Elamur Research⌕
☰
home / authors / Ryan Teehan / cited by / page 6

Who cites Ryan Teehan

2,294 citations of their works from 2,175 papers of our library (of the 149,439 whose bibliographies we read) · 628 with a page here, the most cited first · page 6 of 7 · 501–600 · ← Ryan Teehan

1 … 5 6 7

  1. Improving Socratic Question Generation using Data Augmentation and Preference OptimizationWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Nischal Ashok Kumar, Andrew Lan2024 · 16 citations
  2. Instruct, Not Assist: LLM-based Multi-Turn Planning and Hierarchical Questioning for Socratic Code DebuggingFindings of the Association for Computational LinguisticsPriyanka Kargupta, Ishika Agarwal, Dilek Hakkani Tur, et al.2024 · 16 citations
  3. The "LLM World of Words" English free association norms generated by large language modelsScientific DataKatherine Abramski, Riccardo Improta, Giulio Rossetti, et al.2024 · 16 citations
  4. Understanding Natural Language Understanding Systems. A Critical AnalysisarXiv:2303.04229Alessandro Lenci2023 · 16 citations
  5. Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?Transactions of the Association for Computational Linguistics (TACL)Evgeniia Razumovskaia, Ivan Vulić, Anna Korhonen2025 · 15 citations
  6. Measuring Chain of Thought Faithfulness by Unlearning Reasoning StepsConference on Empirical Methods in Natural Language Processing (EMNLP)Martin Tutek, Fateme Hashemi Chaleshtori, Ana Marasovic, et al.2025 · 15 citations
  7. Rethinking Reflection in Pre-TrainingarXiv:2504.04022Essential AI: Darsh J Shah, Peter Rushton, Somanshu Singla, et al.2025 · 15 citations
  8. Gentopia: A Collaborative Platform for Tool-Augmented LLMsarXiv:2308.04030Binfeng Xu, Xukun Liu, Hua Shen, et al.2023 · 15 citations
  9. 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
  10. Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM ReviewsConference on Empirical Methods in Natural Language Processing (EMNLP)Hyungyu Shin, Jingyu Tang, Yoonjoo Lee, et al.2025 · 14 citations
  11. Constituency Parsing using LLMsarXiv:2310.19462Xuefeng Bai, Jialong Wu, Yulong Chen, et al.2023 · 14 citations
  12. Prompting for explanations improves Adversarial NLI. Is this true? \Yes\ it is \true\ because ıt weakens superficial cues\Findings of the Association for Computational LinguisticsPride Kavumba, Ana Brassard, Benjamin Heinzerling, et al.2023 · 14 citations
  13. Alignment for Efficient Tool Calling of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongshen Xu, Zihan Wang, Zichen Zhu, et al.2025 · 13 citations
  14. Natural Language Processing RELIES on LinguisticsComputational LinguisticsJuri Opitz, Shira Wein, Nathan Schneider2025 · 13 citations
  15. Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive SearcharXiv:2502.02508Maohao Shen, Guangtao Zeng, Zhenting Qi, et al.2025 · 13 citations
  16. Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?arXiv:2312.02065Donya Rooein, Amanda Cercas Curry, Dirk Hovy2023 · 13 citations
  17. SKIntern: Internalizing Symbolic Knowledge for Distilling Better CoT Capabilities into Small Language ModelsInternational Conference on Computational Linguistics (COLING)Huanxuan Liao, Shizhu He, Yupu Hao, et al.2025 · 12 citations
  18. 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
  19. An Incomplete Loop: Deductive, Inductive, and Abductive Reasoning in Language ModelsarXiv:2404.03028Emmy Liu, Graham Neubig, Jacob Andreas2024 · 12 citations
  20. Benchmarking LLaMA-3 on Arabic Language Generation TasksArabic Natural Language Processing Conference (ArabicNLP)Md Tawkat Islam Khondaker, Numaan Naeem, Fatimah Khan, et al.2024 · 12 citations
  21. Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual ProgressarXiv:2408.14960Ayomide Odumakinde, Daniel D'souza, Pat Verga, et al.2024 · 12 citations
  22. Critique Ability of Large Language ModelsarXiv:2310.04815Liangchen Luo, Zi Lin, Yinxiao Liu, et al.2023 · 12 citations
  23. 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
  24. Learning from Diverse Reasoning Paths with Routing and CollaborationConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenyu Lei, Zhen Tan, Song Wang, et al.2025 · 11 citations
  25. 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
  26. 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
  27. Dialogue Discourse Parsing as Generation: A Sequence-to-Sequence LLM-based ApproachAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Chuyuan Li, Yuwei Yin, Giuseppe Carenini2024 · 11 citations
  28. E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language ModelsarXiv:2401.15927Jinchang Hou, Chang Ao, Haihong Wu, et al.2024 · 11 citations
  29. CLEVA: Chinese Language Models EVAluation PlatformarXiv:2308.04813Yanyang Li, Jianqiao Zhao, Duo Zheng, et al.2023 · 11 citations
  30. 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
  31. Implicit Reasoning in Large Language Models: A Comprehensive SurveyarXiv:2509.02350Jindong Li, Yali Fu, Li Fan, et al.2025 · 10 citations
  32. AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction FollowingAnnual Meeting of the Association for Computational Linguistics (ACL)Yun He, Wenzhe Li, Hejia Zhang, et al.2026 · 9 citations
  33. Self-Instructed Derived Prompt Generation Meets In-Context Learning: Unlocking New Potential of Black-Box LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhuo Li, Yuhao Du, Jinpeng Hu, et al.2025 · 9 citations
  34. TESS 2: A Large-Scale Generalist Diffusion Language ModelAnnual Meeting of the Association for Computational Linguistics (ACL)Jaesung Tae, Hamish Ivison, Sachin Kumar, et al.2025 · 9 citations
  35. 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
  36. Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary DataConference on Neural Information Processing Systems (NeurIPS)Alon Albalak, Colin Raffel, William Yang Wang2023 · 9 citations
  37. TATA: Stance Detection via Topic-Agnostic and Topic-Aware EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Hans Hanley, Zakir Durumeric2023 · 9 citations
  38. TurkBench: A Benchmark for Evaluating Turkish Large Language ModelsWorkshop Natural Language Processing for Turkic LanguagesCagri Toraman, Ahmet Kaan Sever, Ayşe Aysu Cengiz, et al.2026 · 8 citations
  39. IOLBENCH: Benchmarking LLMs on Linguistic ReasoningarXiv:2501.04249Satyam Goyal, Soham Dan2025 · 8 citations
  40. 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
  41. On Many-Shot In-Context Learning for Long-Context EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Kaijian Zou, Muhammad Khalifa, Lu Wang2025 · 8 citations
  42. Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-TranslationarXiv:2401.06477Tianyu Zheng; Shuyue Guo; Xingwei Qu; Jiawei Guo; Xinrun Du; Qi Jia; Chenghua Lin; Wenhao Huang; Jie Fu;, Ge Zhang2024 · 8 citations
  43. 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
  44. 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
  45. NorEval: A Norwegian Language Understanding and Generation Evaluation BenchmarkFindings of the Association for Computational LinguisticsVladislav Mikhailov, Tita Enstad, David Samuel, et al.2025 · 7 citations
  46. On Benchmarking Human-Like Intelligence in MachinesOpen MindLance Ying, Katherine M. Collins, Lionel Wong, et al.2025 · 7 citations
  47. The SWE-Bench Illusion: When State-of-the-Art LLMs Remember Instead of ReasonarXiv:2506.12286Shanchao Liang, Spandan Garg, Roshanak Zilouchian Moghaddam2025 · 7 citations
  48. TLUE: A Tibetan Language Understanding Evaluation BenchmarkConference on Empirical Methods in Natural Language Processing (EMNLP)Fan Gao, Cheng Huang, Yutong Liu, et al.2025 · 7 citations
  49. Eureka: Evaluating and Understanding Large Foundation ModelsarXiv:2409.10566Vidhisha Balachandran, Jingya Chen, Neel Joshi, et al.2024 · 7 citations
  50. GRIN: GRadient-INformed MoEarXiv:2409.12136Liyuan Liu, Young Jin Kim, Shuohang Wang, et al.2024 · 7 citations
  51. GCoT-Decoding: Unlocking Deep Reasoning Paths for Universal Question AnsweringFindings of the Association for Computational LinguisticsGuanran Luo, Wentao Qiu, Zhongquan Jian, et al.2026 · 6 citations
  52. What Prompts Don't Say: Understanding and Managing Underspecification in LLM PromptsFindings of the Association for Computational LinguisticsChenyang Yang, Yike Shi, Qianou Ma, et al.2026 · 6 citations
  53. 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
  54. Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American EnglisharXiv:2503.04099Runtao Zhou, Guangya Wan, Saadia Gabriel, et al.2025 · 6 citations
  55. FineReason: Evaluating and Improving LLMs' Deliberate Reasoning through Reflective Puzzle SolvingAnnual Meeting of the Association for Computational Linguistics (ACL)Guizhen Chen, Weiwen Xu, Hao Zhang, et al.2025 · 6 citations
  56. Are Formal and Functional Linguistic Mechanisms Dissociated in Language Models?Computational LinguisticsMichael Hanna, Yonatan Belinkov, Sandro Pezzelle2026 · 5 citations
  57. EIFBENCH: Extremely Complex Instruction Following Benchmark for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Tao Zou, Xinghua Zhang, Haiyang Yu, et al.2025 · 5 citations
  58. Irony Detection, Reasoning and Understanding in Zero-shot LearningarXiv:2501.16884Peiling Yi, Yuhan Xia, Yunfei Long2025 · 5 citations
  59. Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?International Joint Conference on Natural Language Processing (IJCNLP)Kai Yan, Yufei Xu, Zhengyin Du, et al.2025 · 5 citations
  60. VN-MTEB: Vietnamese Massive Text Embedding BenchmarkFindings of the Association for Computational LinguisticsLoc Pham, Tung Luu, Thu Vo, et al.2026 · 4 citations
  61. Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken EnglishProceedings of the AAAI/ACM Conference on AI Ethics and SocietyBryce Anderson, Riley Galpin, Tom S. Juzek2025 · 4 citations
  62. WikiQA-IS: Assisted Benchmark Generation and Automated Evaluation of Icelandic Cultural Knowledge in LLMsWorkshop on the Role of Resources in the Age of Large Language ModelsÞórunn Arnardóttir, Elías Bjartur Einarsson, Garðar Ingvarsson Juto, et al.2025 · 4 citations
  63. Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language ModelsarXiv:2412.15265Yingshui Tan, Boren Zheng, Baihui Zheng, et al.2024 · 4 citations
  64. GemmAr: Enhancing LLMs Through Arabic Instruction-TuningarXiv:2407.02147Hasna Chouikhi, Manel Aloui, Cyrine Ben Hammou, et al.2024 · 4 citations
  65. IndicJR: A Judge-Free Benchmark of Jailbreak Robustness in South Asian LanguagesConference of the European Chapter of the Association for Computational Linguistics (EACL)Priyaranjan Pattnayak, Sanchari Chowdhuri2026 · 3 citations
  66. Adaptive LLM-Symbolic Reasoning via Dynamic Logical Solver CompositionConference of the European Chapter of the Association for Computational Linguistics (EACL)Lei Xu, Pierre Beckmann, Marco Valentino, et al.2026 · 2 citations
  67. Aligning Large Language Models via Fully Self-Synthetic DataAnnual Meeting of the Association for Computational Linguistics (ACL)Shangjian Yin, Zhepei Wei, Xinyu Zhu, et al.2026 · 2 citations
  68. RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, et al.2026 · 2 citations
  69. Tracking the evolution of LLM capabilities for Belarusian with OpenAI EvalsWorkshop on Language Models for Low-Resource LanguagesVladislav Poritski, Oksana Volchek, Maksim Aparovich, et al.2026 · 2 citations
  70. 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
  71. AdaptBPE: From General Purpose to Specialized TokenizersConference of the European Chapter of the Association for Computational Linguistics (EACL)Vijini Pilana Liyanage, François Yvon2026 · 1 citation
  72. AMALIA: A Fully Open Large Language Model for European PortugueseInternational Conference on Computational Processing of PortugueseAfonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos, et al.2026 · 1 citation
  73. Can Models Help Us Create Better Models? Evaluating LLMs as Data ScientistsFindings of the Association for Computational LinguisticsMichał Pietruszka, Łukasz Borchmann, Aleksander Jędrosz, et al.2026 · 1 citation
  74. Chain-of-Thought as a Lens: Evaluating Structured Reasoning Alignment between Human Preferences and Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Boxuan Wang, Zhuoyun Li, Xinmiao Huang, et al.2026 · 1 citation
  75. CorefInst: Leveraging LLMs for Multilingual Coreference ResolutionTransactions of the Association for Computational Linguistics (TACL)Tuğba Pamay Arslan, Emircan Erol, Gülşen Eryiğit2026 · 1 citation
  76. Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Atsuki Yamaguchi, Maggie Mi, Nikolaos Aletras2026 · 1 citation
  77. Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and InvestigationFindings of the Association for Computational LinguisticsYuxiang Wang, Xinnan Dai, Wenqi Fan, et al.2026 · 1 citation
  78. FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness EvaluationFindings of the Association for Computational LinguisticsYulia Otmakhova, Thinh Hung Truong, Rahmad Mahendra, et al.2026 · 1 citation
  79. From Individual to Common: An Early Exploration of Consensus in Non-verifiable Data for Balanced Preference OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Shangjian Yin, Zhouxing Shi2026 · 1 citation
  80. 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
  81. Inferring Events from Time Series using Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingtian Tan, Mike A Merrill, Zachary Gottesman, et al.2026 · 1 citation
  82. KDW at SemEval-2026 Task 12: Logic-Driven Distillation with Knowledge Graphs for Efficient Abductive ReasoningInternational Workshop on Semantic Evaluation (SemEval)Sihan Zhu, Hongjie Wu, Xinyan Xu2026 · 1 citation
  83. MÖVE: A Holistic LLM Benchmark for the German Public SectorarXiv:2606.13111Camilla Dalerci, Thilo Michael, Robin Schaefer, 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. RoZO: Geometry-Aware Zeroth-Order Fine-Tuning on Low-Rank Adapters for Black-Box Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Zichen Song, Weijia Li2026 · 1 citation
  86. TELL-TALE: Task Efficient LLMs with Task Aware Layer EliminationFindings of the Association for Computational LinguisticsOmar Naim, Krish Sharma, Niyar R Barman, et al.2026 · 1 citation
  87. AraEval: An Arabic Multi-Task Evaluation Suite for Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Alhanoof Althnian, Norah A. Alzahrani, Shaykhah Z. Alsubaie, et al.2025 · 1 citation
  88. Construction Grammar Evidence for How LLMs Use Context-Directed Extrapolation to Solve TasksInternational Workshop on Construction Grammars and NLPHarish Tayyar Madabushi, Claire Bonial2025 · 1 citation
  89. A Survey of Large Models in SportsFindings of the Association for Computational LinguisticsYichen Xu, Jianzhe Ma, Chuhan Wang, et al.2026
  90. Are My Optimized Prompts Compromised? Exploring Vulnerabilities of LLM-based OptimizersConference of the European Chapter of the Association for Computational Linguistics (EACL)Andrew Zhao, Reshmi Ghosh, Vitor R. Carvalho, et al.2026
  91. Beyond the Singular: Revealing the Value of Multiple Generations in Benchmark EvaluationFindings of the Association for Computational LinguisticsWenbo Zhang, Hengrui Cai, Wenyu Chen2026
  92. CEI: A Benchmark for Evaluating Pragmatic Reasoning in Language ModelsarXiv:2603.09993Jon Chun, Hannah Sussman, Adrian Mangine, et al.2026
  93. Charting the European LLM Benchmarking Landscape: A New Taxonomy and RegistryShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECSpela Vintar, Mojca Brglez, Taja Kuzman Pungeršek, et al.2026
  94. Computational models of pragmatic reasoning with flexible generation of meaning and expression alternativesarXiv:2607.18443Polina Tsvilodub, Fausto Carcassi, Michael Franke2026
  95. C³D: Enhancing LLM Reasoning via Confidence-Guided Contrastive DecodingFindings of the Association for Computational LinguisticsYufeng Zhang, Xuepeng Wang, Lingxiang Wu, et al.2026
  96. Distilling Examples into Task Instructions: Enhanced In-Context Learning for Real-World B2B ConversationsFindings of the Association for Computational LinguisticsGuy Rotman, Adi Kopilov, Danit Berger Zalmanson, et al.2026
  97. EduBench: A Portuguese Benchmark for Open-Ended Discursive Question AnsweringLanguage Resources and Evaluation Conference (LREC)Pedro Henrique Paiola, Luís Gabriel Damiati Mendes, Bruno de Oliveira Monchelato, et al.2026
  98. From Benchmarks to Skills: Low-Rank Factors for LLM EvaluationTransactions of the Association for Computational Linguistics (TACL)Aviya Maimon, Amir David Nisan Cohen, Gal Vishne, et al.2026
  99. From Conversation to Evaluation: Benchmarking LLMs on Development Knowledge via SimpleDevQAFindings of the Association for Computational LinguisticsJing Zhang, Lianghong Guo, Yanlin Wang, et al.2026
  100. GATE: Graph-based Adaptive Tool Evolution Across Diverse TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Jianwen Luo, Yiming Huang, Jinxiang Meng, et al.2026

1 … 5 6 7

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ryan-teehan/cited-by/page/6/