🔗 Who cites «Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs»

1. BaseCal: Unsupervised Confidence Calibration via Base Model SignalsAnnual Meeting of the Association for Computational Linguistics (ACL)Hexiang Tan, Wanli Yang, Junwei Zhang, et al.2026 · 1 citation
2. Beyond Meta-Reasoning: Metacognitive Consolidation for Self-Improving LLM ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqing Zhuang, Linhai Zhang, Jiasheng Si, et al.2026 · 1 citation
3. CoAct: Co-Active LLM Preference Learning with Human-AI SynergyAnnual Meeting of the Association for Computational Linguistics (ACL)Ruiyao Xu, Mihir Parmar, Tiankai Yang, et al.2026 · 1 citation
4. CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-EvolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Teng Pan, Yuchen Yan, Zixuan Wang, et al.2026 · 1 citation
5. 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
6. 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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