHaotian Liu, Chunyuan Li, Yuheng Li, et al.2023 · 2,614 citations
  13. Emergent Abilities of Large Language ModelsarXiv:2206.07682Jason Wei, Yi Tay, Rishi Bommasani, et al.2022 · 2,269 citations
  14. Training Compute-Optimal Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, et al.2022 · 2,032 citations
  15. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  16. OPT: Open Pre-trained Transformer Language ModelsarXiv:2205.01068Susan Zhang, Stephen Roller, Naman Goyal, et al.2022 · 1,755 citations
  17. Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL TaskConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Yu, Rui Zhang, Kai Yang, et al.2018 · 1,602 citations
  18. Unifying Large Language Models and Knowledge Graphs: A RoadmapIEEE Transactions on Knowledge and Data EngineeringShirui Pan, Linhao Luo, Yufei Wang, et al.2023 · 1,551 citations
  19. Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?Conference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Xinxi Lyu, Ari Holtzman, et al.2022 · 1,444 citations
  20. A Comprehensive Overview of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyHumza Naveed, Asad Ullah Khan, Shi Qiu, et al.2023 · 1,287 citations
  21. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,272 citations
  22. Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement LearningarXiv:1709.00103Victor Zhong, Caiming Xiong, Richard Socher2017 · 1,226 citations
  23. Program Synthesis with Large Language ModelsarXiv:2108.07732Jacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,192 citations
  24. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyarXiv:2312.02003Yifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,186 citations
  25. A Survey on In-context LearningarXiv:2301.00234Qingxiu Dong, Lei Li, Damai Dai, et al.2023 · 978 citations
  26. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational LinguisticsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 977 citations
  27. Learning to Ask: Neural Question Generation for Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL)Xinya Du, Junru Shao, Claire Cardie2017 · 917 citations
  28. TaPas: Weakly Supervised Table Parsing via Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, et al.2020 · 847 citations
  29. GPT-NeoX-20B: An Open-Source Autoregressive Language ModelBigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language ModelsSidney Black, Stella Biderman, Eric Hallahan, et al.2022 · 831 citations
  30. Explainability for Large Language Models: A SurveyACM Transactions on Intelligent Systems and TechnologyHaiyan Zhao, Hanjie Chen, Fan Yang, et al.2023 · 790 citations
  31. GLM-130B: An Open Bilingual Pre-trained ModelarXiv:2210.02414Aohan Zeng, Xiao Liu, Zhengxiao Du, et al.2022 · 786 citations
  32. HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging FaceConference on Neural Information Processing Systems (NeurIPS)Yongliang Shen, Kaitao Song, Xu Tan, et al.2023 · 756 citations
  33. RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL ParsersAnnual Meeting of the Association for Computational Linguistics (ACL)Bailin Wang, Richard Shin, Xiaodong Liu, et al.2020 · 753 citations
  34. Unified Pre-training for Program Understanding and GenerationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.2021 · 750 citations
  35. CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model SocietyConference on Neural Information Processing Systems (NeurIPS)Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, et al.2023 · 706 citations
  36. Crosslingual Generalization through Multitask FinetuningarXiv:2211.01786Niklas Muennighoff, Thomas Wang, Lintang Sutawika, et al.2022 · 703 citations
  37. ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All ToolsarXiv:2406.12793Team GLM, Aohan Zeng, Bin Xu, et al.2024 · 691 citations
  38. Instruction Tuning with GPT-4arXiv:2304.03277Baolin Peng, Chunyuan Li, Pengcheng He, et al.2023 · 662 citations
  39. CodeSearchNet Challenge: Evaluating the State of Semantic Code SearcharXiv:1909.09436Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, et al.2020 · 656 citations
  40. Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code GenerationConference on Neural Information Processing Systems (NeurIPS)Jiawei Liu, Chunqiu Steven Xia, Yuyao Wang, et al.2023 · 648 citations
  41. MetaGPT: Meta Programming for A Multi-Agent Collaborative FrameworkarXiv:2308.00352Sirui Hong, Mingchen Zhuge, Jiaqi Chen, et al.2023 · 630 citations
  42. s1: Simple test-time scalingConference on Empirical Methods in Natural Language Processing (EMNLP)Niklas Muennighoff, Zitong Yang, Weijia Shi, et al.2025 · 608 citations
  43. The Flan Collection: Designing Data and Methods for Effective Instruction TuningarXiv:2301.13688Shayne Longpre, Le Hou, Tu Vu, et al.2023 · 607 citations
  44. Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought PromptingConference on Neural Information Processing Systems (NeurIPS)Miles Turpin, Julian Michael, Ethan Perez, et al.2023 · 586 citations
  45. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodearXiv:2403.07974Naman Jain, King Han, Alex Gu, et al.2024 · 578 citations
  46. MetaMath: Bootstrap Your Own Mathematical Questions for Large Language ModelsarXiv:2309.12284Longhui Yu, Weisen Jiang, Han Shi, et al.2023 · 565 citations
  47. Gorilla: Large Language Model Connected with Massive APIsConference on Neural Information Processing Systems (NeurIPS)Shishir G. Patil, Tianjun Zhang, Xin Wang, et al.2023 · 546 citations
  48. TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with RecommendationarXiv:2305.00447Keqin Bao; Jizhi Zhang; Yang Zhang; Wenjie Wang; Fuli Feng;, Xiangnan He2023 · 531 citations
  49. Instruction Tuning for Large Language Models: A SurveyACM Computing SurveysShengyu Zhang, Linfeng Dong, Xiaoya Li, et al.2023 · 520 citations
  50. Orca: A Distributed Serving System for Transformer-Based Generative ModelsOSDI 2022Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, et al.2022 · 478 citations
  51. Large Language Models: A SurveyarXiv:2402.06196Shervin Minaee, Tomas Mikolov, Narjes Nikzad, et al.2024 · 471 citations
  52. Graph-to-Sequence Learning using Gated Graph Neural NetworksAnnual Meeting of the Association for Computational Linguistics (ACL)Daniel Beck, Gholamreza Haffari, Trevor Cohn2018 · 459 citations
  53. The Falcon Series of Open Language ModelsarXiv:2311.16867Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, et al.2023 · 443 citations
  54. Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLsConference on Neural Information Processing Systems (NeurIPS)Jinyang Li, Binyuan Hui, Ge Qu, et al.2023 · 433 citations
  55. A Transformer-based Approach for Source Code SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.2020 · 431 citations
  56. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
  57. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingarXiv:2411.15124Nathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 423 citations
  58. Yi: Open Foundation Models by 01.AIarXiv:2403.04652Alex Young, Bei Chen, Chao Li, et al.2024 · 408 citations
  59. Enhancing Chat Language Models by Scaling High-quality Instructional ConversationsarXiv:2305.14233Ning Ding, Yulin Chen, Bokai Xu, et al.2023 · 402 citations
  60. FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUarXiv:2303.06865Ying Sheng, Lianmin Zheng, Binhang Yuan, et al.2023 · 402 citations
  61. Construction of the Literature Graph in Semantic ScholarConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, et al.2018 · 400 citations
  62. Llama Guard: LLM-based Input-Output Safeguard for Human-AI ConversationsarXiv:2312.06674Hakan Inan, Kartikeya Upasani, Jianfeng Chi, et al.2023 · 395 citations
  63. Tool Learning with Foundation ModelsACM Computing SurveysYujia Qin, Shengding Hu, Yankai Lin, et al.2023 · 383 citations
  64. Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question ComplexityConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Soyeong Jeong, Jinheon Baek, Sukmin Cho, et al.2024 · 382 citations
  65. SQLNet: Generating Structured Queries From Natural Language Without Reinforcement LearningarXiv:1711.04436Xiaojun Xu, Chang Liu, Dawn Song2017 · 372 citations
  66. Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-ServeOSDI 2024Amey Agrawal, Nitin Kedia, Ashish Panwar, et al.2024 · 369 citations
  67. Augmented Language Models: a SurveyarXiv:2302.07842Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 369 citations
  68. A Survey on Large Language Models for Code GenerationACM Transactions on Software Engineering and MethodologyJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 367 citations
  69. SpeechGPT: Empowering Large Language Models with Intrinsic Cross-Modal Conversational AbilitiesFindings of the Association for Computational LinguisticsDong Zhang, Shimin Li, Xin Zhang, et al.2023 · 347 citations
  70. A Graph-to-Sequence Model for AMR-to-Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Linfeng Song, Yue Zhang, Zhiguo Wang, et al.2018 · 330 citations
  71. CRITIC: Large Language Models Can Self-Correct with Tool-Interactive CritiquingarXiv:2305.11738Zhibin Gou, Zhihong Shao, Yeyun Gong, et al.2023 · 326 citations
  72. MM-LLMs: Recent Advances in MultiModal Large Language ModelsFindings of the Association for Computational LinguisticsDuzhen Zhang, Yahan Yu, Jiahua Dong, et al.2024 · 320 citations
  73. The Adverse Effects of Code Duplication in Machine Learning Models of CodearXiv:1812.06469Miltiadis Allamanis2018 · 319 citations
  74. How Far Can Camels Go? Exploring the State of Instruction Tuning on Open ResourcesConference on Neural Information Processing Systems (NeurIPS)Yizhong Wang, Hamish Ivison, Pradeep Dasigi, et al.2023 · 317 citations
  75. Good-Enough Compositional Data AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Jacob Andreas2020 · 313 citations
  76. Learning to Mine Aligned Code and Natural Language Pairs from Stack OverflowarXiv:1805.08949Pengcheng Yin, Bowen Deng, Edgar Chen, et al.2018 · 308 citations
  77. Character-LLM: A Trainable Agent for Role-PlayingConference on Empirical Methods in Natural Language Processing (EMNLP)Yunfan Shao, Linyang Li, Junqi Dai, et al.2023 · 303 citations
  78. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  79. MAmmoTH: Building Math Generalist Models through Hybrid Instruction TuningarXiv:2309.05653Xiang Yue, Xingwei Qu, Ge Zhang, et al.2023 · 295 citations
  80. Text Generation from Knowledge Graphs with Graph TransformersConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, et al.2019 · 288 citations
  81. Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time ScalingarXiv:2412.05271Zhe Chen, Weiyun Wang, Yue Cao, et al.2024 · 287 citations
  82. RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQLProceedings of the AAAI Conference on Artificial IntelligenceHaoyang Li, Jing Zhang, Cuiping Li, et al.2023 · 277 citations
  83. Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What MattersAnnual Meeting of the Association for Computational Linguistics (ACL)Boshi Wang, Sewon Min, Xiang Deng, et al.2023 · 272 citations
  84. Representing Schema Structure with Graph Neural Networks for Text-to-SQL ParsingAnnual Meeting of the Association for Computational Linguistics (ACL)Ben Bogin, Jonathan Berant, Matt Gardner2019 · 272 citations
  85. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
  86. CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to DatabasesConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Yu, Rui Zhang, Heyang Er, et al.2019 · 262 citations
  87. DeepSpeed-MoE: Advancing Mixture-of-Experts Inference and Training to Power Next-Generation AI ScalearXiv:2201.05596Samyam Rajbhandari, Conglong Li, Zhewei Yao, et al.2022 · 261 citations
  88. Mapping Language to Code in Programmatic ContextConference on Empirical Methods in Natural Language Processing (EMNLP)Srinivasan Iyer, Ioannis Konstas, Alvin Cheung, et al.2018 · 260 citations
  89. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
  90. NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each BenchmarkFindings of the Association for Computational LinguisticsOscar Sainz, Jon Campos, Iker García-Ferrero, et al.2023 · 250 citations
  91. A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language ModelsarXiv:2401.01313S.M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain, et al.2024 · 249 citations
  92. OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of GeneralizationarXiv:2212.12017Srinivasan Iyer, Xi Victoria Lin, Ramakanth Pasunuru, et al.2022 · 244 citations
  93. WildChat: 1M ChatGPT Interaction Logs in the WildarXiv:2405.01470Wenting Zhao, Xiang Ren, Jack Hessel, et al.2024 · 239 citations
  94. SParC: Cross-Domain Semantic Parsing in ContextAnnual Meeting of the Association for Computational Linguistics (ACL)Tao Yu, Rui Zhang, Michihiro Yasunaga, et al.2019 · 228 citations
  95. Tower: An Open Multilingual Large Language Model for Translation-Related TasksarXiv:2402.17733Duarte M. Alves, Jose Pombal, Nuno M. Guerreiro, et al.2024 · 227 citations
  96. Specializing Smaller Language Models towards Multi-Step ReasoningarXiv:2301.12726Yao Fu, Hao Peng, Litu Ou, et al.2023 · 224 citations
  97. Break It Down: A Question Understanding BenchmarkTransactions of the Association for Computational Linguistics (TACL)Tomer Wolfson, Mor Geva, Ankit Gupta, et al.2020 · 222 citations
  98. AlpaGasus: Training A Better Alpaca with Fewer DataarXiv:2307.08701Lichang Chen, Shiyang Li, Jun Yan, et al.2023 · 220 citations
  99. Distilling Reasoning Capabilities into Smaller Language ModelsFindings of the Association for Computational LinguisticsKumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan2023 · 219 citations
  100. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations

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