:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Hao, Jinbo, Yang, Kai, Su, Qingzhen, Chen, Yang, Li, Yifan, Jiang, Chao
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	https://arxiv.org/abs/2601.02739
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KDCM: Reducing Hallucination in LLMs through Explicit Reasoning Structures
by: Hao, Jinbo, et al.
Published: (2026)

HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language Models
by: Jiang, Xinyan, et al.
Published: (2025)

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

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

Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
by: Lu, Yifan, et al.
Published: (2025)

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

Mitigating Large Language Model Hallucination with Faithful Finetuning
by: Hu, Minda, et al.
Published: (2024)

Delta -- Contrastive Decoding Mitigates Text Hallucinations in Large Language Models
by: Huang, Cheng Peng, et al.
Published: (2025)

Mitigating Entity-Level Hallucination in Large Language Models
by: Su, Weihang, et al.
Published: (2024)

Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information Flow
by: Bai, Jiaqi, et al.
Published: (2025)

CPR: Mitigating Large Language Model Hallucinations with Curative Prompt Refinement
by: Shim, Jung-Woo, et al.
Published: (2025)

Multi-stage Prompt Refinement for Mitigating Hallucinations in Large Language Models
by: Shim, Jung-Woo, et al.
Published: (2025)

Triggering Hallucinations in LLMs: A Quantitative Study of Prompt-Induced Hallucination in Large Language Models
by: Sato, Makoto
Published: (2025)

SEASON: Mitigating Temporal Hallucination in Video Large Language Models via Self-Diagnostic Contrastive Decoding
by: Wu, Chang-Hsun, et al.
Published: (2025)

Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
by: Xiao, Wenyi, et al.
Published: (2024)

Towards Lightweight Reliability: Using Soft Prompts for Hallucination Mitigation in Large Language Models
by: Siddiqui, S M Tahmid, et al.
Published: (2026)

Hallucination Detection via Internal States and Structured Reasoning Consistency in Large Language Models
by: Song, Yusheng, et al.
Published: (2025)

Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language Models
by: Li, Bin, et al.
Published: (2025)

Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
by: Xu, Xin, et al.
Published: (2026)

Chain-of-Thought Prompting Obscures Hallucination Cues in Large Language Models: An Empirical Evaluation
by: Cheng, Jiahao, et al.
Published: (2025)

Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
by: Fu, Yuhan, et al.
Published: (2024)

Exploring and Mitigating Fawning Hallucinations in Large Language Models
by: Shangguan, Zixuan, et al.
Published: (2025)

An Evolutionary Large Language Model for Hallucination Mitigation
by: Boulesnane, Abdennour, et al.
Published: (2024)

Mitigating Hidden Confounding by Progressive Confounder Imputation via Large Language Models
by: Yang, Hao, et al.
Published: (2025)

Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding
by: Xu, Derong, et al.
Published: (2024)

Mitigating Behavioral Hallucination in Multimodal Large Language Models for Sequential Images
by: You, Liangliang, et al.
Published: (2025)

Mitigating Object Hallucination via Robust Local Perception Search
by: Gao, Zixian, et al.
Published: (2025)

Mitigating Overthinking in Large Reasoning Language Models via Reasoning Path Deviation Monitoring
by: Guan, Weixin, et al.
Published: (2026)

Truth-Aware Context Selection: Mitigating Hallucinations of Large Language Models Being Misled by Untruthful Contexts
by: Yu, Tian, et al.
Published: (2024)

Order Matters in Hallucination: Reasoning Order as Benchmark and Reflexive Prompting for Large-Language-Models
by: Xie, Zikai
Published: (2024)

Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval
by: Niu, Mengjia, et al.
Published: (2024)

Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
by: Woo, Sangmin, et al.
Published: (2025)

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

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

Multilingual OCR-Aware Fine-Tuning and Prompt-Guided Chain-of-Thought Reasoning for Multimodal Large Language Models
by: Xu, Qinwu, et al.
Published: (2026)

Mitigating Hallucination in Large Language Models (LLMs): An Application-Oriented Survey on RAG, Reasoning, and Agentic Systems
by: Li, Yihan, et al.
Published: (2025)

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

Copy-Paste to Mitigate Large Language Model Hallucinations
by: Long, Yongchao, et al.
Published: (2025)

Theoretical Foundations and Mitigation of Hallucination in Large Language Models
by: Gumaan, Esmail
Published: (2025)

Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting
by: Liu, Siyi, et al.
Published: (2024)