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Who cites Owain Evans

2,558 citations of their works from 2,381 papers of our library (of the 149,439 whose bibliographies we read) · 675 with a page here, the most cited first · page 7 of 7 · 601–675 · ← Owain Evans

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  1. Diagnosing Translated Benchmarks: An Automated Quality Assurance Study of the EU20 Benchmark SuiteLanguage Resources and Evaluation Conference (LREC)Klaudia Thellmann, Bernhard Stadler, Michael Färber2026
  2. DialDefer: A Framework for Detecting and Mitigating LLM Dialogic DeferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Parisa Rabbani, Priyam Sahoo, Ruben Mathew, et al.2026
  3. DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning CollectionsFindings of the Association for Computational LinguisticsHaebin Shin, Lei Ji, Xiao Liu, et al.2026
  4. 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
  5. EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressionsAnnual Meeting of the Association for Computational Linguistics (ACL)Charlotte Noel, Nicholas Asher, Olivier Gouvert, et al.2026
  6. FIBER: A Multilingual Evaluation Resource for Factual Inference BiasLanguage Resources and Evaluation Conference (LREC)Evren Ayberk Munis, Deniz Yilmaz, Arianna Muti, et al.2026
  7. FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zixuan Weng, Jinghuai Zhang, Kunlin Cai, et al.2026
  8. 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
  9. 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
  10. 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
  11. 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
  12. GeoLAN: Geometric Learning of Latent Explanatory Directions in Large Language ModelsFindings of the Association for Computational LinguisticsTianyu Pan, Damon L. Woodard2026
  13. Guaranteeing Knowledge Integration with Joint Decoding for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengyi Zhao, Shubo Zhang, Zezhong Wang, et al.2026
  14. HalluAudio: A Comprehensive Benchmark for Hallucination Detection in Large Audio-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Feiyu Zhao, Yiming Chen, Wenhuan Lu, et al.2026
  15. Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual OrthogonalizationFindings of the Association for Computational LinguisticsMingkuan Zhao, Wentao Hu, Tianchen Huang, et al.2026
  16. HalluZig: Hallucination Detection using Zigzag PersistenceConference of the European Chapter of the Association for Computational Linguistics (EACL)Shreyas N. Samaga, Gilberto Gonzalez Arroyo, Tamal K. Dey2026
  17. Harnessing the Latent Space: From Steering Vectors to Model Calibrators for Control and TrustBig Picture v2: Crafting a Research NarrativeNishant Subramani2026
  18. How Do LLMs and VLMs Understand Viewpoint Rotation Without Vision? An Interpretability StudyAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Yang, Ping Jian, Zhongbin Guo, et al.2026
  19. How to Improve LLMs' Performance on Specific Languages: A Perspective on LLM-Derived Language SimilarityAnnual Meeting of the Association for Computational Linguistics (ACL)Xinhe Shi, Qingcheng Zeng, Weihao Xuan, et al.2026
  20. IDEAlign: Comparing Ideas of Large Language Models to Domain ExpertsConference of the European Chapter of the Association for Computational Linguistics (EACL)HyunJi Nam, Lucía Langlois, Jim Malamut, et al.2026
  21. Identifying Collective Intelligence Factor in LLM Agent Groups for Generalizable Multi-Agent System DesignFindings of the Association for Computational LinguisticsZhilun Zhou, Zihan Liu, Jiahe Liu, et al.2026
  22. 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
  23. Identity-Robust Language Model Generation via Content Integrity PreservationAnnual Meeting of the Association for Computational Linguistics (ACL)Miao Zhang, Kelly Chen, Mehrab Tanjim, et al.2026
  24. Improving Chain-of-Thought for Logical Reasoning via Attention-Aware InterventionFindings of the Association for Computational LinguisticsPhuong Minh Nguyen, Dang Huu-Tien, Naoya Inoue2026
  25. Islamic Large Language Models: From Knowledge Acquisition to Trustworthy and Hallucination-Resistant AIarXiv:2606.16629Mohammed Amine Mouhoub2026
  26. JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM EvaluationFindings of the Association for Computational LinguisticsZhichao Shi, Xuhui Jiang, Chengjin Xu, et al.2026
  27. KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM KnowledgeFindings of the Association for Computational LinguisticsAlex Robertson, Huizhi Liang, Mahbub Gani, et al.2026
  28. LaCoMSA: Language-Consistency Multilingual Self-Alignment with Latent Representation RewardingConference of the European Chapter of the Association for Computational Linguistics (EACL)Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen2026
  29. LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Xin Wang, Jiahao Li, Licheng Zhang, et al.2026
  30. Lexical Popularity: Quantifying the Impact of Pre-training for LLM PerformanceConference of the European Chapter of the Association for Computational Linguistics (EACL)Elena Sofia Ruzzetti, Fabio Massimo Zanzotto, Tommaso Caselli2026
  31. LLM Beliefs Are in Their HeadsAnnual Meeting of the Association for Computational Linguistics (ACL)Alessandro Corona Mendozza, Anders Søgaard2026
  32. Lunar-Bench: Towards Evaluating Task-Oriented Reasoning of LLMs in Lunar Exploration ScenariosFindings of the Association for Computational LinguisticsXin-Yu Xiao, Ye Tian, Erwei Yin, et al.2026
  33. Map-of-Actions: Deliberate Reasoning over Multi-Labeled GraphsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraWuguang Ni, Kai Yang2026
  34. Mind the Language Gap: Assessing LLM Safety in ItalianLanguage Resources and Evaluation Conference (LREC)Elena Marafatto, Roberto Navigli2026
  35. MirageBackdoor: A Stealthy Attack that Induces Think-Well-Answer-Wrong ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yizhe Zeng, Wei Zhang, Yunpeng Li, et al.2026
  36. Multi-Constraint State Tracking with Negation: A Diagnostic Benchmark for LLM World ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Ayan Sar, Pranav Singh Puri, Sumit Aich, et al.2026
  37. Neuronal Insights into LLM Attacks: Targeted Neuron Tuning for Precise and Robust Vulnerability PatchingFindings of the Association for Computational LinguisticsDan Shi, Renren Jin, Zhuowen Han, et al.2026
  38. On the Editability of Delta Parameters in Post-Trained ModelsFindings of the Association for Computational LinguisticsQiaoyu Tang, Le Yu, Bowen Yu, et al.2026
  39. Open-access Dataset on Acceptability Ratings of Korean Clausal Constructions by Humans and GPT ModelsLanguage Resources and Evaluation Conference (LREC)Gyu-Ho Shin, Soo-Hwan Lee, Chanyoung Lee2026
  40. Persona-Aware Evaluation of Cognitive Bias in LLMs: From Benchmark to Applied Decision-MakingLanguage Resources and Evaluation Conference (LREC)Katsumasa Yoshikawa, Junya Takayama, Takato Yamazaki2026
  41. PibE-MPP: A Play-it-by-Ear Masking Performance Plug-in for LLMsFindings of the Association for Computational LinguisticsMengwei Wang, Simin Niu, Xun Liang, et al.2026
  42. Polite but Misaligned: Evaluating LLM Politeness Judgments Against Human Pragmatic NormsEMNLP2026Rong Wang; Kun Sun;, Yadong Guo2026
  43. PrefRAG: Correcting Semantic Errors in Auto-Formalization for Logical Reasoning with Program Preference RAGFindings of the Association for Computational LinguisticsYuyin Zhou, Yongmei Liu2026
  44. PRISM: Probing Reasoning, Instruction, and Source Memory in LLM HallucinationsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhe Wu, Guangyu Wang, Yuran Chen, et al.2026
  45. Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not StableFindings of the Association for Computational LinguisticsZhenheng Tang, Qihua Pan, Jingya Shen, et al.2026
  46. Quantifying the Impact of Translation Errors on Multilingual LLM EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Klaudia Thellmann, Bernhard Stadler, Michael Färber, et al.2026
  47. RAG or Learning? Understanding the Limits of LLM Adaptation under Continuous Knowledge Drift in the Real WorldFindings of the Association for Computational LinguisticsHanbing Liu, Lang Cao, Yang Li2026
  48. ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error AnnotationsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yindong Wang, Martin Preiß, Margarita Bugueño, et al.2026
  49. ReFreeKV: Towards Threshold-Free KV Cache CompressionFindings of the Association for Computational LinguisticsXuanfan Ni, Liyan Xu, Chenyang Lyu, et al.2026
  50. Rendering Data Unlearnable by Exploiting LLM Alignment MechanismsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruihan Zhang, Jun Sun2026
  51. Resonant Context Anchoring: Decoupling Attention Routing and Signal Gain at Inference TimeFindings of the Association for Computational LinguisticsMingkuan Zhao, Yide Gao, Wentao Hu, et al.2026
  52. RIFT: Repurposing Negative Samples via Reward-Informed Fine-TuningFindings of the Association for Computational LinguisticsZehua Liu, Shuqi Liu, Tao Zhong, et al.2026
  53. RiT: Rubrics-in-Thinking Reinforcement Learning for Improved Reasoning in Large Language ModelsFindings of the Association for Computational LinguisticsXiaobin Tian, Shuai Yuan, Muyun Ding, et al.2026
  54. RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Jize Wang, Han Wu, Zhiyuan You, et al.2026
  55. SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanxiao Zhao, Yaqian Li, Zihao Bo, et al.2026
  56. SCOPE: Boosting LLM Efficiency with Scoped Position EncodingAnnual Meeting of the Association for Computational Linguistics (ACL)Qingguo Qi, Hongyang Chen, Zhao Li2026
  57. SDC-LoRA: Singular-Subspace Drift Controlled LoRA to Mitigate Knowledge ForgettingFindings of the Association for Computational LinguisticsGeyuan Zhang, Xiaofei Zhou, Shihao Liu, et al.2026
  58. Self-Guided Alignment: Adaptive Preference Sensing for Multi-Objective GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Ning Wang, Zhanyang Liu, Taotao Zhou, et al.2026
  59. Sentiment Analysis and Language Models for KwanyamaLanguage Resources and Evaluation Conference (LREC)Ndapa Nakashole2026
  60. SPQ: An Ensemble Technique for Large Language Model CompressionLanguage Resources and Evaluation Conference (LREC)Jiamin Yao, Eren Gultepe2026
  61. Taming “Zombie” Agents: A Markov State-Aware Framework for Resilient Multi-Agent EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Taolin Zhang, Pukun Zhao, Qizhou Chen, et al.2026
  62. Thesis Proposal: Toward a Human-Centered and Perspective-Aware Framework for Reproducible ML Evaluation and AI AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Deepak Pandita, Christopher M. Homan2026
  63. Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arya Shah, Deepali Mishra, Chaklam Silpasuwanchai2026
  64. Toward Dialect-Aware Safety Evaluation for Arabic Large Language ModelsWorkshop on Trustworthy NLPWajdi Zaghouani2026
  65. TPS-Bench: Evaluating AI Agents' Tool Planning & Scheduling Abilities in Compounding TasksAnnual Meeting of the Association for Computational Linguistics (ACL)Hanwen Xu, Xuyao Huang, Yuzhe Liu, et al.2026
  66. Truth or Sophistry? LoFa: A Benchmark for LLM Robustness Against Logical FallaciesAnnual Meeting of the Association for Computational Linguistics (ACL)Xudong Shen, li Yuan, Ye Chen, et al.2026
  67. Uncovering Strategic Egoism Behaviors in Large Language ModelsFindings of the Association for Computational LinguisticsYaoyuan Zhang, Zonghao Ying, Aishan Liu, et al.2026
  68. Understanding Conflicts in Multi-Objective Alignment through Reward ConsistencyFindings of the Association for Computational LinguisticsZhihao Xu, Yongqi Tong, Xin Zhang, et al.2026
  69. Verifying the Subjective: Structured Multilingual Rewards for Low-Resource AlignmentFindings of the Association for Computational LinguisticsJiu Sha, Mengxiao Zhu2026
  70. Vinclat: Evaluating Reasoning, Cognition and Culture in One GameWorkshop on Multilingual Multicultural EvaluationMarc Pàmies, Javier Aula-Blasco, Aitor Gonzalez-Agirre, et al.2026
  71. What Makes a Good Query? Measuring the Impact of Human-Confusing Linguistic Features on LLM PerformanceFindings of the Association for Computational LinguisticsWilliam Watson, Nicole Cho, Sumitra Ganesh, et al.2026
  72. When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMsFindings of the Association for Computational LinguisticsZhongxiang Sun, Yi Zhan, Chenglei Shen, et al.2026
  73. ZIP: Quantifying Which Words Matter in Zero-Shot Instructional PromptsJoint Conference on Lexical and Computational Semantics (*SEM)Nikta Gohari Sadr, Sangmitra Madhusudan, Arash Asgari, et al.2026
  74. Complexity factors of language models in reading comprehension: a controlled experiment (Étude des facteurs de complexité des modèles de langage dans une tâche de compréhension de lecture à l'aide d'une expérience contrôlée sémantiquement)JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Elie Antoine, Frederic Bechet, Géraldine Damnati, et al.2024
  75. Survey on Hallucinations in Large Language Models (大语言模型的幻觉问题研究综述)Journal of SoftwareZeyuan Liu (刘泽垣), Pengjiang Wang (王鹏江), Xiaobin Song (宋晓斌), et al.2024

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