Cover Image

Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Huang, Liangjie, Li, Dawei, Liu, Huan, Cheng, Lu
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Contextualization Distillation from Large Language Model for Knowledge Graph Completion
by: Li, Dawei, et al.
Published: (2024)

Credence Calibration Game? Calibrating Large Language Models through Structured Play
by: Fang, Ke, et al.
Published: (2025)

Beyond the Speculative Game: A Survey of Speculative Execution in Large Language Models
by: Zhang, Chen, et al.
Published: (2024)

Large Language Models Can Self-Improve in Long-context Reasoning
by: Li, Siheng, et al.
Published: (2024)

Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey
by: Mondorf, Philipp, et al.
Published: (2024)

Advancing Large Language Model Attribution through Self-Improving
by: Huang, Lei, et al.
Published: (2024)

Calibrating Verbalized Probabilities for Large Language Models
by: Wang, Cheng, et al.
Published: (2024)

Beyond Self-Reports: Multi-Observer Agents for Personality Assessment in Large Language Models
by: Huang, Yin Jou, et al.
Published: (2025)

From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
by: Li, Dawei, et al.
Published: (2024)

DLLMQuant: Quantizing Diffusion-based Large Language Models
by: Xu, Chen, et al.
Published: (2025)

Importance Weighting Can Help Large Language Models Self-Improve
by: Jiang, Chunyang, et al.
Published: (2024)

Measuring Stability Beyond Accuracy in Small Open-Source Medical Large Language Models for Pediatric Endocrinology
by: D'Amario, Vanessa, et al.
Published: (2025)

SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models
by: Cheng, Jiale, et al.
Published: (2024)

Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency
by: Li, Taiji, et al.
Published: (2024)

The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models
by: Chen, Yanjun, et al.
Published: (2024)

GraphGPT: Graph Instruction Tuning for Large Language Models
by: Tang, Jiabin, et al.
Published: (2023)

Improving Automatic Summarization of Radiology Reports through Mid-Training of Large Language Models
by: Lyu, Mengxian, et al.
Published: (2026)

Beyond Self-Consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging
by: Chang, Chia-Hsuan, et al.
Published: (2024)

Graph-based Confidence Calibration for Large Language Models
by: Li, Yukun, et al.
Published: (2024)

ChemAgent: Self-updating Library in Large Language Models Improves Chemical Reasoning
by: Tang, Xiangru, et al.
Published: (2025)

Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models
by: He, Wei, et al.
Published: (2024)

SLearnLLM: A Self-Learning Framework for Efficient Domain-Specific Adaptation of Large Language Models
by: Liu, Xiang, et al.
Published: (2025)

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

Self-Anchoring Calibration Drift in Large Language Models: How Multi-Turn Conversations Reshape Model Confidence
by: Harshavardhan
Published: (2026)

Improving Retrieval Augmented Language Model with Self-Reasoning
by: Xia, Yuan, et al.
Published: (2024)

Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning
by: Zhang, Chuang, et al.
Published: (2026)

Resonance RoPE: Improving Context Length Generalization of Large Language Models
by: Wang, Suyuchen, et al.
Published: (2024)

Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models
by: Dong, Guanting, et al.
Published: (2024)

An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios
by: Li, Zongjie, et al.
Published: (2024)

A Survey on Self-Evolution of Large Language Models
by: Tao, Zhengwei, et al.
Published: (2024)

SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents
by: Li, Dawei, et al.
Published: (2024)

Full-ECE: A Metric For Token-level Calibration on Large Language Models
by: Liu, Han, et al.
Published: (2024)

Evaluating the Feasibility and Accuracy of Large Language Models for Medical History-Taking in Obstetrics and Gynecology
by: Liu, Dou, et al.
Published: (2025)

SAIL: Self-Improving Efficient Online Alignment of Large Language Models
by: Ding, Mucong, et al.
Published: (2024)

SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models
by: Zhang, Jianyi, et al.
Published: (2024)

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

UrbanGPT: Spatio-Temporal Large Language Models
by: Li, Zhonghang, et al.
Published: (2024)

Revisiting Uncertainty Estimation and Calibration of Large Language Models
by: Tao, Linwei, et al.
Published: (2025)

SEAL: Steerable Reasoning Calibration of Large Language Models for Free
by: Chen, Runjin, et al.
Published: (2025)

A Survey of Confidence Estimation and Calibration in Large Language Models
by: Geng, Jiahui, et al.
Published: (2023)