🧑‍🔬 Who cites Maxim Panov

88 citations of their works from 77 papers of our library (of the 149,439 whose bibliographies we read) · 25 with a page here, the most cited first · ← Maxim Panov

1. Deep Think with ConfidencearXiv:2508.15260Yichao Fu, Xuewei Wang, Yuandong Tian, et al.2025 · 61 citations
2. Knowledge Boundary of Large Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Moxin Li, Yong Zhao, Wenxuan Zhang, et al.2025 · 30 citations
3. Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back HomeAnnual Meeting of the Association for Computational Linguistics (ACL)Viktor Moskvoretskii, Maria Marina, Mikhail Salnikov, et al.2025 · 21 citations
4. Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know?Findings of the Association for Computational LinguisticsZhiting Mei, Christina Zhang, Tenny Yin, et al.2026 · 14 citations
5. Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Artem Vazhentsev, Lyudmila Rvanova, Ivan Lazichny, et al.2025 · 13 citations
6. A Probabilistic Framework for LLM Hallucination Detection via Belief Tree PropagationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bairu Hou, Yang Zhang, Jacob Andreas, et al.2025 · 12 citations
7. Seeing is Believing, but How Much? A Comprehensive Analysis of Verbalized Calibration in Vision-Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Weihao Xuan, Qingcheng Zeng, Heli Qi, et al.2025 · 11 citations
8. Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, et al.2025 · 10 citations
9. CER: Confidence Enhanced Reasoning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ali Razghandi, Seyed Mohammad Hadi Hosseini, Mahdieh Soleymani Baghshah2025 · 8 citations
10. RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human FeedbackInternational Conference on Computational Linguistics (COLING)Guoqing Chen, Fu Zhang, Jinghao Lin, et al.2025 · 5 citations
11. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and OpportunitiesAnnual Meeting of the Association for Computational Linguistics (ACL)Changdae Oh, Seongheon Park, To Eun Kim, et al.2026 · 4 citations
12. AGSC: Adaptive Granularity and Semantic Clustering for Uncertainty Quantification in Long-text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Guanran Luo, Wentao Qiu, Wanru Zhao, et al.2026 · 2 citations
13. Argument-Based Consistency in Toxicity Explanations of LLMsFindings of the Association for Computational LinguisticsRamaravind Kommiya Mothilal, Joanna Roy, Syed Ishtiaque Ahmed, et al.2026 · 2 citations
14. Efficient Self-Evaluation for Diffusion Language Models via Sequence RegenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Linhao Zhong, Linyu Wu, Wen Wang, et al.2026 · 1 citation
15. ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, et al.2026 · 1 citation
16. Streaming Hallucination Detection in Long Chain-of-Thought ReasoningFindings of the Association for Computational LinguisticsHaolang Lu, Minghui Pan, Ripeng LI, et al.2026 · 1 citation
17. Chronos: Learning Temporal Dynamics of Reasoning Chains for Test-Time ScalingFindings of the Association for Computational LinguisticsKai Zhang, Jiayi Liao, Chengpeng Li, et al.2026
18. Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for ClassificationFindings of the Association for Computational LinguisticsElena Merdjanovska, Omar Zaidan, Andreas Rücklé2026
19. Evolutionary Search for Automated Design of Uncertainty Quantification MethodsAnnual Meeting of the Association for Computational Linguistics (ACL)Mikhail Seleznyov, Daniil Korbut, Viktor Moskvoretskii, et al.2026
20. 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
21. LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Xin Wang, Jiahao Li, Licheng Zhang, et al.2026
22. Learning Uncertainty from Sequential Internal Dispersion in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ponhvoan Srey, Xiaobao Wu, Cong-Duy T Nguyen, et al.2026
23. Logical Consistency as a Bridge: Improving LLM Hallucination Detection via Label Constraint Modeling between Responses and Self-JudgmentsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Mi, Qiang Sheng, Shaofei Wang, et al.2026
24. LoVeC: Reinforcement Learning for Better Verbalized Confidence in Long-Form GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Caiqi Zhang, Xiaochen Zhu, Chengzu Li, et al.2026
25. RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zihang Liu, Fang Zhouhua, Hui Liu, et al.2026

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