Calibrating the Confidence of Large Language Models by Eliciting Fidelity
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Mozhi, Huang, Mianqiu, Shi, Rundong, Guo, Linsen, Peng, Chong, Yan, Peng, Zhou, Yaqian, Qiu, Xipeng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time
by: Zhang, Mozhi, et al.
Published: (2024)
by: Zhang, Mozhi, et al.
Published: (2024)
Thus Spake Long-Context Large Language Model
by: Liu, Xiaoran, et al.
Published: (2025)
by: Liu, Xiaoran, et al.
Published: (2025)
LongSafety: Enhance Safety for Long-Context LLMs
by: Huang, Mianqiu, et al.
Published: (2024)
by: Huang, Mianqiu, et al.
Published: (2024)
Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
by: Zhang, Mozhi, et al.
Published: (2025)
by: Zhang, Mozhi, et al.
Published: (2025)
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
by: Zhang, Xin, et al.
Published: (2023)
by: Zhang, Xin, et al.
Published: (2023)
Data-free Weight Compress and Denoise for Large Language Models
by: Peng, Runyu, et al.
Published: (2024)
by: Peng, Runyu, et al.
Published: (2024)
How Attention Sinks Emerge in Large Language Models: An Interpretability Perspective
by: Peng, Runyu, et al.
Published: (2026)
by: Peng, Runyu, et al.
Published: (2026)
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation
by: Zhu, Qin, et al.
Published: (2024)
by: Zhu, Qin, et al.
Published: (2024)
Training-Free Long-Context Scaling of Large Language Models
by: An, Chenxin, et al.
Published: (2024)
by: An, Chenxin, et al.
Published: (2024)
Explicit Multi-head Attention for Inter-head Interaction in Large Language Models
by: Peng, Runyu, et al.
Published: (2026)
by: Peng, Runyu, et al.
Published: (2026)
Emergent Structured Representations Support Flexible In-Context Inference in Large Language Models
by: Xu, Ningyu, et al.
Published: (2026)
by: Xu, Ningyu, et al.
Published: (2026)
SteerConf: Steering LLMs for Confidence Elicitation
by: Zhou, Ziang, et al.
Published: (2025)
by: Zhou, Ziang, et al.
Published: (2025)
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences
by: Liu, Xiangyang, et al.
Published: (2025)
by: Liu, Xiangyang, et al.
Published: (2025)
HintMR: Eliciting Stronger Mathematical Reasoning in Small Language Models
by: Hossain, Jawad, et al.
Published: (2026)
by: Hossain, Jawad, et al.
Published: (2026)
Confidence Elicitation: A New Attack Vector for Large Language Models
by: Formento, Brian, et al.
Published: (2025)
by: Formento, Brian, et al.
Published: (2025)
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models
by: Wang, Zekun Moore, et al.
Published: (2023)
by: Wang, Zekun Moore, et al.
Published: (2023)
Graph-based Confidence Calibration for Large Language Models
by: Li, Yukun, et al.
Published: (2024)
by: Li, Yukun, et al.
Published: (2024)
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)
AutoLogi: Automated Generation of Logic Puzzles for Evaluating Reasoning Abilities of Large Language Models
by: Zhu, Qin, et al.
Published: (2025)
by: Zhu, Qin, et al.
Published: (2025)
SpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems
by: Zhang, Dong, et al.
Published: (2024)
by: Zhang, Dong, et al.
Published: (2024)
GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models
by: Zhang, Zhaohan, et al.
Published: (2025)
by: Zhang, Zhaohan, 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)
Scaling Laws for Fact Memorization of Large Language Models
by: Lu, Xingyu, et al.
Published: (2024)
by: Lu, Xingyu, et al.
Published: (2024)
Confidence over Time: Confidence Calibration with Temporal Logic for Large Language Model Reasoning
by: Mao, Zhenjiang, et al.
Published: (2026)
by: Mao, Zhenjiang, et al.
Published: (2026)
Error Classification of Large Language Models on Math Word Problems: A Dynamically Adaptive Framework
by: Sun, Yuhong, et al.
Published: (2025)
by: Sun, Yuhong, et al.
Published: (2025)
Full Parameter Fine-tuning for Large Language Models with Limited Resources
by: Lv, Kai, et al.
Published: (2023)
by: Lv, Kai, et al.
Published: (2023)
Confidence Calibration in Large Language Model-Based Entity Matching
by: Kamsteeg, Iris, et al.
Published: (2025)
by: Kamsteeg, Iris, et al.
Published: (2025)
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)
In-Memory Learning: A Declarative Learning Framework for Large Language Models
by: Wang, Bo, et al.
Published: (2024)
by: Wang, Bo, et al.
Published: (2024)
Contrastive Knowledge Transfer and Robust Optimization for Secure Alignment of Large Language Models
by: Zheng, Jiasen, et al.
Published: (2025)
by: Zheng, Jiasen, et al.
Published: (2025)
Benchmarking Hallucination in Large Language Models based on Unanswerable Math Word Problem
by: Sun, Yuhong, et al.
Published: (2024)
by: Sun, Yuhong, et al.
Published: (2024)
VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models Reasoning
by: Xiao, Wenyi, et al.
Published: (2026)
by: Xiao, Wenyi, et al.
Published: (2026)
Chain-of-Dictionary Prompting Elicits Translation in Large Language Models
by: Lu, Hongyuan, et al.
Published: (2023)
by: Lu, Hongyuan, et al.
Published: (2023)
Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning
by: Zhang, Chuang, et al.
Published: (2026)
by: Zhang, Chuang, et al.
Published: (2026)
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models
by: Stengel-Eskin, Elias, et al.
Published: (2024)
by: Stengel-Eskin, Elias, et al.
Published: (2024)
Decoupled Proxy Alignment: Mitigating Language Prior Conflict for Multimodal Alignment in MLLM
by: Tan, Chenkun, et al.
Published: (2025)
by: Tan, Chenkun, et al.
Published: (2025)
Dimension-Level Intent Fidelity Evaluation for Large Language Models: Evidence from Structured Prompt Ablation
by: Peng, GAng
Published: (2026)
by: Peng, GAng
Published: (2026)
OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models
by: Shao, Wenqi, et al.
Published: (2023)
by: Shao, Wenqi, et al.
Published: (2023)
Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions
by: Li, Jiahuan, et al.
Published: (2023)
by: Li, Jiahuan, et al.
Published: (2023)
QA-Calibration of Language Model Confidence Scores
by: Manggala, Putra, et al.
Published: (2024)
by: Manggala, Putra, et al.
Published: (2024)
Similar Items
-
MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time
by: Zhang, Mozhi, et al.
Published: (2024) -
Thus Spake Long-Context Large Language Model
by: Liu, Xiaoran, et al.
Published: (2025) -
LongSafety: Enhance Safety for Long-Context LLMs
by: Huang, Mianqiu, et al.
Published: (2024) -
Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training
by: Zhang, Mozhi, et al.
Published: (2025) -
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models
by: Zhang, Xin, et al.
Published: (2023)