🧑‍🔬 Who cites Yunlong Liang

416 citations of their works from 399 papers of our library (of the 149,439 whose bibliographies we read) · 98 with a page here, the most cited first · ← Yunlong Liang

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 of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
3. G-Eval: NLG Evaluation using Gpt-4 with Better Human AlignmentConference on Empirical Methods in Natural Language Processing (EMNLP)Yang Liu, Dan Iter, Yichong Xu, et al.2023 · 2,000 citations
4. Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language ModelsarXiv:2304.01852 · Meta-Radiology (2023)100,017Yiheng Liu, Tianle Han, Siyuan Ma, et al.2023 · 940 citations
5. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and BeyondACM Transactions on Knowledge Discovery from DataJingfeng Yang, Hongye Jin, Ruixiang Tang, et al.2023 · 814 citations
6. ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebatearXiv:2308.07201Chi-Min Chan, Weize Chen, Yusheng Su, et al.2023 · 359 citations
7. Ragas: Automated Evaluation of Retrieval Augmented GenerationarXiv:2309.15217Shahul Es, Jithin James, Luis Espinosa-Anke, et al.2023 · 283 citations
8. A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark DatasetsFindings of the Association for Computational LinguisticsMd Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, et al.2023 · 200 citations
9. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 189 citations
10. 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
11. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
12. Learning to Compress Prompts with Gist TokensConference on Neural Information Processing Systems (NeurIPS)Jesse Mu, Xiang Lisa Li, Noah Goodman2023 · 178 citations
13. GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak PromptsarXiv:2309.10253Jiahao Yu, Xingwei Lin, Zheng Yu, et al.2023 · 169 citations
14. ChatGPT as a Factual Inconsistency Evaluator for Text SummarizationarXiv:2303.15621Zheheng Luo, Qianqian Xie, Sophia Ananiadou2023 · 161 citations
15. Justice or Prejudice? Quantifying Biases in LLM-as-a-JudgearXiv:2410.02736Jiayi Ye, Yanbo Wang, Yue Huang, et al.2024 · 148 citations
16. LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation TasksarXiv:2406.18403Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, et al.2024 · 141 citations
17. InFoBench: Evaluating Instruction Following Ability in Large Language ModelsFindings of the Association for Computational LinguisticsYiwei Qin, Kaiqiang Song, Yebowen Hu, et al.2024 · 136 citations
18. Human-like Summarization Evaluation with ChatGPTarXiv:2304.02554Mingqi Gao, Jie Ruan, Renliang Sun, et al.2023 · 128 citations
19. Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production TasksarXiv:2306.07899Veniamin Veselovsky, Manoel Horta Ribeiro, Robert West2023 · 127 citations
20. Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liyan Tang, Tanya Goyal, Alex Fabbri, et al.2023 · 126 citations
21. Large Language Models are Not Yet Human-Level Evaluators for Abstractive SummarizationFindings of the Association for Computational LinguisticsChenhui Shen, Liying Cheng, Xuan-Phi Nguyen, et al.2023 · 119 citations
22. Exploring the Use of Large Language Models for Reference-Free Text Quality Evaluation: An Empirical StudyFindings of the Association for Computational LinguisticsYi Chen, Rui Wang, Haiyun Jiang, et al.2023 · 113 citations
23. BooookScore: A systematic exploration of book-length summarization in the era of LLMsarXiv:2310.00785Yapei Chang, Kyle Lo, Tanya Goyal, et al.2023 · 108 citations
24. Benchmarking Foundation Models with Language-Model-as-an-ExaminerConference on Neural Information Processing Systems (NeurIPS)Yushi Bai, Jiahao Ying, Yixin Cao, et al.2023 · 106 citations
25. TrueTeacher: Learning Factual Consistency Evaluation with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zorik Gekhman, Jonathan Herzig, Roee Aharoni, et al.2023 · 106 citations
26. How do Large Language Models Handle Multilingualism?Conference on Neural Information Processing Systems (NeurIPS)Yiran Zhao, Wenxuan Zhang, Guizhen Chen, et al.2024 · 102 citations
27. CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data AnnotationConference on Empirical Methods in Natural Language Processing (EMNLP)Minzhi Li, Taiwei Shi, Caleb Ziems, et al.2023 · 101 citations
28. On Learning to Summarize with Large Language Models as ReferencesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yixin Liu, Kejian Shi, Katherine He, et al.2024 · 94 citations
29. FineSurE: Fine-grained Summarization Evaluation using LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Hwanjun Song, Hang Su, Igor Shalyminov, et al.2024 · 92 citations
30. Universal Self-Consistency for Large Language Model GenerationarXiv:2311.17311Xinyun Chen, Renat Aksitov, Uri Alon, et al.2023 · 92 citations
31. Large Language Models are Inconsistent and Biased EvaluatorsarXiv:2405.01724Rickard Stureborg, Dimitris Alikaniotis, Yoshi Suhara2024 · 91 citations
32. Safety Assessment of Chinese Large Language ModelsarXiv:2304.10436Hao Sun, Zhexin Zhang, Jiawen Deng, et al.2023 · 89 citations
33. LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Adian Liusie, Potsawee Manakul, Mark Gales2024 · 87 citations
34. Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM AssessmentConference on Empirical Methods in Natural Language Processing (EMNLP)Vyas Raina, Adian Liusie, Mark Gales2024 · 86 citations
35. Detoxifying Large Language Models via Knowledge EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Mengru Wang, Ningyu Zhang, Ziwen Xu, et al.2024 · 84 citations
36. Chain-of-Dictionary Prompting Elicits Translation in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Hongyuan Lu, Haoran Yang, Haoyang Huang, et al.2024 · 81 citations
37. Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model EvaluatorsarXiv:2403.16950Yinhong Liu, Han Zhou, Zhijiang Guo, et al.2024 · 76 citations
38. Multilingual Large Language Model: A Survey of Resources, Taxonomy and FrontiersarXiv:2404.04925Libo Qin, Qiguang Chen, Yuhang Zhou, et al.2024 · 75 citations
39. Wider and Deeper LLM Networks are Fairer LLM EvaluatorsarXiv:2308.01862Xinghua Zhang, Bowen Yu, Haiyang Yu, et al.2023 · 75 citations
40. AlignBench: Benchmarking Chinese Alignment of Large Language ModelsarXiv:2311.18743Xiao Liu, Xuanyu Lei, Shengyuan Wang, et al.2023 · 74 citations
41. Unveiling the Implicit Toxicity in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiaxin Wen, Pei Ke, Hao Sun, et al.2023 · 72 citations
42. Calibrating LLM-Based EvaluatorLanguage Resources and Evaluation Conference (LREC)Yuxuan Liu, Tianchi Yang, Shaohan Huang, et al.2024 · 71 citations
43. Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?arXiv:2309.07462Rishav Hada, Varun Gumma, Adrian de Wynter, et al.2023 · 69 citations
44. CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model GenerationarXiv:2311.18702Pei Ke, Bosi Wen, Zhuoer Feng, et al.2023 · 69 citations
45. On Context Utilization in Summarization with Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mathieu Ravaut, Aixin Sun, Nancy Chen, et al.2024 · 67 citations
46. Leveraging Large Language Models for NLG Evaluation: Advances and ChallengesConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Li, Xiaohan Xu, Tao Shen, et al.2024 · 63 citations
47. BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language ModelsLanguage Resources and Evaluation Conference (LREC)Zican Dong, Tianyi Tang, Junyi Li, et al.2024 · 59 citations
48. The Multilingual Alignment Prism: Aligning Global and Local Preferences to Reduce HarmConference on Empirical Methods in Natural Language Processing (EMNLP)Aakanksha, Arash Ahmadian, Beyza Ermis, et al.2024 · 49 citations
49. Learning to Edit: Aligning LLMs with Knowledge EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxin Jiang, Yufei Wang, Chuhan Wu, et al.2024 · 39 citations
50. Direct Judgement Preference OptimizationConference on Empirical Methods in Natural Language Processing (EMNLP)PeiFeng Wang, Austin Xu, Yilun Zhou, et al.2025 · 35 citations
51. Retrieval-Augmented Multilingual Knowledge EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Weixuan Wang, Barry Haddow, Alexandra Birch2024 · 34 citations
52. Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge EvaluationarXiv:2306.05783Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, et al.2023 · 34 citations
53. BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language ModelsarXiv:2309.06085Wei Qi Leong, Jian Gang Ngui, Yosephine Susanto, et al.2023 · 33 citations
54. R1-T1: Fully Incentivizing Translation Capability in LLMs via Reasoning LearningTransactions of the Association for Computational Linguistics (TACL)Minggui He, Yilun Liu, Shimin Tao, et al.2026 · 22 citations
55. QUDeval: The Evaluation of Questions Under Discussion Discourse ParsingYating Wu, Ritika Mangla, Greg Durrett, et al.2023 · 22 citations
56. 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
57. Multilingual Knowledge Editing with Language-Agnostic Factual NeuronsInternational Conference on Computational Linguistics (COLING)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2025 · 17 citations
58. Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Yuan Sui, Yufei He, Zifeng Ding, et al.2025 · 16 citations
59. Towards Reasoning Ability of Small Language ModelsarXiv:2502.11569Gaurav Srivastava, Shuxiang Cao, Xuan Wang2025 · 16 citations
60. What are the Essential Factors in Crafting Effective Long Context Multi-Hop Instruction Datasets? Insights and Best PracticesAnnual Meeting of the Association for Computational Linguistics (ACL)Zhi Chen, Qiguang Chen, Libo Qin, et al.2025 · 15 citations
61. Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-ExpertsAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2025 · 13 citations
62. BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Ercong Nie, Bo Shao, Mingyang Wang, et al.2025 · 12 citations
63. Aligning Large Language Models with Human Opinions through Persona Selection and Value — Belief — Norm ReasoningarXiv:2311.08385Do Xuan Long, Kenji Kawaguchi, Min-Yen Kan, et al.2023 · 12 citations
64. DeepTrans: Deep Reasoning Translation via Reinforcement LearningTransactions of the Association for Computational Linguistics (TACL)Jiaan Wang, Fandong Meng, Jie Zhou2026 · 11 citations
65. Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2026 · 11 citations
66. SSR-Zero: Simple Self-Rewarding Reinforcement Learning for Machine TranslationFindings of the Association for Computational LinguisticsWenjie Yang, Mao Zheng, Mingyang Song, et al.2026 · 10 citations
67. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
68. Can Many-Shot In-Context Learning Help LLMs as Evaluators? A Preliminary Empirical StudyInternational Conference on Computational Linguistics (COLING)Mingyang Song, Mao Zheng, Xuan Luo2025 · 9 citations
69. Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP TasksInternational Conference on Computational Linguistics (COLING)Qintong Li, Leyang Cui, Lingpeng Kong, et al.2025 · 7 citations
70. Beyond Literal Mapping: Benchmarking and Improving Non-Literal Translation EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Yanzhi Tian, Cunxiang Wang, Zeming Liu, et al.2026 · 5 citations
71. Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsRui Qi, Fengran Mo, Yufeng Chen, et al.2026 · 5 citations
72. Test-Time Scaling of Reasoning Models for Machine TranslationConference of the European Chapter of the Association for Computational Linguistics (EACL)Zihao Li, Shaoxiong Ji, Jörg Tiedemann2026 · 5 citations
73. Who is Speaking? Speaker-Aware Multiparty Dialogue Act ClassificationFindings of the Association for Computational LinguisticsAyesha Qamar, Adarsh Pyarelal, Ruihong Huang2023 · 5 citations
74. ExpLang: Improved Exploration and Exploitation in LLM Reasoning with On-Policy Thinking Language SelectionarXiv:2602.21887Changjiang Gao, Zixian Huang, Kaichen Yang, et al.2026 · 4 citations
75. Can ChatGPT Really Understand Modern Chinese Poetry?Findings of the Association for Computational LinguisticsShanshan Wang, Derek F. Wong, Jingming Yao, et al.2026 · 3 citations
76. ClozEx: A Task toward Generation of English Cloze ExplanationFindings of the Association for Computational LinguisticsZizheng Zhang, Masato Mita, Mamoru Komachi2023 · 3 citations
77. 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
78. IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Bosi Wen, Yilin Niu, Cunxiang Wang, et al.2026 · 1 citation
79. Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiang Zhou, Xiaohu Zhao, Xinwei Wu, et al.2026 · 1 citation
80. NeoAMT: Neologism-Aware Agentic Machine Translation with Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Zhongtao Miao, Kaiyan Zhao, Masaaki Nagata, et al.2026 · 1 citation
81. 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
82. An Exploration of Knowledge Editing for ArabicArabic Natural Language Processing Conference (ArabicNLP)Basel Mousi, Nadir Durrani, Fahim Dalvi2025 · 1 citation
83. A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAMΔ Integration into Upcycled MoEAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Zhou, Tianhao Li, Zhijun Wang, et al.2026
84. Automatic Paper Analysis and Categorisation for Systematic Reviews with Combined Reasoning-Augmented SFT and DAPO RLFindings of the Association for Computational LinguisticsMichela Lorandi, Anya Belz, Simon Mille, et al.2026
85. Beyond Simple Term Injection: Reasoning Models for Legal Translation in a Non-Dominant Language VarietyAnnual Conference of the European Association for Machine Translation (EAMT)Paolo Di Natale, Elena Chiocchetti, Marlies Alber, et al.2026
86. Bridging Cognition and Affect: Emotion-Aware Opinion Summarization using LLMsFindings of the Association for Computational LinguisticsArnav Attri, Anuj Attri2026
87. CEMT:Controllable Element-Oriented Machine Translation via Structured Linguistic ReasoningFindings of the Association for Computational LinguisticsLingling Shi, Haoyu Jin, Ruiyu Fang, et al.2026
88. FeedTrans: Enhance Machine Translation via FeedbackTransactions of the Association for Computational Linguistics (TACL)Zengkui Sun, Jiali Zeng, Jiaan Wang, et al.2026
89. Judging Instruction Responses in a Low-Resource Language: A Case Study on BasqueLanguage Resources and Evaluation Conference (LREC)David Ponce, Harritxu Gete, Thierry Etchegoyhen, et al.2026
90. Leveraging Digitized Newspapers to Collect Summarization Data in Low-Resource LanguagesNoam Dahan, Omer Kidron, Gabriel Stanovsky2026
91. Measuring Optimal Challenge: Trajectory-Based Difficulty Alignment in Open-Ended Language TutoringWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Ziqi Shu, Shuman Wang, Michael Hardy2026
92. NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yingfeng Luo, Ziqiang Xu, Yuxuan Ouyang, et al.2026
93. Orthogonal Representation Editing: Decoupling Semantic Entanglement in Batch Knowledge Editing of LLMsFindings of the Association for Computational LinguisticsWenhao Yu, Zhicong Lu, Bo Lv, et al.2026
94. Poller: Are LLMs Suitable for Evaluating Poetry Understanding Task?Findings of the Association for Computational LinguisticsShanshan Wang, Derek F. Wong, Jingming Yao, et al.2026
95. Reasoning as Supportive Context for Machine Translation: A Case Study on Hindi to Bengali Language PairAnnual Conference of the European Association for Machine Translation (EAMT)Kshetrimayum Boynao Singh, Saksham Singh, Partha Pakray, et al.2026
96. SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent SpaceConference of the European Chapter of the Association for Computational Linguistics (EACL)Viktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al.2026
97. Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Yongshi Ye, Biao Fu, Chongxuan Huang, et al.2026
98. 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

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