🧑‍🔬 Who cites John Hughes

90 citations of their works from 90 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← John Hughes

1. Will we run out of data? Limits of LLM scaling based on human-generated dataarXiv:2211.04325Pablo Villalobos, Anson Ho, Jaime Sevilla, et al.2022 · 198 citations
2. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 195 citations
3. AI Alignment: A Comprehensive SurveyarXiv:2310.19852Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al.2023 · 173 citations
4. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Justin Chen, Swarnadeep Saha, Mohit Bansal2024 · 156 citations
5. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
6. Judging the Judges: A Systematic Study of Position Bias in LLM-as-a-JudgeInternational Joint Conference on Natural Language Processing (IJCNLP)Lin Shi, Chiyu Ma, Wenhua Liang, et al.2025 · 71 citations
7. Scaling Large Language Model-based Multi-Agent CollaborationarXiv:2406.07155Chen Qian, Zihao Xie, YiFei Wang, et al.2024 · 70 citations
8. Reasoning Aware Self-Consistency: Leveraging Reasoning Paths for Efficient LLM SamplingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Guangya Wan, Yuqi Wu, Jie Chen, et al.2025 · 29 citations
9. 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
10. Conformity in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaochen Zhu, Caiqi Zhang, Tom Stafford, et al.2025 · 18 citations
11. Auto-Arena: Automating LLM Evaluations with Agent Peer Battles and Committee DiscussionsAnnual Meeting of the Association for Computational Linguistics (ACL)Ruochen Zhao, Wenxuan Zhang, Yew Ken Chia, et al.2025 · 16 citations
12. MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Chanwoo Park, Seungju Han, Xingzhi Guo, et al.2025 · 15 citations
13. Preference Optimization for Reasoning with Pseudo FeedbackarXiv:2411.16345Fangkai Jiao, Geyang Guo, Xingxing Zhang, et al.2024 · 15 citations
14. Multiple LLM Agents Debate for Equitable Cultural AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Dayeon Ki, Rachel Rudinger, Tianyi Zhou, et al.2025 · 10 citations
15. BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Taolin Zhang, Dongyang Li, Qizhou Chen, et al.2025 · 9 citations
16. ReAgent: Reversible Multi-Agent Reasoning for Knowledge-Enhanced Multi-Hop QAConference on Empirical Methods in Natural Language Processing (EMNLP)Zhao Xinjie, Fan Gao, Xingyu Song, et al.2025 · 8 citations
17. Graders Should Cheat: Privileged Information Enables Expert-Level Automated EvaluationsConference on Empirical Methods in Natural Language Processing (EMNLP)Jin Peng Zhou, Séb Arnold, Nan Ding, et al.2025 · 3 citations
18. DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Nithin Sivakumaran, Justin Chen, David Wan, et al.2026 · 1 citation
19. The Thin Line Between Comprehension and Persuasion in LLMsFindings of the Association for Computational LinguisticsAdrian de Wynter, Tangming Yuan2026 · 1 citation
20. Towards Simulating Social Media Users with LLMs: Evaluating the Operational Validity of Conditioned Comment PredictionWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisNils Schwager, Simon Münker, Alistair Plum, et al.2026 · 1 citation
21. When Vision-Language Models Judge Without Seeing: Exposing Informativeness BiasAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, et al.2026 · 1 citation
22. A Game-Theoretic Negotiation Framework for Cross-Cultural ConsensusAnnual Meeting of the Association for Computational Linguistics (ACL)Guoxi Zhang, Jiawei Chen, Tianzhuo Yang, et al.2026
23. Agentic Oversight via Dialectic ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Leonardo Ranaldi, Federico Ranaldi2026
24. Can LLMs Really Judge? A Progressive Argumentation-Mining Framework for Distinguishing Understanding from AggregationFindings of the Association for Computational LinguisticsFuyu Wang, Jiangtong Li, Kun Zhu, et al.2026
25. DSMentor: Curriculum-Guided Inference with Online Memory for Data-Science LLM AgentsWorkshop on Structured Understanding, Retrieval, and Generation in the LLM EraHe Wang, Alexander Hanbo Li, Yiqun Hu, et al.2026
26. 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
27. Multi-Agent Debate for Machine Translation: A Case Study on English-Japanese TranslationAnnual Conference of the European Association for Machine Translation (EAMT)Zhan Shen, Jason Naradowsky, Xiaotian Wang, et al.2026
28. Superficial Success vs. Internal Breakdown: An Empirical Study of Generalization in Adaptive Multi-Agent SystemsFindings of the Association for Computational LinguisticsNamyeong So, Seokgyu Jang, Taeuk Kim2026

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