🔗 Who cites «Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models»

1. 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
2. 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
3. Evaluation Pitfalls and Sparsity Limitations in LLM-based Confidence Estimates for ClassificationFindings of the Association for Computational LinguisticsElena Merdjanovska, Omar Zaidan, Andreas Rücklé2026
4. 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
5. 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

3 more papers of our library cite it; they have no page here yet.

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