🧑‍🔬 Who cites Eyke Hüllermeier

287 citations of their works from 286 papers of our library (of the 149,439 whose bibliographies we read) · 68 with a page here, the most cited first · ← Eyke Hüllermeier

1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
2. A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,648 citations
3. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
4. 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
5. HybridFlow: A Flexible and Efficient RLHF FrameworkarXiv:2409.19256Guangming Sheng, Chi Zhang, Zilingfeng Ye, et al.2024 · 624 citations
6. Cultural Bias and Cultural Alignment of Large Language ModelsarXiv:2311.14096 · PNAS Nexus, Volume 3, Issue 9, September 2024, pgae346Yan Tao, Olga Viberg, Ryan S. Baker, et al.2023 · 470 citations
7. BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference DatasetConference on Neural Information Processing Systems (NeurIPS)Jiaming Ji, Mickel Liu, Juntao Dai, et al.2023 · 362 citations
8. Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement LearningarXiv:2503.09516Bowen Jin, Hansi Zeng, Zhenrui Yue, et al.2025 · 322 citations
9. Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical StudyWorkshop on Cross-Cultural Considerations in NLPYong Cao, Li Zhou, Seolhwa Lee, et al.2023 · 279 citations
10. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
11. Safe RLHF: Safe Reinforcement Learning from Human FeedbackarXiv:2310.12773Josef Dai, Xuehai Pan, Ruiyang Sun, et al.2023 · 217 citations
12. Two Tales of Persona in LLMs: A Survey of Role-Playing and PersonalizationFindings of the Association for Computational LinguisticsYu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.2024 · 179 citations
13. GPT detectors are biased against non-native English writersarXiv:2304.02819Weixin Liang, Mert Yuksekgonul, Yining Mao, et al.2023 · 110 citations
14. Large language models for education: A survey and outlookWang2024 · 101 citations
15. ToolRL: Reward is All Tool Learning NeedsarXiv:2504.13958Cheng Qian, Emre Can Acikgoz, Qi He, et al.2025 · 94 citations
16. MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to UsearXiv:2310.03128Yue Huang, Jiawen Shi, Yuan Li, et al.2023 · 81 citations
17. Large Language Models in Law: A SurveyarXiv:2312.03718Jinqi Lai, Wensheng Gan, Jiayang Wu, et al.2023 · 80 citations
18. Secrets of RLHF in Large Language Models Part II: Reward ModelingarXiv:2401.06080Binghai Wang, Rui Zheng, Lu Chen, et al.2024 · 72 citations
19. Are Large Language Models Capable of Generating Human-Level Narratives?Conference on Empirical Methods in Natural Language Processing (EMNLP)Yufei Tian, Tenghao Huang, Miri Liu, et al.2024 · 67 citations
20. Dialect prejudice predicts AI decisions about people's character, employability, and criminalityarXiv:2403.00742Valentin Hofmann, Pratyusha Ria Kalluri, Dan Jurafsky, et al.2024 · 57 citations
21. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
22. On the application of Large Language Models for language teaching and assessment technologyarXiv:2307.08393Andrew Caines, Luca Benedetto, Shiva Taslimipoor, et al.2023 · 51 citations
23. NormAd: A Framework for Measuring the Cultural Adaptability of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Abhinav Rao, Akhila Yerukola, Vishwa Shah, et al.2025 · 46 citations
24. ValueBench: Towards Comprehensively Evaluating Value Orientations and Understanding of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanyi Ren, Haoran Ye, Hanjun Fang, et al.2024 · 43 citations
25. Performance Comparison of Large Language Models on VNHSGE English Dataset: OpenAI ChatGPT, Microsoft Bing Chat, and Google BardarXiv:2307.02288Xuan-Quy Dao2023 · 27 citations
26. Conformity in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaochen Zhu, Caiqi Zhang, Tom Stafford, et al.2025 · 18 citations
27. Safer or Luckier? LLMs as Safety Evaluators Are Not Robust to ArtifactsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongyu Chen, Seraphina Goldfarb-Tarrant2025 · 13 citations
28. Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?arXiv:2312.02065Donya Rooein, Amanda Cercas Curry, Dirk Hovy2023 · 13 citations
29. LLM-Based Human-Agent Collaboration and Interaction Systems: A SurveyFindings of the Association for Computational LinguisticsHenry Peng Zou, Wei-Chieh Huang, Yaozu Wu, et al.2026 · 12 citations
30. How well can LLMs Grade Essays in Arabic?arXiv:2501.16516Rayed Ghazawi, Edwin Simpson2025 · 11 citations
31. EventRL: Enhancing Event Extraction with Outcome Supervision for Large Language ModelsarXiv:2402.11430Jun Gao, Huan Zhao, Wei Wang, et al.2024 · 11 citations
32. Mixed Distillation Helps Smaller Language Model Better ReasoningarXiv:2312.10730Chenglin Li, Qianglong Chen, Liangyue Li, et al.2023 · 11 citations
33. A Survey of Inductive Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kedi Chen, Dezhao Ruan, Yuhao Dan, et al.2026 · 10 citations
34. Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text GenerationDominik Glandorf, Detmar Meurers2024 · 7 citations
35. Capturing the full potential of Maltese language learning through ChatGPTTechnology in Language Teaching & Learning 6Jacqueline Żammit2024 · 6 citations
36. Automatic Reviewers Fail to Detect Faulty Reasoning in Research Papers: A New Counterfactual Evaluation FrameworkTransactions of the Association for Computational Linguistics (TACL)Nils Dycke, Iryna Gurevych2026 · 5 citations
37. Can LLMs Automate Fact-Checking Article Writing?Transactions of the Association for Computational Linguistics (TACL)Dhruv Sahnan, David Corney, Irene Larraz, et al.2026 · 5 citations
38. AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Hong Ting Tsang, Jiaxin Bai, Haoyu Huang, et al.2026 · 4 citations
39. Instructional Agents: Reducing Teaching Faculty Workload through Multi-Agent Instructional DesignConference of the European Chapter of the Association for Computational Linguistics (EACL)Huaiyuan Yao, Wanpeng Xu, Justin Turnau, et al.2026 · 4 citations
40. ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongxin Ding, Baixiang Huang, Yue Fang, et al.2026 · 4 citations
41. Large Language Models For Second Language English Writing Assessments: An Exploratory ComparisonPacific Asia Conference on Language, Information and Computation (PACLIC)Zhuang Qiu, Peizhi Yan, Zhenguang Cai2024 · 3 citations
42. OpenGenAlign: A Preference Dataset and Benchmark for Trustworthy Reward Modeling in Open-Ended, Long-Context GenerationFindings of the Association for Computational LinguisticsHanning Zhang, Juntong Song, Juno Zhu, et al.2026 · 2 citations
43. Deciphering Emotions in Children Storybooks: A Comparative Analysis of Multimodal LLMs in Educational ApplicationsarXiv:2506.18201Bushra Asseri, Estabraq Abdelaziz, Maha Al Mogren, et al.2025 · 2 citations
44. DeSegMa-IT at EVALITA 2026: Overview of the “Detection and Segmentation of Machine Generated Texts in Italian”Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final WorkshopGiovanni Puccetti, Andrea Pedrotti, Andrea Esuli2026 · 1 citation
45. Do LLM Agents Mirror Socio-Cognitive Effects in Power-Asymmetric Conversations?Annual Meeting of the Association for Computational Linguistics (ACL)Anvesh Rao Vijjini, Sagar B. Manjunath, Snigdha Chaturvedi2026 · 1 citation
46. Position: From Noise to Signal to Selbstzweck - Reframing Human Label Variation in the Era of Post-training in NLPFindings of the Association for Computational LinguisticsShanshan Xu, Santosh T.Y.S.S, Barbara Plank2026 · 1 citation
47. AI-Assisted Learning in Arabic Grammar: Investigating the Use of ChatGPT and Digital Platforms in Arabic LearningAl-Ta rib Jurnal Ilmiah Program Studi Pendidikan Bahasa Arab IAIN Palangka RayaRani Ismil Hakim, Isra Hayati Darman, Ade Destri Deviana, et al.2026
48. Can LLMs Control Readability? A Multi-Dimensional Evaluation Framework for CEFR-Controlled Arabic GenerationJoint Workshop on Readability and Text Simplification (READIxTSAR) @ LRECNour Rabih, Chatrine Qwaider, Ted Briscoe2026
49. CARL: Constraint-Aware Reinforcement Learning for Planning with LLMsFindings of the Association for Computational LinguisticsQiuyi Qi, Jinjian Zhang, Mutian Bao, et al.2026
50. CodeGuard: Improving LLM Guardrails in CS EducationFindings of the Association for Computational LinguisticsNishat Raihan, Noah Erdachew, Jayoti Devi, et al.2026
51. Creation and Validation of a Monolingual Spanish NLI Dataset for Metaphor Interpretation via Model-in-the-LoopLearning Non-Literal Expressions with Small Data @ LRECAlec Sanchez-Montero, Gemma Bel-Enguix, Sergio Luis Ojeda Trueba2026
52. DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value MappingAnnual Meeting of the Association for Computational Linguistics (ACL)Pengyun Zhu, Yuqi Ren, Zhen Wang, et al.2026
53. From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Chen Zhan, Xiaoyu Tan, Gengchen Ma, et al.2026
54. GigaCheck: Detecting LLM-generated Content via Object-Centric Span LocalizationFindings of the Association for Computational LinguisticsIrina Tolstykh, Aleksandra Tsybina, Sergey Yakubson, et al.2026
55. IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized StartersAnnual Meeting of the Association for Computational Linguistics (ACL)Hongwei Zheng, Weiqi Wu, Zhengjia Wang, et al.2026
56. Improving LLM Domain Certification with Pretrained Guide ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Jiaqian Zhang, Zhaozhi Qian, Faroq AL-Tam, et al.2026
57. Joint Optimization of Training Data and Policy in RLHFFindings of the Association for Computational LinguisticsZhuohao Yu, Jiali Zeng, Weizheng Gu, et al.2026
58. Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical DistributionsAnnual Meeting of the Association for Computational Linguistics (ACL)Minda Zhao, Yilun Du, Mengyu Wang2026
59. LIBERTy: A Causal Framework for Benchmarking Concept-Based Explanations of LLMs with Structural CounterfactualsFindings of the Association for Computational LinguisticsGilat Toker, Nitay Calderon, Ohad Amosy, et al.2026
60. Low-Rank Compression of Language Models via Differentiable Rank SelectionLanguage Resources and Evaluation Conference (LREC)Sidhant Sundrani, Francesco Tudisco, Pasquale Minervini2026
61. Nanda Family: Open-Weights Generative Large Language Models for HindiConference of the European Chapter of the Association for Computational Linguistics (EACL)Aaryamonvikram Singh, Debopriyo Banerjee, Dhruv Sahnan, et al.2026
62. NITI: Neural Plan Concretization for Incremental Execution, Bridging and Trigger Inference from Underspecified Human PoliciesFindings of the Association for Computational LinguisticsAyan Banerjee, Shomrik Barua Banerjee, Sandeep Gupta2026
63. PARL: Prompt-based Agents for Reinforcement LearningLanguage Resources and Evaluation Conference (LREC)Yarik Menchaca Resendiz, Roman Klinger2026
64. See2Refine: Vision-Language Feedback Improves LLM-Based eHMI Action DesignersAnnual Meeting of the Association for Computational Linguistics (ACL)Ding Xia, Xinyue Gui, Mark Colley, et al.2026
65. TeachMaster: Generative Teaching via CodeAnnual Meeting of the Association for Computational Linguistics (ACL)Yuheng Wang, Runde Yang, Lin Wu, et al.2026
66. Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bolei Ma, Yong Cao, Indira Sen, et al.2026
67. Which Skills Debate Reaches the Public? Comparing Scientific Literature and Media Coverage of AI and LLM Skill Impacts (2022–2025)Edition of the Swiss Text Analytics ConferenceMaud Reveilhac, Gerold Schneider, Bohdan Trembovelskyi, et al.2026
68. Survey on Code Generation with LLM-based Agents (基于大语言模型智能体的代码生成综述)Journal of SoftwareYihong Dong (董益宏), Xue Jiang (姜雪), Jiaru Qian (钱家如), et al.2025

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