Saved in:
| Main Authors: | Xie, Zhihui, Guo, Jizhou, Yu, Tong, Li, Shuai |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.18711 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning
by: Zhou, Zhi, et al.
Published: (2025)
by: Zhou, Zhi, et al.
Published: (2025)
Self-Consistency Boosts Calibration for Math Reasoning
by: Wang, Ante, et al.
Published: (2024)
by: Wang, Ante, et al.
Published: (2024)
Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals
by: Torrielli, Federico, et al.
Published: (2026)
by: Torrielli, Federico, et al.
Published: (2026)
LENS: Learning Ensemble Confidence from Neural States for Multi-LLM Answer Integration
by: Guo, Jizhou
Published: (2025)
by: Guo, Jizhou
Published: (2025)
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
by: Xu, Qiancheng, et al.
Published: (2026)
by: Xu, Qiancheng, et al.
Published: (2026)
DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models
by: Cui, Wendi, et al.
Published: (2024)
by: Cui, Wendi, et al.
Published: (2024)
Cross-Lingual Consistency: A Novel Inference Framework for Advancing Reasoning in Large Language Models
by: Yu, Zhiwei, et al.
Published: (2025)
by: Yu, Zhiwei, et al.
Published: (2025)
Evaluating Consistency and Reasoning Capabilities of Large Language Models
by: Saxena, Yash, et al.
Published: (2024)
by: Saxena, Yash, et al.
Published: (2024)
KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning
by: Wang, Shuai, et al.
Published: (2026)
by: Wang, Shuai, et al.
Published: (2026)
Stepwise Self-Consistent Mathematical Reasoning with Large Language Models
by: Zhao, Zilong, et al.
Published: (2024)
by: Zhao, Zilong, et al.
Published: (2024)
SEAL: Steerable Reasoning Calibration of Large Language Models for Free
by: Chen, Runjin, et al.
Published: (2025)
by: Chen, Runjin, et al.
Published: (2025)
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization
by: Min, Nay Myat, et al.
Published: (2024)
by: Min, Nay Myat, et al.
Published: (2024)
Think Consistently, Reason Efficiently: Energy-Based Calibration for Implicit Chain-of-Thought
by: Chen, Zhikang, et al.
Published: (2025)
by: Chen, Zhikang, et al.
Published: (2025)
Timo: Towards Better Temporal Reasoning for Language Models
by: Su, Zhaochen, et al.
Published: (2024)
by: Su, Zhaochen, et al.
Published: (2024)
Mining Intrinsic Rewards from LLM Hidden States for Efficient Best-of-N Sampling
by: Guo, Jizhou, et al.
Published: (2025)
by: Guo, Jizhou, et al.
Published: (2025)
MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools
by: Subramani, Nishant, et al.
Published: (2025)
by: Subramani, Nishant, et al.
Published: (2025)
Probabilistic Modeling of Intentions in Socially Intelligent LLM Agents
by: Xia, Feifan, et al.
Published: (2025)
by: Xia, Feifan, et al.
Published: (2025)
Spatiotemporal Hidden-State Dynamics as a Signature of Internal Reasoning in Large Language Models
by: Furuya, Kotaro, et al.
Published: (2026)
by: Furuya, Kotaro, et al.
Published: (2026)
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)
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)
Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
by: Jia, Boyu, et al.
Published: (2025)
by: Jia, Boyu, et al.
Published: (2025)
Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use
by: Pang, Renning, et al.
Published: (2026)
by: Pang, Renning, et al.
Published: (2026)
Embedding Self-Correction as an Inherent Ability in Large Language Models for Enhanced Mathematical Reasoning
by: Gao, Kuofeng, et al.
Published: (2024)
by: Gao, Kuofeng, et al.
Published: (2024)
HAVE: Head-Adaptive Gating and ValuE Calibration for Hallucination Mitigation in Large Language Models
by: Tong, Xin, et al.
Published: (2025)
by: Tong, Xin, et al.
Published: (2025)
Consistency of Large Reasoning Models Under Multi-Turn Attacks
by: Li, Yubo, et al.
Published: (2026)
by: Li, Yubo, et al.
Published: (2026)
Multi-Agent Reasoning with Consistency Verification Improves Uncertainty Calibration in Medical MCQA
by: Martinez, John Ray B.
Published: (2026)
by: Martinez, John Ray B.
Published: (2026)
Calibrating Language Models with Adaptive Temperature Scaling
by: Xie, Johnathan, et al.
Published: (2024)
by: Xie, Johnathan, et al.
Published: (2024)
Agentic Reasoning for Large Language Models
by: Wei, Tianxin, et al.
Published: (2026)
by: Wei, Tianxin, et al.
Published: (2026)
Benchmarking the Capabilities of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviors
by: Syed, Usman, et al.
Published: (2024)
by: Syed, Usman, et al.
Published: (2024)
TabularMath: Understanding Math Reasoning over Tables with Large Language Models
by: Tian, Shi-Yu, et al.
Published: (2025)
by: Tian, Shi-Yu, et al.
Published: (2025)
Double-Calibration: Towards Reliable LLMs via Calibrating Knowledge and Reasoning Confidence
by: Lu, Yuyin, et al.
Published: (2026)
by: Lu, Yuyin, et al.
Published: (2026)
Internal Safety Collapse in Frontier Large Language Models
by: Wu, Yutao, et al.
Published: (2026)
by: Wu, Yutao, et al.
Published: (2026)
MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models
by: Peng, Shuai, et al.
Published: (2024)
by: Peng, Shuai, et al.
Published: (2024)
Robust Search with Uncertainty-Aware Value Models for Language Model Reasoning
by: Yu, Fei, et al.
Published: (2025)
by: Yu, Fei, et al.
Published: (2025)
LC-ERD: Mining Latent Logic for Self-Evolving Reasoning via Consistency-Regulated Reward Decomposition
by: Chen, Yanyu, et al.
Published: (2026)
by: Chen, Yanyu, et al.
Published: (2026)
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
by: Huang, Baizhou, et al.
Published: (2023)
by: Huang, Baizhou, et al.
Published: (2023)
Order Matters in Hallucination: Reasoning Order as Benchmark and Reflexive Prompting for Large-Language-Models
by: Xie, Zikai
Published: (2024)
by: Xie, Zikai
Published: (2024)
Calibrated Language Models Must Hallucinate
by: Kalai, Adam Tauman, et al.
Published: (2023)
by: Kalai, Adam Tauman, et al.
Published: (2023)
Teaching Language Models to Critique via Reinforcement Learning
by: Xie, Zhihui, et al.
Published: (2025)
by: Xie, Zhihui, et al.
Published: (2025)
ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
by: Ni, Jingwei, et al.
Published: (2025)
by: Ni, Jingwei, et al.
Published: (2025)
Similar Items
-
Bridging Internal Probability and Self-Consistency for Effective and Efficient LLM Reasoning
by: Zhou, Zhi, et al.
Published: (2025) -
Self-Consistency Boosts Calibration for Math Reasoning
by: Wang, Ante, et al.
Published: (2024) -
Confidence and Calibration of Activation Oracles for Reliable Interpretation of Language Model Internals
by: Torrielli, Federico, et al.
Published: (2026) -
LENS: Learning Ensemble Confidence from Neural States for Multi-LLM Answer Integration
by: Guo, Jizhou
Published: (2025) -
TInR: Exploring Tool-Internalized Reasoning in Large Language Models
by: Xu, Qiancheng, et al.
Published: (2026)