🧑‍🔬 Who cites Fabien Roger

172 citations of their works from 157 papers of our library (of the 149,439 whose bibliographies we read) · 41 with a page here, the most cited first · ← Fabien Roger

1. 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
2. The Alignment Problem from a Deep Learning PerspectivearXiv:2209.00626Richard Ngo, Lawrence Chan, Soren Mindermann2022 · 121 citations
3. Reasoning Models Don't Always Say What They ThinkarXiv:2505.05410Yanda Chen, Joe Benton, Ansh Radhakrishnan, et al.2025 · 106 citations
4. The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem ComplexityConference on Neural Information Processing Systems (NeurIPS)Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh, et al.2025 · 104 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. Training Language Models to Reason EfficientlyConference on Neural Information Processing Systems (NeurIPS)Daman Arora, Andrea Zanette2025 · 74 citations
7. Monitoring Reasoning Models for Misbehavior and the Risks of Promoting ObfuscationarXiv:2503.11926Bowen Baker, Joost Huizinga, Leo Gao, et al.2025 · 63 citations
8. Chain-of-Thought Reasoning In The Wild Is Not Always FaithfularXiv:2503.08679Ivan Arcuschin, Jett Janiak, Robert Krzyzanowski, et al.2025 · 52 citations
9. Darwin Godel Machine: Open-Ended Evolution of Self-Improving AgentsarXiv:2505.22954Jenny Zhang, Shengran Hu, Cong Lu, et al.2025 · 47 citations
10. Thought Anchors: Which LLM Reasoning Steps Matter?arXiv:2506.19143Paul C. Bogdan, Uzay Macar, Neel Nanda, et al.2025 · 44 citations
11. A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super IntelligencearXiv:2507.21046Huan-ang Gao, Jiayi Geng, Wenyue Hua, et al.2025 · 36 citations
12. AbstentionBench: Reasoning LLMs Fail on Unanswerable QuestionsConference on Neural Information Processing Systems (NeurIPS)Polina Kirichenko, Mark Ibrahim, Kamalika Chaudhuri, et al.2025 · 35 citations
13. Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the AboveAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Rachel Rudinger, Jordan Boyd-Graber2025 · 28 citations
14. Answer Convergence as a Signal for Early Stopping in ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Xin Liu, Lu Wang2025 · 22 citations
15. Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution LensFindings of the Association for Computational LinguisticsChengshuai Zhao, Zhen Tan, Pingchuan Ma, et al.2026 · 21 citations
16. Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models?arXiv:2505.17407Zhi Rui Tam, Cheng-Kuang Wu, Yu Ying Chiu, et al.2025 · 17 citations
17. Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language ModelsarXiv:2503.24377Rui Wang, Hongru Wang, Boyang Xue, et al.2025 · 16 citations
18. Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path?arXiv:2502.15657Yoshua Bengio, Michael Cohen, Damiano Fornasiere, et al.2025 · 16 citations
19. Measuring Chain of Thought Faithfulness by Unlearning Reasoning StepsConference on Empirical Methods in Natural Language Processing (EMNLP)Martin Tutek, Fateme Hashemi Chaleshtori, Ana Marasovic, et al.2025 · 15 citations
20. IRIS: Interactive Research Ideation System for Accelerating Scientific DiscoveryAnnual Meeting of the Association for Computational Linguistics (ACL)Aniketh Garikaparthi, Manasi Patwardhan, Lovekesh Vig, et al.2025 · 11 citations
21. FaithLM: Towards Faithful Explanations for Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, et al.2026 · 9 citations
22. Thinking beyond the anthropomorphic paradigm benefits LLM researchAnnual Meeting of the Association for Computational Linguistics (ACL)Lujain Ibrahim, Myra Cheng2026 · 8 citations
23. MetaFaith: Faithful Natural Language Uncertainty Expression in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Gabrielle Kaili-May Liu, Gal Yona, Avi Caciularu, et al.2025 · 6 citations
24. Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint VerbalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Kerem Zaman, Shashank Srivastava2026 · 5 citations
25. Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation?Conference on Empirical Methods in Natural Language Processing (EMNLP)Samuel Lewis-Lim, Xingwei Tan, Zhixue Zhao, et al.2025 · 5 citations
26. What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoTarXiv:2509.19284Yunzhen Feng, Julia Kempe, Cheng Zhang, et al.2025 · 4 citations
27. Qwen-Scope: Turning Sparse Features into Development Tools for Large Language ModelsarXiv:2605.11887Boyi Deng, Xu Wang, Yaoning Wang, et al.2026 · 3 citations
28. C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought ReasoningWorkshop on Generation, Evaluation and Metrics (GEM)Avni Mittal, Rauno Arike2026 · 2 citations
29. Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Zhou, Bolei Ma, Annemarie Friedrich, et al.2026 · 2 citations
30. 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
31. Trajectory Signatures of Deception in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Viraaji Mothukuri, Reza M. Parizi2026 · 1 citation
32. Who Endorsed It? Measuring Authority Bias Across Expertise Levels in Language ModelsWorkshop on Generation, Evaluation and Metrics (GEM)Priyanka Mary Mammen, Emil Joswin, Shankar Venkitachalam2026 · 1 citation
33. Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning ModelsFindings of the Association for Computational LinguisticsHoang Phan, Xianjun Yang, Yuanshun Yao, et al.2026
34. Choose Your Lens: Multi-Perspective Value Alignment of Chain-of-Thought ReasoningFindings of the Association for Computational LinguisticsGejian Zhao, Hanzhou Wu, Xinpeng Zhang2026
35. Curing Miracle Steps in LLM Mathematical Reasoning with Rubric RewardsAnnual Meeting of the Association for Computational Linguistics (ACL)Youliang Yuan, Qiuyang Mang, Jingbang Chen, et al.2026
36. Generalizable LLM Learning of Graph Synthetic Data with Post-training AlignmentFindings of the Association for Computational LinguisticsYizhuo Zhang, Heng Wang, Shangbin Feng, et al.2026
37. Knowledge-to-Verification: Exploring RLVR for LLMs in Knowledge-Intensive DomainsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhonghang Yuan, Zhefan Wang, Fang Hu, et al.2026
38. NSF-CoT: Neuro-Symbolic Formal Verification of Chain-of-Thought Faithfulness in Contextual Question AnsweringFindings of the Association for Computational LinguisticsVishal Pramanik, Maisha Maliha, Nathaniel D. Bastian, et al.2026
39. Position: Scores Without Context? Rethinking the Role of Evaluation in the Era of LLMsWorkshop on Generation, Evaluation and Metrics (GEM)Jiawei Zhou2026
40. 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
41. The Inner Monologue of Language Models: When Reasoning Traces Reveal More Than They HideFindings of the Association for Computational LinguisticsPratham Singla, Shivank Garg, Ayush Singh, et al.2026

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