Systematic Reward Gap Optimization for Mitigating VLM Hallucinations
Fuente:
arXiv
Guardado en:
| Autores principales: | He, Lehan, Chen, Zeren, Shi, Zhelun, Yu, Tianyu, Shao, Jing, Sheng, Lu |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents
por: Chen, Zeren, et al.
Publicado: (2024)
por: Chen, Zeren, et al.
Publicado: (2024)
Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
por: Chen, Zeren, et al.
Publicado: (2023)
por: Chen, Zeren, et al.
Publicado: (2023)
IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks
por: Lu, Xiaoya, et al.
Publicado: (2025)
por: Lu, Xiaoya, et al.
Publicado: (2025)
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
por: Xiao, Wenyi, et al.
Publicado: (2024)
por: Xiao, Wenyi, et al.
Publicado: (2024)
Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization
por: Deng, Haolin, et al.
Publicado: (2026)
por: Deng, Haolin, et al.
Publicado: (2026)
Mitigating Hallucinations in Large Vision-Language Models by Self-Injecting Hallucinations
por: Lu, Yifan, et al.
Publicado: (2025)
por: Lu, Yifan, et al.
Publicado: (2025)
Mitigating Object Hallucination via Concentric Causal Attention
por: Xing, Yun, et al.
Publicado: (2024)
por: Xing, Yun, et al.
Publicado: (2024)
HomeGuard: VLM-based Embodied Safeguard for Identifying Contextual Risk in Household Task
por: Lu, Xiaoya, et al.
Publicado: (2026)
por: Lu, Xiaoya, et al.
Publicado: (2026)
Mitigating Multimodal Hallucination via Phase-wise Self-reward
por: Zhang, Yu, et al.
Publicado: (2026)
por: Zhang, Yu, et al.
Publicado: (2026)
OViP: Online Vision-Language Preference Learning for VLM Hallucination
por: Liu, Shujun, et al.
Publicado: (2025)
por: Liu, Shujun, et al.
Publicado: (2025)
A Unified Hallucination Mitigation Framework for Large Vision-Language Models
por: Chang, Yue, et al.
Publicado: (2024)
por: Chang, Yue, et al.
Publicado: (2024)
Mitigating Object Hallucination via Robust Local Perception Search
por: Gao, Zixian, et al.
Publicado: (2025)
por: Gao, Zixian, et al.
Publicado: (2025)
Geometrically-Constrained Agent for Spatial Reasoning
por: Chen, Zeren, et al.
Publicado: (2025)
por: Chen, Zeren, et al.
Publicado: (2025)
VLLaVO: Mitigating Visual Gap through LLMs
por: Chen, Shuhao, et al.
Publicado: (2024)
por: Chen, Shuhao, et al.
Publicado: (2024)
Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization
por: Zhao, Zhiyuan, et al.
Publicado: (2023)
por: Zhao, Zhiyuan, et al.
Publicado: (2023)
EnsemHalDet: Robust VLM Hallucination Detection via Ensemble of Internal State Detectors
por: Miyazato, Ryuhei, et al.
Publicado: (2026)
por: Miyazato, Ryuhei, et al.
Publicado: (2026)
Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language Models
por: Li, Bin, et al.
Publicado: (2025)
por: Li, Bin, et al.
Publicado: (2025)
Token Preference Optimization with Self-Calibrated Visual-Anchored Rewards for Hallucination Mitigation
por: Gu, Jihao, et al.
Publicado: (2024)
por: Gu, Jihao, et al.
Publicado: (2024)
Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization
por: Wu, Jiulong, et al.
Publicado: (2025)
por: Wu, Jiulong, et al.
Publicado: (2025)
URPO: A Unified Reward & Policy Optimization Framework for Large Language Models
por: Lu, Songshuo, et al.
Publicado: (2025)
por: Lu, Songshuo, et al.
Publicado: (2025)
Analyzing and Mitigating Object Hallucination: A Training Bias Perspective
por: Li, Yifan, et al.
Publicado: (2025)
por: Li, Yifan, et al.
Publicado: (2025)
Mitigating Multimodal Hallucinations via Gradient-based Self-Reflection
por: Wang, Shan, et al.
Publicado: (2025)
por: Wang, Shan, et al.
Publicado: (2025)
Watch Closely: Mitigating Object Hallucinations in Large Vision-Language Models with Disentangled Decoding
por: Ma, Ruiqi, et al.
Publicado: (2025)
por: Ma, Ruiqi, et al.
Publicado: (2025)
Do Vision Encoders Truly Explain Object Hallucination?: Mitigating Object Hallucination via Simple Fine-Grained CLIPScore
por: Oh, Hongseok, et al.
Publicado: (2025)
por: Oh, Hongseok, et al.
Publicado: (2025)
Mitigating Hallucinations in Multimodal Spatial Relations through Constraint-Aware Prompting
por: Wu, Jiarui, et al.
Publicado: (2025)
por: Wu, Jiarui, et al.
Publicado: (2025)
Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective
por: Yue, Zihao, et al.
Publicado: (2024)
por: Yue, Zihao, et al.
Publicado: (2024)
ESREAL: Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models
por: Kim, Minchan, et al.
Publicado: (2024)
por: Kim, Minchan, et al.
Publicado: (2024)
Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision
por: Lee, Seongyun, et al.
Publicado: (2023)
por: Lee, Seongyun, et al.
Publicado: (2023)
VLM-FO1: Bridging the Gap Between High-Level Reasoning and Fine-Grained Perception in VLMs
por: Liu, Peng, et al.
Publicado: (2025)
por: Liu, Peng, et al.
Publicado: (2025)
Mitigating Multilingual Hallucination in Large Vision-Language Models
por: Qu, Xiaoye, et al.
Publicado: (2024)
por: Qu, Xiaoye, et al.
Publicado: (2024)
Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
por: Fu, Yuhan, et al.
Publicado: (2024)
por: Fu, Yuhan, et al.
Publicado: (2024)
Generalizable Entity Grounding via Assistance of Large Language Model
por: Qi, Lu, et al.
Publicado: (2024)
por: Qi, Lu, et al.
Publicado: (2024)
Praxis-VLM: Vision-Grounded Decision Making via Text-Driven Reinforcement Learning
por: Hu, Zhe, et al.
Publicado: (2025)
por: Hu, Zhe, et al.
Publicado: (2025)
EFUF: Efficient Fine-grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models
por: Xing, Shangyu, et al.
Publicado: (2024)
por: Xing, Shangyu, et al.
Publicado: (2024)
Modality Bias in LVLMs: Analyzing and Mitigating Object Hallucination via Attention Lens
por: Zheng, Haohan, et al.
Publicado: (2025)
por: Zheng, Haohan, et al.
Publicado: (2025)
Towards Mitigating Hallucinations in Large Vision-Language Models by Refining Textual Embeddings
por: Agrawal, Aakriti, et al.
Publicado: (2025)
por: Agrawal, Aakriti, et al.
Publicado: (2025)
Mask What Matters: Mitigating Object Hallucinations in Multimodal Large Language Models with Object-Aligned Visual Contrastive Decoding
por: Chen, Boqi, et al.
Publicado: (2026)
por: Chen, Boqi, et al.
Publicado: (2026)
Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization
por: Compagnoni, Alberto, et al.
Publicado: (2025)
por: Compagnoni, Alberto, et al.
Publicado: (2025)
HELPD: Mitigating Hallucination of LVLMs by Hierarchical Feedback Learning with Vision-enhanced Penalty Decoding
por: Yuan, Fan, et al.
Publicado: (2024)
por: Yuan, Fan, et al.
Publicado: (2024)
PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language Model
por: Arif, Kazi Hasan Ibn, et al.
Publicado: (2025)
por: Arif, Kazi Hasan Ibn, et al.
Publicado: (2025)
Ejemplares similares
-
RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents
por: Chen, Zeren, et al.
Publicado: (2024) -
Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
por: Chen, Zeren, et al.
Publicado: (2023) -
IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks
por: Lu, Xiaoya, et al.
Publicado: (2025) -
Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback
por: Xiao, Wenyi, et al.
Publicado: (2024) -
Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization
por: Deng, Haolin, et al.
Publicado: (2026)