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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 4 of 5 · 301–400 · ← Srini Iyer

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  1. MathChat: Converse to Tackle Challenging Math Problems with LLM AgentsarXiv:2306.01337Yiran Wu; Feiran Jia; Shaokun Zhang; Hangyu Li; Erkang Zhu; Yue Wang; Yin Tat Lee; Richard Peng; Qingyun Wu;, Chi Wang2023 · 46 citations
  2. CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file ContextLanguage Resources and Evaluation Conference (LREC)Yangruibo Ding, Zijian Wang, Wasi Ahmad, et al.2024 · 45 citations
  3. Understanding Catastrophic Forgetting in Language Models via Implicit InferencearXiv:2309.10105Suhas Kotha, Jacob Mitchell Springer, Aditi Raghunathan2023 · 45 citations
  4. HyperCLOVA X Technical ReportarXiv:2404.01954Kang Min Yoo, Jaegeun Han, Sookyo In, et al.2024 · 44 citations
  5. When does In-context Learning Fall Short and Why? A Study on Specification-Heavy TasksarXiv:2311.08993Hao Peng, Xiaozhi Wang, Jianhui Chen, et al.2023 · 42 citations
  6. xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalarXiv:2303.03004Mohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.2023 · 42 citations
  7. SALMON: Self-Alignment with Instructable Reward ModelsarXiv:2310.05910Zhiqing Sun, Yikang Shen, Hongxin Zhang, et al.2023 · 41 citations
  8. Conifer: Improving Complex Constrained Instruction-Following Ability of Large Language ModelsarXiv:2404.02823Haoran Sun, Lixin Liu, Junjie Li, et al.2024 · 40 citations
  9. PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous ComputingarXiv:2303.10845Xiaozhe Ren, Pingyi Zhou, Xinfan Meng, et al.2023 · 40 citations
  10. Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End EngineeringConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Chenglei Si, Yanzhe Zhang, Ryan Li, et al.2025 · 37 citations
  11. Efficient Online Data Mixing For Language Model Pre-TrainingarXiv:2312.02406Alon Albalak, Liangming Pan, Colin Raffel, et al.2023 · 35 citations
  12. Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language ModelsarXiv:2305.09955Shangbin Feng, Weijia Shi, Yuyang Bai, et al.2023 · 35 citations
  13. 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
  14. Improving Retrieval Augmented Language Model with Self-ReasoningProceedings of the AAAI Conference on Artificial IntelligenceYuan Xia, Jingbo Zhou, Zhenhui Shi, et al.2024 · 32 citations
  15. Airavata: Introducing Hindi Instruction-tuned LLMarXiv:2401.15006Jay Gala, Thanmay Jayakumar, Jaavid Aktar Husain, et al.2024 · 31 citations
  16. Learning Planning-based Reasoning by Trajectories Collection and Process Reward SynthesizingConference on Empirical Methods in Natural Language Processing (EMNLP)Fangkai Jiao, Chengwei Qin, Zhengyuan Liu, et al.2024 · 31 citations
  17. The Life Cycle of Knowledge in Big Language Models: A SurveyarXiv:2303.07616 · Machine Intelligence Research. vol. 21, no. 2, pp. 217-238, 2024Boxi Cao, Hongyu Lin, Xianpei Han, et al.2023 · 31 citations
  18. Mind the instructions: a holistic evaluation of consistency and interactions in prompt-based learningConference on Computational Natural Language Learning (CoNLL)Lucas Weber, Elia Bruni, Dieuwke Hupkes2023 · 29 citations
  19. Automatic Instruction Evolving for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Zeng, Can Xu, Yingxiu Zhao, et al.2024 · 28 citations
  20. PLUG: Leveraging Pivot Language in Cross-Lingual Instruction TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihan Zhang, Dong-Ho Lee, Yuwei Fang, et al.2024 · 28 citations
  21. When is Tree Search Useful for LLM Planning? It Depends on the DiscriminatorAnnual Meeting of the Association for Computational Linguistics (ACL)Ziru Chen, Michael White, Ray Mooney, et al.2024 · 28 citations
  22. Pushing the Limits of ChatGPT on NLP TasksarXiv:2306.09719Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.2023 · 28 citations
  23. Factorising AMR generation through syntaxKris Cao, Stephen Clark2019 · 28 citations
  24. 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
  25. Investigating Hallucinations in Pruned Large Language Models for Abstractive SummarizationTransactions of the Association for Computational Linguistics (TACL)George Chrysostomou, Zhixue Zhao, Miles Williams, et al.2024 · 27 citations
  26. L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Ansong Ni, Pengcheng Yin, Yilun Zhao, et al.2024 · 27 citations
  27. A Structured Syntax-Semantics Interface for English-AMR AlignmentIda Szubert, Adam Lopez, Nathan Schneider2018 · 26 citations
  28. Dealing with Co-reference in Neural Semantic ParsingProceedings of the 2nd Workshop on Semantic Deep Learning (SemDeep-2)Rik van Noord, Johan Bos2017 · 26 citations
  29. ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-TranslationKuan-Hao Huang, Varun Iyer, I-Hung Hsu, et al.2023 · 24 citations
  30. A Human Evaluation of AMR-to-English Generation SystemsEmma Manning, Shira Wein, Nathan Schneider2020 · 24 citations
  31. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
  32. 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
  33. Personality Alignment of Large Language ModelsarXiv:2408.11779Minjun Zhu, Yixuan Weng, Linyi Yang, et al.2024 · 21 citations
  34. 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
  35. Source-Aware Training Enables Knowledge Attribution in Language ModelsarXiv:2404.01019Muhammad Khalifa, David Wadden, Emma Strubell, et al.2024 · 21 citations
  36. 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
  37. Efficiently Adapting Pretrained Language Models To New LanguagesarXiv:2311.05741Zoltan Csaki, Pian Pawakapan, Urmish Thakker, et al.2023 · 21 citations
  38. Suri: Multi-constraint Instruction Following in Long-form Text GenerationFindings of the Association for Computational LinguisticsChau Minh Pham, Simeng Sun, Mohit Iyyer2024 · 19 citations
  39. ALGO: Synthesizing Algorithmic Programs with LLM-Generated Oracle VerifiersarXiv:2305.14591Kexun Zhang, Danqing Wang, Jingtao Xia, et al.2023 · 19 citations
  40. RECKONING: Reasoning through Dynamic Knowledge EncodingConference on Neural Information Processing Systems (NeurIPS)Zeming Chen, Gail Weiss, Eric Mitchell, et al.2023 · 19 citations
  41. 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
  42. ChatGLM-RLHF: Practices of Aligning Large Language Models with Human FeedbackarXiv:2404.00934Zhenyu Hou, Yilin Niu, Zhengxiao Du, et al.2024 · 17 citations
  43. NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User QueriesFindings of the Association for Computational LinguisticsShudan Zhang, Hanlin Zhao, Xiao Liu, et al.2024 · 17 citations
  44. Orion-14B: Open-source Multilingual Large Language ModelsarXiv:2401.12246Du Chen, Yi Huang, Xiaopu Li, et al.2024 · 17 citations
  45. Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource TranslationConference on Machine Translation (WMT)Vivek Iyer; Bhavitvya Malik; Pavel Stepachev; Pinzhen Chen; Barry Haddow;, Alexandra Birch2024 · 17 citations
  46. Evaluating the Consistency of LLM EvaluatorsInternational Conference on Computational Linguistics (COLING)Noah Lee, Jiwoo Hong, James Thorne2025 · 16 citations
  47. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language ModelsarXiv:2503.24377Rui Wang, Hongru Wang, Boyang Xue, et al.2025 · 16 citations
  48. 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
  49. Automatic Combination of Sample Selection Strategies for Few-Shot LearningFindings of the Association for Computational LinguisticsBranislav Pecher, Ivan Srba, Maria Bielikova, et al.2026 · 15 citations
  50. CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and ReasoningarXiv:2503.13517Hao Cui, Zahra Shamsi, Gowoon Cheon, et al.2025 · 15 citations
  51. What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Li, Yanhong Li, Tianyi Zhou2025 · 15 citations
  52. AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data FiltersAnnual Meeting of the Association for Computational Linguistics (ACL)Li Lucy, Suchin Gururangan, Luca Soldaini, et al.2024 · 15 citations
  53. From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical DebuggingarXiv:2410.01215Yuling Shi, Songsong Wang, Chengcheng Wan, et al.2024 · 15 citations
  54. Alignment at Pre-training! Towards Native Alignment for Arabic LLMsConference on Neural Information Processing Systems (NeurIPS)Juhao Liang, Zhenyang Cai, Jianqing Zhu, et al.2024 · 14 citations
  55. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnarXiv:2407.08348Liang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
  56. Constituency Parsing using LLMsarXiv:2310.19462Xuefeng Bai, Jialong Wu, Yulong Chen, et al.2023 · 14 citations
  57. Evaluating Text Generation from Discourse Representation StructuresChunliu Wang, Rik van Noord, Arianna Bisazza, et al.2021 · 14 citations
  58. A Reality Check on Context Utilisation for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu, et al.2025 · 13 citations
  59. Pangu Embedded: An Efficient Dual-system LLM Reasoner with MetacognitionarXiv:2505.22375Hanting Chen, Yasheng Wang, Kai Han, et al.2025 · 13 citations
  60. QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement LearningarXiv:2505.17667Fanqi Wan, Weizhou Shen, Shengyi Liao, et al.2025 · 13 citations
  61. Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMsTransactions of the Association for Computational Linguistics (TACL)Harvey Lederman, Kyle Mahowald2024 · 13 citations
  62. HeQ: a Large and Diverse Hebrew Reading Comprehension BenchmarkAmir DN Cohen, Hilla Merhav, Yoav Goldberg, et al.2023 · 13 citations
  63. Text Generation from Discourse Representation StructuresJiangming Liu, Shay B. Cohen, Mirella Lapata2021 · 13 citations
  64. CriticLean: Critic-Guided Reinforcement Learning for Mathematical FormalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhongyuan Peng, Yifan Yao, Kaijing Ma, et al.2026 · 12 citations
  65. Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in TokenizationAnnual Meeting of the Association for Computational Linguistics (ACL)Negar Foroutan, Clara Meister, Debjit Paul, et al.2026 · 12 citations
  66. A Probabilistic Framework for LLM Hallucination Detection via Belief Tree PropagationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bairu Hou, Yang Zhang, Jacob Andreas, et al.2025 · 12 citations
  67. Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual ProgressarXiv:2408.14960Ayomide Odumakinde, Daniel D'souza, Pat Verga, et al.2024 · 12 citations
  68. UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Fang, Ruiyan Han, XinYu Sun, et al.2026 · 11 citations
  69. Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data FilteringAnnual Meeting of the Association for Computational Linguistics (ACL)Shuzheng Si, Haozhe Zhao, Gang Chen, et al.2025 · 11 citations
  70. 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
  71. MDCure: A Scalable Pipeline for Multi-Document Instruction-FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Gabrielle Kaili-May Liu, Bowen Shi, Avi Caciularu, et al.2025 · 11 citations
  72. Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable MetricAnnual Meeting of the Association for Computational Linguistics (ACL)Yuming Yang, Yang Nan, Junjie Ye, et al.2025 · 11 citations
  73. SaRO: Enhancing LLM Safety through Reasoning-based AlignmentarXiv:2504.09420Yutao Mou, Yuxiao Luo, Shikun Zhang, et al.2025 · 11 citations
  74. Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined RewardsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaolong Wei, Bo Lu, Xingyu Zhang, et al.2025 · 10 citations
  75. Nile-Chat: Egyptian Language Models for Arabic and Latin ScriptsArabic Natural Language Processing Conference (ArabicNLP)Guokan Shang, Hadi Abdine, Ahmad Chamma, et al.2025 · 9 citations
  76. Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific NeuronsInternational Conference on Computational Linguistics (COLING)Yongqi Leng, Deyi Xiong2025 · 9 citations
  77. CodeS: Natural Language to Code Repository via Multi-Layer SketcharXiv:2403.16443Daoguang Zan, Ailun Yu, Wei Liu, et al.2024 · 9 citations
  78. DeepSeek-OCR 2: Visual Causal FlowarXiv:2601.20552Haoran Wei, Yaofeng Sun, Yukun Li2026 · 8 citations
  79. Nature-Inspired Population-Based Evolution of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yiqun Zhang, Peng Ye, Xiaocui Yang, et al.2026 · 8 citations
  80. CER: Confidence Enhanced Reasoning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ali Razghandi, Seyed Mohammad Hadi Hosseini, Mahdieh Soleymani Baghshah2025 · 8 citations
  81. Nudging: Inference-time Alignment of LLMs via Guided DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Fei, Yasaman Razeghi, Sameer Singh2025 · 8 citations
  82. Survey of Abstract Meaning Representation: Then, Now, FutureBehrooz Mansouri2025 · 8 citations
  83. Assessing the Creativity of LLMs in Proposing Novel Solutions to Mathematical ProblemsProceedings of the AAAI Conference on Artificial IntelligenceJunyi Ye, Jingyi Gu, Xinyun Zhao, et al.2024 · 8 citations
  84. An Error Analysis Framework for Shallow Surface RealizationAnastasia Shimorina, Yannick Parmentier, Claire Gardent2021 · 8 citations
  85. Fine-tuning Large Language Models with Limited Data: A Survey and Practical GuideTransactions of the Association for Computational Linguistics (TACL)Marton Szep, Daniel Rueckert, Rüdiger von Eisenhart-Rothe, et al.2026 · 7 citations
  86. ICLEval: Evaluating In-Context Learning Ability of Large Language ModelsInternational Conference on Computational Linguistics (COLING)Wentong Chen, Yankai Lin, ZhenHao Zhou, et al.2025 · 7 citations
  87. MPO: Multilingual Safety Alignment via Reward Gap OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Weixiang Zhao, Yulin Hu, Yang Deng, et al.2025 · 7 citations
  88. Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chao Xue, Yao Wang, Mengqiao Liu, et al.2026 · 6 citations
  89. Comparing Knowledge-Intensive and Data-Intensive Models for English Resource Semantic ParsingComputational LinguisticsJunjie Cao, Zi Lin, Weiwei Sun, et al.2021 · 6 citations
  90. 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
  91. Enhancing Auto-regressive Chain-of-Thought through Loop-Aligned ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Qifan Yu, Zhenyu He, Sijie Li, et al.2026 · 5 citations
  92. Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy ParadigmConference on Empirical Methods in Natural Language Processing (EMNLP)Zhuo Li, Yuhao Du, Xiaoqi Jiao, et al.2025 · 5 citations
  93. GATEAU: Selecting Influential Samples for Long Context AlignmentConference on Empirical Methods in Natural Language Processing (EMNLP)Shuzheng Si, Haozhe Zhao, Gang Chen, et al.2025 · 5 citations
  94. Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Erxin Yu, Jing Li, Ming Liao, et al.2025 · 5 citations
  95. Baichuan Alignment Technical ReportarXiv:2410.14940Mingan Lin, Fan Yang, Yanjun Shen, et al.2024 · 5 citations
  96. DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and RewritingConference on Empirical Methods in Natural Language Processing (EMNLP)Xuanming Zhang, Anthony Diaz, Zixun Chen, et al.2024 · 5 citations
  97. Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generationConference of the European Chapter of the Association for Computational Linguistics (EACL)Thomas F Burns, Letitia Parcalabescu, Stephan Waeldchen, et al.2026 · 4 citations
  98. Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical ReasoningFindings of the Association for Computational LinguisticsJun Rao, Xuebo Liu, Hexuan Deng, et al.2026 · 4 citations
  99. ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token SelectionFindings of the Association for Computational LinguisticsTao Liu, Taiqiang Wu, Runming Yang, et al.2026 · 4 citations
  100. Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT ReasoningFindings of the Association for Computational LinguisticsCehao Yang, Xueyuan Lin, Xiaojun Wu, et al.2026 · 4 citations

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