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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 5 of 5 · 401–477 · ← Srini Iyer

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  1. Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Yuming Yang, Mingyoung Lai, Wanxu Zhao, et al.2026 · 4 citations
  2. Evaluating the Effectiveness of Direct Preference Optimization for Personalizing German Automatic Text Simplifications for Persons with Intellectual DisabilitiesarXiv:2507.01479Yingqiang Gao, Kaede Johnson, David Froehlich, et al.2025 · 4 citations
  3. SDD: Self-Degraded Defense against Malicious Fine-tuningAnnual Meeting of the Association for Computational Linguistics (ACL)ZiXuan Chen, Weikai Lu, Xin Lin, et al.2025 · 4 citations
  4. Tokenisation is NP-CompleteAnnual Meeting of the Association for Computational Linguistics (ACL)Philip Whittington, Gregor Bachmann, Tiago Pimentel2025 · 4 citations
  5. Beyond Templates: Dynamic Adaptation of Reasoning Demonstrations via Feasibility-Aware ExplorationFindings of the Association for Computational LinguisticsYong Wu, Weihang Pan, Ke Li, et al.2026 · 3 citations
  6. FLEXITOKENS: Flexible Tokenization for Evolving Language ModelsFindings of the Association for Computational LinguisticsAbraham Toluwase Owodunni, Orevaoghene Ahia, Sachin Kumar2026 · 3 citations
  7. MathAgent: Adversarial Evolution of Constraint Graphs for Mathematical Reasoning Data SynthesisFindings of the Association for Computational LinguisticsZixiong Yu, Jun Rao, Guhan Chen, et al.2026 · 3 citations
  8. SynthRL: Scaling Visual Reasoning with Verifiable Data SynthesisFindings of the Association for Computational LinguisticsZijian Wu, Jinjie Ni, Xiangyan Liu, et al.2026 · 3 citations
  9. Incomplete In-context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqiang Wang, Wen Yujia, Yan Xiao, et al.2026 · 2 citations
  10. Prompting Instruction-tuned LLMs for Semantic Similarity ValuesLanguage Resources and Evaluation Conference (LREC)Xander Akiko Snelder, Yunchong Huang, Jelke Bloem2026 · 2 citations
  11. Qomhrá: A Bilingual Irish and English Large Language ModelWorkshop on Language Models for Low-Resource LanguagesJoseph McInerney, Khanh-Tung Tran, Liam Lonergan, et al.2026 · 2 citations
  12. Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Zhou, Bolei Ma, Annemarie Friedrich, et al.2026 · 2 citations
  13. A Partially Rule-Based Approach to AMR GenerationEmma Manning2019 · 2 citations
  14. Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and SafetyQian Shen, Fanghua Cao, Min Yao, et al.2026 · 1 citation
  15. Compatibility-Aware Dynamic Fine-Tuning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yucheng Zhou, Junwei Sheng, Qianning Wang, et al.2026 · 1 citation
  16. FaithLens: Detecting and Explaining Faithfulness HallucinationFindings of the Association for Computational LinguisticsShuzheng Si, Qingyi Wang, Haozhe Zhao, et al.2026 · 1 citation
  17. From Detection to Explanation: Modeling Fine-Grained Emotional Social Influence Techniques with LLMs and Human PreferencesConference of the European Chapter of the Association for Computational Linguistics (EACL)Maciej Markiewicz, Wiktoria Mieleszczenko-Kowszewicz, Beata Bajcar, et al.2026 · 1 citation
  18. From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language ModelsFindings of the Association for Computational LinguisticsJunlong Tong, Zilong Wang, YuJie Ren, et al.2026 · 1 citation
  19. How Chain-of-Thought Works? Tracing Information Flow from Decoding, Projection, and ActivationFindings of the Association for Computational LinguisticsHao Yang, Qinghua Zhao, Lei Li, et al.2026 · 1 citation
  20. How Important is ‘Perfect' English for Machine Translation Prompts?Findings of the Association for Computational LinguisticsPatrícia Schmidtová, Niyati Bafna, Seth Aycock, et al.2026 · 1 citation
  21. Identifying Bias in Machine-generated Text DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Stowe, Svetlana Afanaseva, Rodolfo C. Raimundo, et al.2026 · 1 citation
  22. Morphemes Without Borders: Evaluating Root-Pattern Morphology in Arabic Tokenizers and LLMsarXiv:2603.15773Yara Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.2026 · 1 citation
  23. Morphemes without Borders: Evaluating Root–Pattern Morphology in Arabic Tokenizers and LLMsYara Yousif Alakeel, Chatrine Qwaider, Hanan Aldarmaki, et al.2026 · 1 citation
  24. OLA: Output Language Alignment in Code-Switched LLM InteractionsAnnual Meeting of the Association for Computational Linguistics (ACL)Juhyun Oh, Haneul Yoo, Faiz Ghifari Haznitrama, et al.2026 · 1 citation
  25. Phonemes to the Rescue: Multilingual Tokenization Based on International Phonetic AlphabetAnnual Meeting of the Association for Computational Linguistics (ACL)Milan Miletić, Julie Kallini, Ekaterina Shutova2026 · 1 citation
  26. 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
  27. PV-SQL: Synergizing Database Probing and Rule-based Verification for Text-to-SQL AgentsFindings of the Association for Computational LinguisticsYuan Tian, Tianyi Zhang2026 · 1 citation
  28. Reformulate and Create, Don't Translate: Creating Natural Prompts for Underserved LanguagesLanguage Resources and Evaluation Conference (LREC)Annika Simonsen, Mathias Stenlund, Lars Bungum, et al.2026 · 1 citation
  29. RepoGenesis: Benchmarking End-to-End Microservice Generation from Readme to RepositoryAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiyuan Peng, Xin Yin, Pu Zhao, et al.2026 · 1 citation
  30. SupraTok: Cross-Boundary Tokenization for Enhanced Language Model PerformanceTransactions of the Association for Computational Linguistics (TACL)Andrei-Valentin Tănase, Elena Pelican2026 · 1 citation
  31. The Pluralistic Moral Gap: Understanding Moral Judgment and Value Differences between Humans and Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Giuseppe Russo, Debora Nozza, Paul Röttger, et al.2026 · 1 citation
  32. Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language ModelsFindings of the Association for Computational LinguisticsWei Zhao, Zhe Li, Yige Li, et al.2026 · 1 citation
  33. When Vision-Language Models Judge Without Seeing: Exposing Informativeness BiasAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, et al.2026 · 1 citation
  34. YNU-HPCC at SemEval-2026 Task 1: Constraint-Aware In-Context Learning for Multilingual Humor GenerationInternational Workshop on Semantic Evaluation (SemEval)Xulong Zhang, Jin Wang, Xuejie Zhang2026 · 1 citation
  35. GemMaroc: Unlocking Darija Proficiency in LLMs with Minimal DataarXiv:2505.17082Abderrahman Skiredj, Ferdaous Azhari, Houdaifa Atou, et al.2025 · 1 citation
  36. Deep Learning Based Code Generation Methods: Literature Review (基于深度学习的代码生成方法研究进展)Journal of SoftwareZezhou Yang (杨泽洲), Sirong Chen (陈思榕), Cuiyun Gao (高翠芸), et al.2023 · 1 citation
  37. Language Models are Bounded Pragmatic Speakers: Understanding RLHF from a Bayesian Cognitive Modeling PerspectivearXiv:2305.17760Khanh Nguyen2023 · 1 citation
  38. Actionable Interpretability for Churn Classification: A Text Bottleneck Model Case Study at a Major Telecom ProviderAnnual Meeting of the Association for Computational Linguistics (ACL)Adrian Sauter, Vera Neplenbroek, Georgios Vlassopoulos, et al.2026
  39. Amadeus: Autoregressive Model with Bidirectional Attribute Modelling for Symbolic MusicAnnual Meeting of the Association for Computational Linguistics (ACL)Hongju Su, Ke Li, Lan Yang, et al.2026
  40. Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data SynthesisConference of the European Chapter of the Association for Computational Linguistics (EACL)Shuhaib Mehri, Xiusi Chen, Heng Ji, et al.2026
  41. Calibrating Inference Time Alignment with Sequence-level Risk AccumulationAnnual Meeting of the Association for Computational Linguistics (ACL)Shanwen Tan, Ziyang Dong, Wei Ju, et al.2026
  42. Complex-IF and Beyond: Expert Rubrics for RLVRWorkshop on Generation, Evaluation and Metrics (GEM)Sushant Mehta, Liudas Panavas, Eleanor Fleming, et al.2026
  43. Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient ConcentrationAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Zhao, Yangou Ouyang, Xiao Ding, et al.2026
  44. CypherSmith: Transforming Text-to-Cypher Generation for LLMs with Synthetic DataAnnual Meeting of the Association for Computational Linguistics (ACL)Zeyu Zhang, Kexuan Sun, Zheng Tang, et al.2026
  45. DeepICD-R1: Medical Reasoning through Hierarchical Rewards and Unsupervised DistillationLanguage Resources and Evaluation Conference (LREC)Tom Röhr, Thomas Maximilian Josef Steffek, Roman Teucher, et al.2026
  46. DOSE: Data Selection for Multi-Modal LLMs via Off-the-Shelf ModelsFindings of the Association for Computational LinguisticsBiao Wu, Yiwu Zhong, Meng Fang, et al.2026
  47. DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning CollectionsFindings of the Association for Computational LinguisticsHaebin Shin, Lei Ji, Xiao Liu, et al.2026
  48. ELO: Efficient Layer-Specific Optimization for Continual Pretraining of Multilingual LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Hangyeol Yoo, ChangSu Choi, Minjun Kim, et al.2026
  49. Expanding the Lexicon of Ge'ez Based African Languages: A Comparative Study of Amharic and TigrinyaHailay Kidu Teklehaymanot, Debela Desalegn Yadeta, Wolfgang Nejdl2026
  50. From Fake to Real: Mitigating Out-of-Distribution Bias in In-Context Learning via Feedback Supervision from Large Language ModelsFindings of the Association for Computational LinguisticsRui Song, Yingji Li, Jian Li, et al.2026
  51. From Insight to Action: A Novel Framework for Interpretability-Guided Data Selection in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ling Shi, Xinwei Wu, Xiaohu Zhao, et al.2026
  52. How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM PipelinearXiv:2604.04204Mir Tafseer Nayeem, Davood Rafiei2026
  53. Identifying the Achilles' Heel: An Iterative Method for Uncovering Factual Errors in Large Language ModelsFindings of the Association for Computational LinguisticsWenxuan Wang, Yuk-Kit Chan, Zixuan Ling, et al.2026
  54. InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Junyou Su, He Zhu, Xiao Luo, et al.2026
  55. Investigating How LLMs Propagate Female Stereotypes: Comparing What Models Say via Prompts with What They Represent in Their EmbeddingsLanguage Resources and Evaluation Conference (LREC)Andrea Valderrey Nuñez, Jelke Bloem2026
  56. Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and BottlenecksConference of the European Chapter of the Association for Computational Linguistics (EACL)Masaya Tsunokake, Yuta Koreeda, Terufumi Morishita, et al.2026
  57. Judging Instruction Responses in a Low-Resource Language: A Case Study on BasqueLanguage Resources and Evaluation Conference (LREC)David Ponce, Harritxu Gete, Thierry Etchegoyhen, et al.2026
  58. 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
  59. Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2FormulaAnnual Meeting of the Association for Computational Linguistics (ACL)Zhihao Shuai, Yiyun Chen, Maolin Ma, et al.2026
  60. LLM Beliefs Are in Their HeadsAnnual Meeting of the Association for Computational Linguistics (ACL)Alessandro Corona Mendozza, Anders Søgaard2026
  61. MCLE-Mol: Empowering LLM with Molecular Comprehension and Low-Cost Continual Evolution for Interpretable Property PredictionFindings of the Association for Computational LinguisticsZhili Pu, Lantian Zhang, Hao Duan, et al.2026
  62. NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, et al.2026
  63. Parallel Corpus Filtering Based on Semantic Similarity and Surface Dissimilarity for Japanese Text Simplification with LLMsLanguage Resources and Evaluation Conference (LREC)Daisuke Maekawa, Tomoyuki Kajiwara, Takashi Ninomiya2026
  64. QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Songxin Qu, Tai-Ping Sun, Yun-Jie Wang, et al.2026
  65. Reflect, Rewrite, Repeat: How Simple Arithmetic Enables Advanced Reasoning in Small Language ModelsFindings of the Association for Computational LinguisticsMengdie Flora Wang, Haochen Xie, Mun Young Kim, et al.2026
  66. Revisiting Self-Play Preference Optimization: On the Role of Prompt DifficultyFindings of the Association for Computational LinguisticsYao Xiao, Jung-jae Kim, Roy Ka-Wei Lee, et al.2026
  67. RIFT: Repurposing Negative Samples via Reward-Informed Fine-TuningFindings of the Association for Computational LinguisticsZehua Liu, Shuqi Liu, Tao Zhong, et al.2026
  68. Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-TuningLanguage Resources and Evaluation Conference (LREC)Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.2026
  69. Tailored Primitive Initialization is the Secret Key to Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yihang Yao, Guangtao Zeng, Raina Wu, et al.2026
  70. The Role of Dataset Linguistic Structure in the Cultural Awareness of Large Language ModelsarXiv:2602.01161Reem I. Masoud, Chen Feng, Shunta Asano, et al.2026
  71. Thesis Proposal: Diagnosing and Mitigating Semantic Interference in Script-Sharing Low-Resource Language Models: A Case Study on Square Bai ScriptAnnual Meeting of the Association for Computational Linguistics (ACL)Jingting Zheng, Deyi Xiong2026
  72. Towards Unified Multimodal Large Language Models: A surveyFindings of the Association for Computational LinguisticsXu Ma, Yitian Zhang, Yun Fu2026
  73. UCS: Estimating Unseen Coverage for Improved In-Context LearningFindings of the Association for Computational LinguisticsJiayi Xin, Xiang Li, Evan Qiang, et al.2026
  74. Understanding Conflicts in Multi-Objective Alignment through Reward ConsistencyFindings of the Association for Computational LinguisticsZhihao Xu, Yongqi Tong, Xin Zhang, et al.2026
  75. VET: Verifiable Execution Tracing for Reliable Text-to-SQL GenerationFindings of the Association for Computational LinguisticsDongyu Wang, Jingyu Li, Lan Zhang, et al.2026
  76. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
  77. What Does Infect Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Xinlan Yan, Di Wu, Yibin Lei, et al.2026

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