🧑‍🔬 Who cites Canyu Chen

339 citations of their works from 315 papers of our library (of the 149,439 whose bibliographies we read) · 87 with a page here, the most cited first · ← Canyu Chen

1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
2. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyarXiv:2312.02003Yifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,186 citations
3. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
4. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
5. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
6. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
7. RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Niu, Yuanhao Wu, Juno Zhu, et al.2024 · 207 citations
8. Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 182 citations
9. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
10. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsTransactions of the Association for Computational Linguistics (TACL)Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 161 citations
11. Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvaturearXiv:2310.05130Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.2023 · 148 citations
12. LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context MultitasksarXiv:2412.15204Yushi Bai, Shangqing Tu, Jiajie Zhang, et al.2024 · 135 citations
13. Jailbreak and Guard Aligned Language Models with Only Few In-Context DemonstrationsarXiv:2310.06387Zeming Wei, Yifei Wang, Ang Li, et al.2023 · 130 citations
14. Can LLM-Generated Misinformation Be Detected?arXiv:2309.13788Canyu Chen, Kai Shu2023 · 108 citations
15. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
16. PlanGenLLMs: A Modern Survey of LLM Planning CapabilitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Hui Wei, Zihao Zhang, Shenghua He, et al.2025 · 55 citations
17. The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitay Calderon, Roi Reichart, Rotem Dror2025 · 52 citations
18. Disentangling Memory and Reasoning Ability in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyu Jin, Weidi Luo, Sitao Cheng, et al.2025 · 45 citations
19. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
20. Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?Annual Meeting of the Association for Computational Linguistics (ACL)Hexiang Tan, Fei Sun, Wanli Yang, et al.2024 · 37 citations
21. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
22. M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Zhaopeng Feng, Jiayuan Su, Jiamei Zheng, et al.2025 · 24 citations
23. DRP: Distilled Reasoning Pruning with Skill-aware Step Decomposition for Efficient Large Reasoning ModelsarXiv:2505.13975Yuxuan Jiang, Dawei Li, Francis Ferraro2025 · 21 citations
24. Understanding the Dark Side of LLMs' Intrinsic Self-CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Qingjie Zhang, Di Wang, Haoting Qian, et al.2025 · 21 citations
25. MLaKE: Multilingual Knowledge Editing Benchmark for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Zihao Wei, Jingcheng Deng, Liang Pang, et al.2025 · 20 citations
26. VerIF: Verification Engineering for Reinforcement Learning in Instruction FollowingConference on Empirical Methods in Natural Language Processing (EMNLP)Hao Peng, Yunjia Qi, Xiaozhi Wang, et al.2025 · 18 citations
27. CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome RewardConference on Empirical Methods in Natural Language Processing (EMNLP)Shudong Liu, Hongwei Liu, Junnan Liu, et al.2025 · 16 citations
28. TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer ReviewConference on Empirical Methods in Natural Language Processing (EMNLP)Yuan Chang, Ziyue Li, Hengyuan Zhang, et al.2025 · 16 citations
29. FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongzhan Lin, Yang Deng, Yuxuan Gu, et al.2025 · 15 citations
30. RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Guanting Dong, Jiajie Jin, Xiaoxi Li, et al.2025 · 14 citations
31. DeepTrans: Deep Reasoning Translation via Reinforcement LearningTransactions of the Association for Computational Linguistics (TACL)Jiaan Wang, Fandong Meng, Jie Zhou2026 · 11 citations
32. UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated SupervisionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Fang, Ruiyan Han, XinYu Sun, et al.2026 · 11 citations
33. Beyond the Surface: Measuring Self-Preference in LLM JudgmentsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhi-Yuan Chen, Hao Wang, Xinyu Zhang, et al.2025 · 10 citations
34. Position: LLMs Can be Good Tutors in English EducationConference on Empirical Methods in Natural Language Processing (EMNLP)Jingheng Ye, Shen Wang, Deqing Zou, et al.2025 · 9 citations
35. Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and AlignmentarXiv:2501.13080Melissa Kazemi Rad, Huy Nghiem, Andy Luo, et al.2025 · 9 citations
36. The Mirage of Model Editing: Revisiting Evaluation in the WildAnnual Meeting of the Association for Computational Linguistics (ACL)Wanli Yang, Fei Sun, Jiajun Tan, et al.2025 · 9 citations
37. 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
38. Shared Imagination: LLMs Hallucinate AlikearXiv:2407.16604Yilun Zhou, Caiming Xiong, Silvio Savarese, et al.2024 · 7 citations
39. Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM AgentsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanchen Bei, Tianxin Wei, Xuying Ning, et al.2026 · 6 citations
40. Collaborative Multi-Agent Scripts Generation for Enhancing Imperfect-Information Reasoning in Murder Mystery GamesFindings of the Association for Computational LinguisticsKeyang Zhong, Junlin Xie, Hefeng Wu, et al.2026 · 5 citations
41. Mem²Evolve: Towards Self-Evolving Agents via Co-Evolutionary Capability Expansion and Experience DistillationAnnual Meeting of the Association for Computational Linguistics (ACL)Zihao Cheng, Zeming Liu, Yingyu Shan, et al.2026 · 5 citations
42. From Scores to Steps: Diagnosing and Improving LLM Performance in Evidence-Based Medical CalculationsConference on Empirical Methods in Natural Language Processing (EMNLP)Benlu Wang, Iris Xia, Yifan Zhang, et al.2025 · 5 citations
43. 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
44. ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM InteractionFindings of the Association for Computational LinguisticsLvhua Wu, Xuefeng Jiang, Sheng Sun, et al.2026 · 3 citations
45. AILS-NTUA at SemEval-2026 Task 10: Agentic LLMs for Psycholinguistic Marker Extraction and Conspiracy Endorsement DetectionInternational Workshop on Semantic Evaluation (SemEval)Panagiotis Spanakis, Maria Lymperaiou, Giorgos Filandrianos, et al.2026 · 2 citations
46. LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General IntelligenceFindings of the Association for Computational LinguisticsWenjin Liu, Haoran Luo, Xin Feng, et al.2026 · 2 citations
47. QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsDehai Min, Kailin Zhang, Tongtong Wu, et al.2026 · 2 citations
48. 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
49. EvolvR: Self-Evolving Pairwise Reasoning for Story Evaluation to Enhance GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xinda Wang, Zhengxu Hou, Yangshijie Zhang, et al.2026 · 1 citation
50. Investigating Language and Retrieval Bias in Multilingual Previously Fact-Checked Claim DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Ivan Vykopal, Antonia Karamolegkou, Jaroslav Kopčan, et al.2026 · 1 citation
51. Label Effects: Shared Heuristic Reliance in Trust Assessment by Humans and LLM-as-a-JudgeAnnual Meeting of the Association for Computational Linguistics (ACL)Xin Sun, Di Wu, Sijing Qin, et al.2026 · 1 citation
52. Prior Beliefs Prejudice LLM-as-Judge: Evidence from Persuasion EvaluationFindings of the Association for Computational LinguisticsPardis Sadat Zahraei, Xiaoning Wang, Nimet Beyza Bozdag, et al.2026 · 1 citation
53. SCAN: Structured Capability Assessment and Navigation for LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Zongqi Wang, Tianle Gu, Chen Gong, et al.2026 · 1 citation
54. Structured and Abstractive Reasoning on Multi-modal Relational Knowledge ImagesFindings of the Association for Computational LinguisticsYichi Zhang, Zhuo Chen, Lingbing Guo, et al.2026 · 1 citation
55. Topic-Based Watermarks for Large Language ModelsFindings of the Association for Computational LinguisticsAlexander Nemecek, Yuzhou Jiang, Erman Ayday2026 · 1 citation
56. Trajectory Signatures of Deception in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Viraaji Mothukuri, Reza M. Parizi2026 · 1 citation
57. When LLMs Annotate: Reliability Challenges in Low-Resource NLIWorkshop on Language Models for Low-Resource LanguagesSolmaz Panahi, John Kelleher, Vasudevan Nedumpozhimana2026 · 1 citation
58. AJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware EvaluationFindings of the Association for Computational LinguisticsWentao Shi, Yu Wang, Yuyang Zhao, et al.2026
59. Alignment Tuning for Large Language Models: A Data-Centric Lens on Alignment Data PipelinesFindings of the Association for Computational LinguisticsHwanjun Song2026
60. An Evaluation of Classifiers for Mapping Generative LLM Responses to Answer Options of Multiple-choice QuestionnairesConference of the European Chapter of the Association for Computational Linguistics (EACL)Alisea Stroligo, Anna Shamray, Julian Schelb, et al.2026
61. Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language ModelsFindings of the Association for Computational LinguisticsShuhao Zhang, Yuli Chen, Jiale Han, et al.2026
62. Beyond Detection: Evaluating Fallacy Awareness of LLMs in Interactive ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Conghui Niu, Ningxin Wu, Ziran Zhao, et al.2026
63. Beyond Overlap Metrics: Rewarding Reasoning and Preferences for Faithful Multi-Role Dialogue SummarizationFindings of the Association for Computational LinguisticsXiaoyong Mei, Tingting Zuo, Da Chen, et al.2026
64. CAMEC: Complexity-Aware Multi-Expert Collaboration for Reliable Chinese Medical Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yukang Wu, Xiyuan Jia, Jiayi Wu, et al.2026
65. Can AI-Generated Persuasion Be Detected? Persuaficial Benchmark and AI vs. Human Linguistic DifferencesAnnual Meeting of the Association for Computational Linguistics (ACL)Arkadiusz Modzelewski, Paweł Golik, Anna Kołos, et al.2026
66. Commonsense Knowledge with Negation: A Resource to Enhance Negation UnderstandingFindings of the Association for Computational LinguisticsZijie Wang, MohammadHossein Rezaei, Farzana Rashid, et al.2026
67. D²-RAG: Dual-Decision Retrieval-Augmented Generation via Multi-Dimensional Uncertainty and Utility-Aware DecodingFindings of the Association for Computational LinguisticsJinshuo Zhang, Xiaoding Zhou, Weiyu Zhang, et al.2026
68. From Detection to Attribution: Forensic Linguistics and Adversarial Red Teaming as Complementary Responses to LLM MisuseInternational Conference on Natural Language Processing and Artificial Intelligence for Cyber SecurityRui Sousa-Silva2026
69. HiGoE: Hierarchical Graph of Evidence to Enhance Retrieval-Augmented Generation for Long-context SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Long Yuan, Kaiwen Tian, Zi Chen, et al.2026
70. How Much Would a Clinician Edit This Draft? Evaluating LLM Alignment for Patient Message Response DraftingAnnual Meeting of the Association for Computational Linguistics (ACL)Parker Seegmiller, Joseph Gatto, Sarah E. Greer, et al.2026
71. InsideOut: Measuring and Mitigating Insider–Outsider Bias in Interview Script GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Wan, Xingrun Chen, Kai-Wei Chang2026
72. LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenxuan Xu, Arvind Pillai, Subigya Nepal, et al.2026
73. Mitigating Judgment Preference Bias in Large Language Models through Group-Based PollingFindings of the Association for Computational LinguisticsShuliang Liu, Zhipeng Xu, Zhenghao Liu, et al.2026
74. Mitigating Selection Bias in Large Language Models via Permutation-Aware GRPOAnnual Meeting of the Association for Computational Linguistics (ACL)Jinquan Zheng, Jia Yuan, Jiacheng Yao, et al.2026
75. PRISM: Probabilistic Reward Model with Inherent Structural ModelingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuhang Zhou, Yixin Cao, Yuchen Ni, et al.2026
76. 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
77. Quantifying and Improving the Robustness of Retrieval-Augmented Language Models Against Spurious Features in Grounding DataAnnual Meeting of the Association for Computational Linguistics (ACL)Shiping Yang, Jie Wu, Wenbiao Ding, et al.2026
78. RADO: Reasoning Audit-Driven Optimization for Rigorous Reasoning in High-Stakes DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijie Tan, Xu Chu, Guanyu Wang, et al.2026
79. 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
80. 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
81. RSA-Bench: Benchmarking Audio Large Models in Real-World Acoustic ScenariosFindings of the Association for Computational LinguisticsYibo Zhang, Kaiwen Luo, Liang Lin, et al.2026
82. Small Language Models for Less-Resourced Languages in a Real-World Scenario: The Case for CatalanSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesRoser Saurí, Josep Sànchez-Ferreres, Lluis Padro, et al.2026
83. TeamFusion: Supporting Open-ended Teamwork with Multi-Agent SystemsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiale Liu, Victor Bursztyn, Lin Ai, et al.2026
84. TriEx: A Game-based Tri-View Framework for Explaining Internal Reasoning in Multi-Agent LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyi Wang, Chen Zhang, Wenjun Peng, et al.2026
85. When Facts Change: Temporal Knowledge Conflict Resolution in LLMsFindings of the Association for Computational LinguisticsJonas Wallat, Wolfgang Nejdl, Sandipan Sikdar2026
86. Who Generates More Empathetic Responses–-Humans or LLMs? A Comparative Evaluation with Human and LLM JudgesConference on Computational Natural Language Learning (CoNLL)Anuradha Welivita, Fawzia Zeitoun, Pearl Pu2026
87. Leveraging AI to Bridge Classical Arabic and Modern Standard Arabic for Text SimplificationNew Horizons in Computational Linguistics for Religious TextsShatha Altammami2025

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