Who cites «Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness»
- LUQ: Long-text Uncertainty Quantification for LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Caiqi Zhang, Fangyu Liu, Marco Basaldella, et al.2024 · 42 citations
- 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
- MUR: Momentum Uncertainty guided Reasoning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hang Yan, Fangzhi Xu, Rongman Xu, et al.2026 · 8 citations
- 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
- Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?Annual Meeting of the Association for Computational Linguistics (ACL)Jiayu Liu, Qing Zong, Weiqi Wang, et al.2025 · 8 citations
- 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
- Explaining Sources of Uncertainty in Automated Fact-CheckingAnnual Meeting of the Association for Computational Linguistics (ACL)Jingyi Sun, Greta Warren, Irina Shklovski, et al.2026 · 3 citations
- Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty EstimationAnnual Meeting of the Association for Computational Linguistics (ACL)Bhaktipriya Radharapu, Eshika Saxena, Kenneth Li, et al.2026
This page in Markdown → https://md.research.elamur.ai/free/en/papers/chen-2024-quantifying-uncertainty-answers-any-language/cited-by/