🧑‍🔬 Who cites Yuanhao Wu

105 citations of their works from 105 papers of our library (of the 149,439 whose bibliographies we read) · 26 with a page here, the most cited first · ← Yuanhao Wu

1. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
2. Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on GraphsFindings of the Association for Computational LinguisticsBowen Jin, Chulin Xie, Jiawei Zhang, et al.2024 · 89 citations
3. Direct Judgement Preference OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)PeiFeng Wang, Austin Xu, Yilun Zhou, et al.2025 · 35 citations
4. RAGEval: Scenario Specific RAG Evaluation Dataset Generation FrameworkAnnual Meeting of the Association for Computational Linguistics (ACL)Kunlun Zhu, Yifan Luo, Dingling Xu, et al.2025 · 34 citations
5. MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation SystemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nandan Thakur, Suleman Kazi, Ge Luo, et al.2025 · 15 citations
6. Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual SettingsAnnual Meeting of the Association for Computational Linguistics (ACL)Austin Xu, Srijan Bansal, Yifei Ming, et al.2025 · 14 citations
7. Sacred or Synthetic? Evaluating LLM Reliability and Abstention for Religious QuestionsProceedings of the AAAI/ACM Conference on AI Ethics and SocietyFarah Atif, Nursultan Askarbekuly, Kareem Darwish, et al.2025 · 8 citations
8. HalluTruthQA: A Fine-Grained Benchmark for Hallucination Detection, Localization, and Explanation in Arabic Question AnsweringarXiv:2607.20219Abdessalam Bouchekif; Mohammed-En-Nadhir Zighem; Salah Eddine Bekhouche; Hichem Telli; Somaya Eltanbouly; Shahd Gaben; Heba Sbahi; Samer Rashwani; Mutaz Al-Khatib; Emad Mohamed; Mohammed Ghaly;, Abdenour Hadid2026 · 3 citations
9. 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
10. Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired DecodingFindings of the Association for Computational LinguisticsWeixu Zhang, Fanghua Ye, Qiang Gao, et al.2026 · 1 citation
11. FaithLens: Detecting and Explaining Faithfulness HallucinationFindings of the Association for Computational LinguisticsShuzheng Si, Qingyi Wang, Haozhe Zhao, et al.2026 · 1 citation
12. Fine-Grained Detection of Context-Grounded Hallucinations Using LLMsFindings of the Association for Computational LinguisticsYehonatan Peisakhovsky, Zorik Gekhman, Yosi Mass, et al.2026 · 1 citation
13. HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination TaxonomyAnnual Meeting of the Association for Computational Linguistics (ACL)Fan Xu, Xinyu Hu, Zhenghan Yu, et al.2026 · 1 citation
14. HalluTruthQA-4K: A Fine-Grained Corpus and Annotation Process for Arabic Hallucination Detection and Truth VerificationarXiv:2608.03966Salah Eddine Bekhouche; Abdessalam Bouchekif; Hichem Telli; Mohammed-En-Nadhir Zighem;, Abdenour Hadid2026 · 1 citation
15. RAGVUE: A Diagnostic View for Explainable and Automated Evaluation of Retrieval-Augmented GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Keerthana Murugaraj, Salima Lamsiyah, Martin Theobald2026 · 1 citation
16. Benchmarking Query-Conditioned Natural Language InferenceFindings of the Association for Computational LinguisticsMarc E. Canby, Xinchi Chen, Xing Niu, et al.2025 · 1 citation
17. A multilingual hallucination benchmarkWorkshop on the Role of Resources in the Age of Large Language ModelsFreja Thoresen, Dan Saattrup Smart2026
18. CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG HallucinationsFindings of the Association for Computational LinguisticsJinWei Shi, Qizhuo Xie, Qianzi Hou, et al.2026
19. Constructing a Dataset for Hallucination Detection in Japanese Summarization with Fine-grained Faithfulness LabelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Hikari Tanaka, Atsushi Keyaki, Mamoru Komachi2026
20. DeepPavlov Strikes Back: A Toolkit for Improving LLM Reliability and TrustworthinessConference of the European Chapter of the Association for Computational Linguistics (EACL)Evgenii Nikolaev, Timur Ionov, Anna Korzanova, et al.2026
21. 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
22. Islamic Large Language Models: From Knowledge Acquisition to Trustworthy and Hallucination-Resistant AIarXiv:2606.16629Mohammed Amine Mouhoub2026
23. LearnerCoMPASS: Intelligent Tutoring System with Dynamic Cognitive Diagnosis and Multi-Model Path PlanningAnnual Meeting of the Association for Computational Linguistics (ACL)Ziji Sheng, Guiyao Tie, Weidong Wang, et al.2026
24. The Digital Dunning-Kruger Effect: Decoupling Hallucinations via Geometric Hidden-state Observation for Semantic TruthfulnessAnnual Meeting of the Association for Computational Linguistics (ACL)Yueheng Mao, Min Yu, Gengwang Li, et al.2026
25. TPA: Next Token Probability Attribution for Detecting Hallucinations in RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Pengqian Lu, Jie Lu, Anjin Liu, et al.2026
26. 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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