Cover Image

Revisiting Uncertainty Estimation and Calibration of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tao, Linwei, Yeh, Yi-Fan, Dong, Minjing, Huang, Tao, Torr, Philip, Xu, Chang
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Large Language Models Express Uncertainty Like Human?
by: Tao, Linwei, et al.
Published: (2025)

Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors
by: Tao, Linwei, et al.
Published: (2024)

Confidence Calibration under Ambiguous Ground Truth
by: Tao, Linwei, et al.
Published: (2026)

Feature Clipping for Uncertainty Calibration
by: Tao, Linwei, et al.
Published: (2024)

Retrieval-Augmented Linguistic Calibration
by: Yeh, Yi-Fan, et al.
Published: (2026)

A Benchmark Study on Calibration
by: Tao, Linwei, et al.
Published: (2023)

Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models
by: Lin, Jinxu, et al.
Published: (2024)

Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration
by: Zhu, Younan, et al.
Published: (2025)

Uncertainty Weighted Gradients for Model Calibration
by: Lin, Jinxu, et al.
Published: (2025)

WATS: Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling
by: Li, Xiaoyang, et al.
Published: (2025)

Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models
by: Lan, Michael, et al.
Published: (2023)

Sample Margin-Aware Recalibration of Temperature Scaling
by: Guo, Haolan, et al.
Published: (2025)

Beyond One-Hot Labels: Semantic Mixing for Model Calibration
by: Luo, Haoyang, et al.
Published: (2025)

Uncertainty in Language Models: Assessment through Rank-Calibration
by: Huang, Xinmeng, et al.
Published: (2024)

Enhancing Trust in Large Language Models via Uncertainty-Calibrated Fine-Tuning
by: Krishnan, Ranganath, et al.
Published: (2024)

IUQ: Interrogative Uncertainty Quantification for Long-Form Large Language Model Generation
by: Fan, Haozhi, et al.
Published: (2026)

Quantifying Feature Space Universality Across Large Language Models via Sparse Autoencoders
by: Lan, Michael, et al.
Published: (2024)

From Local to Global: Revisiting Structured Pruning Paradigms for Large Language Models
by: Wang, Ziyan, et al.
Published: (2025)

Dist2ill: Distributional Distillation for One-Pass Uncertainty Estimation in Large Language Models
by: Zhao, Yicong, et al.
Published: (2025)

TokUR: Token-Level Uncertainty Estimation for Large Language Model Reasoning
by: Zhang, Tunyu, et al.
Published: (2025)

Systematic Outliers in Large Language Models
by: An, Yongqi, et al.
Published: (2025)

Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models
by: Zhang, Wenxuan, et al.
Published: (2024)

Calibrating Long-form Generations from Large Language Models
by: Huang, Yukun, et al.
Published: (2024)

GENUINE: Graph Enhanced Multi-level Uncertainty Estimation for Large Language Models
by: Wang, Tuo, et al.
Published: (2025)

PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation
by: Fan, Tao, et al.
Published: (2025)

Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
by: Shukla, Divyaksh, et al.
Published: (2026)

Improving Large Language Models with Concept-Aware Fine-Tuning
by: Chen, Michael K., et al.
Published: (2025)

Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models
by: Kuan, Chun-Yi, et al.
Published: (2026)

On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
by: Wang, Ziyu, et al.
Published: (2024)

SConU: Selective Conformal Uncertainty in Large Language Models
by: Wang, Zhiyuan, et al.
Published: (2025)

Beware of Calibration Data for Pruning Large Language Models
by: Ji, Yixin, et al.
Published: (2024)

On Calibration of Large Language Models: From Response To Capability
by: Yang, Sin-Han, et al.
Published: (2026)

Calibrating Large Language Models Using Their Generations Only
by: Ulmer, Dennis, et al.
Published: (2024)

AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models
by: Yeh, Cheng-Kai, et al.
Published: (2025)

Rethinking Visual Prompting for Multimodal Large Language Models with External Knowledge
by: Lin, Yuanze, et al.
Published: (2024)

On Prompt-Driven Safeguarding for Large Language Models
by: Zheng, Chujie, et al.
Published: (2024)

Revisiting the Shape Convention of Transformer Language Models
by: Liao, Feng-Ting, et al.
Published: (2026)

Revisiting In-context Learning Inference Circuit in Large Language Models
by: Cho, Hakaze, et al.
Published: (2024)

Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
by: Santilli, Andrea, et al.
Published: (2025)

Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models
by: Tao, Yongding, et al.
Published: (2025)