Revisiting Epistemic Markers in Confidence Estimation: Can Markers Accurately Reflect Large Language Models' Uncertainty?
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Jiayu, Zong, Qing, Wang, Weiqi, Song, Yangqiu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CritiCal: Can Critique Help LLM Uncertainty or Confidence Calibration?
by: Zong, Qing, et al.
Published: (2025)
by: Zong, Qing, et al.
Published: (2025)
Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning
by: Yu, Yahan, et al.
Published: (2026)
by: Yu, Yahan, et al.
Published: (2026)
MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset
by: Wang, Weiqi, et al.
Published: (2024)
by: Wang, Weiqi, et al.
Published: (2024)
ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning
by: Zhang, Liyu, et al.
Published: (2024)
by: Zhang, Liyu, et al.
Published: (2024)
ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty
by: Zong, Qing, et al.
Published: (2024)
by: Zong, Qing, et al.
Published: (2024)
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation
by: Lee, Dongryeol, et al.
Published: (2024)
by: Lee, Dongryeol, et al.
Published: (2024)
GoldCoin: Grounding Large Language Models in Privacy Laws via Contextual Integrity Theory
by: Fan, Wei, et al.
Published: (2024)
by: Fan, Wei, et al.
Published: (2024)
NAACL: Noise-AwAre Verbal Confidence Calibration for Robust LLMs in RAG Systems
by: Liu, Jiayu, et al.
Published: (2026)
by: Liu, Jiayu, et al.
Published: (2026)
From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery
by: Zheng, Tianshi, et al.
Published: (2025)
by: Zheng, Tianshi, et al.
Published: (2025)
KNOWCOMP POKEMON Team at DialAM-2024: A Two-Stage Pipeline for Detecting Relations in Dialogical Argument Mining
by: Zheng, Zihao, et al.
Published: (2024)
by: Zheng, Zihao, et al.
Published: (2024)
Acquiring and Modelling Abstract Commonsense Knowledge via Conceptualization
by: He, Mutian, et al.
Published: (2022)
by: He, Mutian, et al.
Published: (2022)
Rethinking Prospect Theory for LLMs: Revealing the Instability of Decision-Making under Epistemic Uncertainty
by: Wang, Rui, et al.
Published: (2025)
by: Wang, Rui, et al.
Published: (2025)
Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language Models
by: Lin, Zizheng, et al.
Published: (2024)
by: Lin, Zizheng, et al.
Published: (2024)
PlantMarkerBench: A Multi-Species Benchmark for Evidence-Grounded Plant Marker Reasoning
by: Dip, Sajib Acharjee, et al.
Published: (2026)
by: Dip, Sajib Acharjee, et al.
Published: (2026)
Revisiting Uncertainty Estimation and Calibration of Large Language Models
by: Tao, Linwei, et al.
Published: (2025)
by: Tao, Linwei, et al.
Published: (2025)
Modeling Clinical Uncertainty in Radiology Reports: from Explicit Uncertainty Markers to Implicit Reasoning Pathways
by: Rabaey, Paloma, et al.
Published: (2025)
by: Rabaey, Paloma, et al.
Published: (2025)
The Prompting Brain: Neurocognitive Markers of Expertise in Guiding Large Language Models
by: Al-Khalifa, Hend, et al.
Published: (2025)
by: Al-Khalifa, Hend, et al.
Published: (2025)
Uncertainty Quantification and Confidence Calibration in Large Language Models: A Survey
by: Liu, Xiaoou, et al.
Published: (2025)
by: Liu, Xiaoou, et al.
Published: (2025)
Enhancing Marker Scoring Accuracy through Ordinal Confidence Modelling in Educational Assessments
by: Chakravarty, Abhirup, et al.
Published: (2025)
by: Chakravarty, Abhirup, et al.
Published: (2025)
KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education?
by: Zheng, Tianshi, et al.
Published: (2024)
by: Zheng, Tianshi, et al.
Published: (2024)
CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning
by: Wang, Weiqi, et al.
Published: (2024)
by: Wang, Weiqi, et al.
Published: (2024)
AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph
by: Wang, Zhaowei, et al.
Published: (2023)
by: Wang, Zhaowei, et al.
Published: (2023)
Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
by: Zhao, Xinran, et al.
Published: (2024)
by: Zhao, Xinran, et al.
Published: (2024)
Confidence Estimation for Text-to-SQL in Large Language Models
by: Maleki, Sepideh Entezari, et al.
Published: (2025)
by: Maleki, Sepideh Entezari, et al.
Published: (2025)
arXiv2Table: Toward Realistic Benchmarking and Evaluation for LLM-Based Literature-Review Table Generation
by: Wang, Weiqi, et al.
Published: (2025)
by: Wang, Weiqi, et al.
Published: (2025)
MIKO: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery
by: Lu, Feihong, et al.
Published: (2024)
by: Lu, Feihong, et al.
Published: (2024)
A Survey of Confidence Estimation and Calibration in Large Language Models
by: Geng, Jiahui, et al.
Published: (2023)
by: Geng, Jiahui, et al.
Published: (2023)
MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models
by: Xue, Boyang, et al.
Published: (2024)
by: Xue, Boyang, et al.
Published: (2024)
MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models
by: Xue, Boyang, et al.
Published: (2024)
by: Xue, Boyang, et al.
Published: (2024)
Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning
by: Ma, Zhiyuan, et al.
Published: (2025)
by: Ma, Zhiyuan, et al.
Published: (2025)
Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models
by: Wang, Pei, et al.
Published: (2024)
by: Wang, Pei, et al.
Published: (2024)
AbsInstruct: Eliciting Abstraction Ability from LLMs through Explanation Tuning with Plausibility Estimation
by: Wang, Zhaowei, et al.
Published: (2024)
by: Wang, Zhaowei, et al.
Published: (2024)
Towards Harmonized Uncertainty Estimation for Large Language Models
by: Li, Rui, et al.
Published: (2025)
by: Li, Rui, et al.
Published: (2025)
Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models
by: Lin, Zhen, et al.
Published: (2023)
by: Lin, Zhen, et al.
Published: (2023)
Uncertainty Unveiled: Can Exposure to More In-context Examples Mitigate Uncertainty for Large Language Models?
by: Wang, Yifei, et al.
Published: (2025)
by: Wang, Yifei, et al.
Published: (2025)
Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models
by: Li, Loka, et al.
Published: (2024)
by: Li, Loka, et al.
Published: (2024)
The Role of Model Confidence on Bias Effects in Measured Uncertainties for Vision-Language Models
by: Liu, Xinyi, et al.
Published: (2025)
by: Liu, Xinyi, et al.
Published: (2025)
Structuring the Unstructured: A Systematic Review of Text-to-Structure Generation for Agentic AI with a Universal Evaluation Framework
by: Deng, Zheye, et al.
Published: (2025)
by: Deng, Zheye, et al.
Published: (2025)
On Epistemic Uncertainty of Visual Tokens for Object Hallucinations in Large Vision-Language Models
by: Seo, Hoigi, et al.
Published: (2025)
by: Seo, Hoigi, et al.
Published: (2025)
A Survey of Uncertainty Estimation Methods on Large Language Models
by: Xia, Zhiqiu, et al.
Published: (2025)
by: Xia, Zhiqiu, et al.
Published: (2025)
Similar Items
-
CritiCal: Can Critique Help LLM Uncertainty or Confidence Calibration?
by: Zong, Qing, et al.
Published: (2025) -
Revisiting Anthropomorphic Reflection Markers in Large Language Model Reasoning
by: Yu, Yahan, et al.
Published: (2026) -
MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation Dataset
by: Wang, Weiqi, et al.
Published: (2024) -
ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning
by: Zhang, Liyu, et al.
Published: (2024) -
ComparisonQA: Evaluating Factuality Robustness of LLMs Through Knowledge Frequency Control and Uncertainty
by: Zong, Qing, et al.
Published: (2024)