Cover Image

Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Han, Jinyi, Li, Tingyun, Chen, Shisong, Shi, Jie, Wang, Xinyi, Yue, Guanglei, Liang, Jiaqing, Lin, Xin, Wen, Liqian, Chen, Zulong, Xiao, Yanghua
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

Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience
by: Han, Haixia, et al.
Published: (2024)

AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation
by: Huang, Wenhao, et al.
Published: (2024)

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation
by: Zhao, Yicong, et al.
Published: (2025)

HINT: Helping Ineffective Rollouts Navigate Towards Effectiveness
by: Wang, Xinyi, et al.
Published: (2025)

Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs
by: Jiang, Zishang, et al.
Published: (2025)

A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models
by: Han, Jinyi, et al.
Published: (2025)

SED: Self-Evaluation Decoding Enhances Large Language Models for Better Generation
by: Luo, Ziqin, et al.
Published: (2024)

GenericAgent: A Token-Efficient Self-Evolving LLM Agent via Contextual Information Density Maximization (V1.0)
by: Liang, Jiaqing, et al.
Published: (2026)

What Makes an Ideal Quote? Recommending "Unexpected yet Rational" Quotations via Novelty
by: Zhang, Bowei, et al.
Published: (2025)

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models
by: Du, Chengyu, et al.
Published: (2024)

Enhancing Talent Search Ranking with Role-Aware Expert Mixtures and LLM-based Fine-Grained Job Descriptions
by: Li, Jihang, et al.
Published: (2025)

Character is Destiny: Can Role-Playing Language Agents Make Persona-Driven Decisions?
by: Xu, Rui, et al.
Published: (2024)

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory
by: Zhao, Haokun, et al.
Published: (2025)

Small Language Model Can Self-correct
by: Han, Haixia, et al.
Published: (2024)

Laying the Foundation First? Investigating the Generalization from Atomic Skills to Complex Reasoning Tasks
by: Huang, Yuncheng, et al.
Published: (2024)

MultiLingPoT: Enhancing Mathematical Reasoning with Multilingual Program Fine-tuning
by: Li, Nianqi, et al.
Published: (2024)

OVEL: Large Language Model as Memory Manager for Online Video Entity Linking
by: Zhao, Haiquan, et al.
Published: (2024)

Structured Reasoning for Large Language Models
by: Han, Jinyi, et al.
Published: (2026)

CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes
by: Zhao, Haokun, et al.
Published: (2024)

CultureScope: A Dimensional Lens for Probing Cultural Understanding in LLMs
by: Zhang, Jinghao, et al.
Published: (2025)

Capturing Minds, Not Just Words: Enhancing Role-Playing Language Models with Personality-Indicative Data
by: Ran, Yiting, et al.
Published: (2024)

BookWorld: From Novels to Interactive Agent Societies for Creative Story Generation
by: Ran, Yiting, et al.
Published: (2025)

From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models
by: He, Qianyu, et al.
Published: (2024)

TagLLM: A Fine-Grained Tag Generation Approach for Note Recommendation
by: Chen, Zhijian, et al.
Published: (2026)

QUILL: Quotation Generation Enhancement of Large Language Models
by: Xiao, Jin, et al.
Published: (2024)

Polynomial Invariant Generation for Floating-Point Programs
by: Cai, Xuran, et al.
Published: (2025)

Skeletons Matter: Dynamic Data Augmentation for Text-to-Query
by: Ji, Yuchen, et al.
Published: (2025)

Can Pre-trained Language Models Understand Chinese Humor?
by: Chen, Yuyan, et al.
Published: (2024)

SEGMENT+: Long Text Processing with Short-Context Language Models
by: Shi, Wei, et al.
Published: (2024)

Enhancing Quantitative Reasoning Skills of Large Language Models through Dimension Perception
by: Huang, Yuncheng, et al.
Published: (2023)

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
by: Zhang, Yifei, et al.
Published: (2024)

ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
by: Yuan, Siyu, et al.
Published: (2023)

Go with Your Gut: Scaling Confidence for Autoregressive Image Generation
by: Chen, Harold Haodong, et al.
Published: (2025)

SEA-Eval: A Benchmark for Evaluating Self-Evolving Agents Beyond Episodic Assessment
by: Jiang, Sihang, et al.
Published: (2026)

Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts
by: Ouyang, Sheng, et al.
Published: (2025)

Confidence Interval Construction for Causally Generalized Estimates With Target Sample Summary Information
by: Yi Chen, et al.
Published: (2026)

Fine-Grained Domain Generalization with Feature Structuralization
by: Yu, Wenlong, et al.
Published: (2024)

ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment
by: Yang, Hao, et al.
Published: (2026)

Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
by: Xia, Sirui, et al.
Published: (2024)

Adaptive Ordered Information Extraction with Deep Reinforcement Learning
by: Huang, Wenhao, et al.
Published: (2023)