:: Library Catalog

Buchumschlag

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Hao, Jinbo, Yang, Kai, Su, Qingzhen, Chen, Yang, Li, Yifan, Jiang, Chao
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Computation and Language
Online-Zugang:	https://arxiv.org/abs/2601.02739
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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