Cover Image

Hallucination Detection via Internal States and Structured Reasoning Consistency in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Song, Yusheng, Qiu, Lirong, Zhang, Xi, Tang, Zhihao
Format:	Preprint
Published:	2025
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Prompt-Guided Internal States for Hallucination Detection of Large Language Models
by: Zhang, Fujie, et al.
Published: (2024)

Detecting Hallucinations in Large Language Models via Internal Attention Divergence Signals
by: van Dijk, Gijs
Published: (2026)

Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models
by: Wang, Changyue, et al.
Published: (2025)

Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models
by: Su, Weihang, et al.
Published: (2024)

Mitigating Prompt-Induced Hallucinations in Large Language Models via Structured Reasoning
by: Hao, Jinbo, et al.
Published: (2026)

Attention Sinks as Internal Signals for Hallucination Detection in Large Language Models
by: Binkowski, Jakub, et al.
Published: (2026)

Calibrating Reasoning in Language Models with Internal Consistency
by: Xie, Zhihui, et al.
Published: (2024)

NILE: Internal Consistency Alignment in Large Language Models
by: Hu, Minda, et al.
Published: (2024)

Detecting Hallucinations in Retrieval-Augmented Generation via Semantic-level Internal Reasoning Graph
by: Hu, Jianpeng, et al.
Published: (2026)

Internal Consistency and Self-Feedback in Large Language Models: A Survey
by: Liang, Xun, et al.
Published: (2024)

Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models
by: Chen, Yuyan, et al.
Published: (2024)

INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection
by: Chen, Chao, et al.
Published: (2024)

Leveraging Graph Structures to Detect Hallucinations in Large Language Models
by: Nonkes, Noa, et al.
Published: (2024)

Hallucination Detection and Evaluation of Large Language Model
by: Zhang, Chenggong, et al.
Published: (2025)

UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation
by: Liang, Xun, et al.
Published: (2023)

Mitigating Hallucinations in Large Language Models via Causal Reasoning
by: Li, Yuangang, et al.
Published: (2025)

SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency
by: Zhang, Jiaxin, et al.
Published: (2023)

Collaborative Stance Detection via Small-Large Language Model Consistency Verification
by: Yan, Yu, et al.
Published: (2025)

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective
by: Sun, Zhongxiang, et al.
Published: (2025)

PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language Models
by: Zheng, Haoyu, et al.
Published: (2026)

EnsemHalDet: Robust VLM Hallucination Detection via Ensemble of Internal State Detectors
by: Miyazato, Ryuhei, et al.
Published: (2026)

Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering
by: Tang, Xinyu, et al.
Published: (2025)

Hallucination Detection with the Internal Layers of LLMs
by: Preiß, Martin
Published: (2025)

Spatiotemporal Hidden-State Dynamics as a Signature of Internal Reasoning in Large Language Models
by: Furuya, Kotaro, et al.
Published: (2026)

Mitigating Hallucinations in Large Vision-Language Models with Internal Fact-based Contrastive Decoding
by: Wang, Chao, et al.
Published: (2025)

Structured Event Reasoning with Large Language Models
by: Zhang, Li
Published: (2024)

AHA: Aligning Large Audio-Language Models for Reasoning Hallucinations via Counterfactual Hard Negatives
by: Chen, Yanxi, et al.
Published: (2025)

CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization
by: Min, Nay Myat, et al.
Published: (2024)

Addressing Topic Granularity and Hallucination in Large Language Models for Topic Modelling
by: Mu, Yida, et al.
Published: (2024)

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models
by: Li, Chaozhuo, et al.
Published: (2025)

DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models
by: Cui, Wendi, et al.
Published: (2024)

Alleviating Hallucinations of Large Language Models through Induced Hallucinations
by: Zhang, Yue, et al.
Published: (2023)

Principled Detection of Hallucinations in Large Language Models via Multiple Testing
by: Li, Jiawei, et al.
Published: (2025)

Multidimensional Consistency Improves Reasoning in Language Models
by: Lai, Huiyuan, et al.
Published: (2025)

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

Think-with-Rubrics: From External Evaluator to Internal Reasoning Guidance
by: Yu, Jiachen, et al.
Published: (2026)

Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization
by: Tang, Zilu, et al.
Published: (2025)

Evaluating Consistency and Reasoning Capabilities of Large Language Models
by: Saxena, Yash, et al.
Published: (2024)

FG-PRM: Fine-grained Hallucination Detection and Mitigation in Language Model Mathematical Reasoning
by: Li, Ruosen, et al.
Published: (2024)

MeasHalu: Mitigation of Scientific Measurement Hallucinations for Large Language Models with Enhanced Reasoning
by: Huang, Ruijun, et al.
Published: (2026)