Cover Image

Aligning with Your Own Voice: Self-Corrected Preference Learning for Hallucination Mitigation in LVLMs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lim, Byeonggeuk, Yun, JungMin, Kwon, Junehyoung, Kim, Kyeonghyun, Kim, YoungBin
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VG-CoT: Towards Trustworthy Visual Reasoning via Grounded Chain-of-Thought
by: Lim, Byeonggeuk, et al.
Published: (2026)

Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks
by: Kwon, JuneHyoung, et al.
Published: (2026)

VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks
by: Choi, Juhwan, et al.
Published: (2024)

Erase Persona, Forget Lore: Benchmarking Multimodal Copyright Unlearning in Large Vision Language Models
by: Kwon, JuneHyoung, et al.
Published: (2026)

Query, Decompose, Compress: Structured Query Expansion for Efficient Multi-Hop Retrieval
by: Yun, JungMin, et al.
Published: (2026)

Position on LLM-Assisted Peer Review: Addressing Reviewer Gap through Mentoring and Feedback
by: Yun, JungMin, et al.
Published: (2026)

Beyond Single-User Dialogue: Assessing Multi-User Dialogue State Tracking Capabilities of Large Language Models
by: Song, Sangmin, et al.
Published: (2025)

Medal Matters: Probing LLMs' Failure Cases Through Olympic Rankings
by: Choi, Juhwan, et al.
Published: (2024)

UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation
by: Choi, Juhwan, et al.
Published: (2024)

SUMMPILOT: Bridging Efficiency and Customization for Interactive Summarization System
by: Yun, JungMin, et al.
Published: (2026)

Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation
by: Kwon, JuneHyoung, et al.
Published: (2024)

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
by: Kim, Kyeonghyun, et al.
Published: (2025)

Colorful Cutout: Enhancing Image Data Augmentation with Curriculum Learning
by: Choi, Juhwan, et al.
Published: (2024)

Adverb Is the Key: Simple Text Data Augmentation with Adverb Deletion
by: Choi, Juhwan, et al.
Published: (2024)

Attention-space Contrastive Guidance for Efficient Hallucination Mitigation in LVLMs
by: Jo, Yujin, et al.
Published: (2026)

Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation
by: Choi, Juhwan, et al.
Published: (2024)

Mitigating Object Hallucinations in LVLMs via Attention Imbalance Rectification
by: Sun, Han, et al.
Published: (2026)

Rank-O-ToM: Unlocking Emotional Nuance Ranking to Enhance Affective Theory-of-Mind
by: Kim, JiHyun, et al.
Published: (2025)

Beyond Learning: A Training-Free Alternative to Model Adaptation
by: Yoon, Namkyung, et al.
Published: (2026)

MRFD: Multi-Region Fusion Decoding with Self-Consistency for Mitigating Hallucinations in LVLMs
by: Ge, Haonan, et al.
Published: (2025)

Optimizing LVLMs with On-Policy Data for Effective Hallucination Mitigation
by: Yu, Chengzhi, et al.
Published: (2025)

Identify, Isolate, and Purge: Mitigating Hallucinations in LVLMs via Self-Evolving Distillation
by: Li, Wenhao, et al.
Published: (2025)

GPTs Are Multilingual Annotators for Sequence Generation Tasks
by: Choi, Juhwan, et al.
Published: (2024)

Steering LVLMs via Sparse Autoencoder for Hallucination Mitigation
by: Hua, Zhenglin, et al.
Published: (2025)

Countering the Over-Reliance Trap: Mitigating Object Hallucination for LVLMs via a Self-Validation Framework
by: Liu, Shiyu, et al.
Published: (2026)

ChartCap: Mitigating Hallucination of Dense Chart Captioning
by: Lim, Junyoung, et al.
Published: (2025)

See-Saw Modality Balance: See Gradient, and Sew Impaired Vision-Language Balance to Mitigate Dominant Modality Bias
by: Kwon, JuneHyoung, et al.
Published: (2025)

Finding the Correct Visual Evidence Without Forgetting: Mitigating Hallucination in LVLMs via Inter-Layer Visual Attention Discrepancy
by: Xie, Yutong, et al.
Published: (2026)

MHSA: A Lightweight Framework for Mitigating Hallucinations via Steered Attention in LVLMs
by: Ding, Wei, et al.
Published: (2026)

Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs
by: Yu, Liu, et al.
Published: (2025)

CATCH: Complementary Adaptive Token-level Contrastive Decoding to Mitigate Hallucinations in LVLMs
by: Kan, Zhehan, et al.
Published: (2024)

KD-EKF: Knowledge-Distilled Adaptive Covariance EKF for Robust UWB/PDR Indoor Localization
by: Yoo, Kyeonghyun, et al.
Published: (2026)

TARAC: Mitigating Hallucination in LVLMs via Temporal Attention Real-time Accumulative Connection
by: Jiang, Lei, et al.
Published: (2025)

Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding
by: Min, Kyungmin, et al.
Published: (2024)

Reasoning Matters: Mitigate Hallucination in Multimodal Large Reasoning Models via Reasoning-Conditioned Preference Optimization
by: Kong, Jiawei, et al.
Published: (2026)

Learning to Build by Building Your Own Instructions
by: Walsman, Aaron, et al.
Published: (2024)

Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
by: Zhao, Zhiyuan, et al.
Published: (2023)

Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD)
by: Manevich, Avshalom, et al.
Published: (2024)

Geometry-Correct Diffusion Posterior Sampling with Denoiser-Pullback Curvature Guidance and Manifold-Aligned Damping
by: Shin, Seunghyeok, et al.
Published: (2026)

Do LLMs Need Inherent Reasoning Before Reinforcement Learning? A Study in Korean Self-Correction
by: Kim, Hongjin, et al.
Published: (2026)