VLRM: Vision-Language Models act as Reward Models for Image Captioning
Fuente:
arXiv
Saved in:
| Main Authors: | Dzabraev, Maksim, Kunitsyn, Alexander, Ivaniuta, Andrei |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mitigating Image Captioning Hallucinations in Vision-Language Models
by: Zhao, Fei, et al.
Published: (2025)
by: Zhao, Fei, et al.
Published: (2025)
From Captions to Rewards (CAREVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models
by: Dai, Muzhi, et al.
Published: (2025)
by: Dai, Muzhi, et al.
Published: (2025)
Fluent and Accurate Image Captioning with a Self-Trained Reward Model
by: Moratelli, Nicholas, et al.
Published: (2024)
by: Moratelli, Nicholas, et al.
Published: (2024)
Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning
by: Lu, Fan, et al.
Published: (2024)
by: Lu, Fan, et al.
Published: (2024)
Beam-Guided Knowledge Replay for Knowledge-Rich Image Captioning using Vision-Language Model
by: AlJunaid, Reem, et al.
Published: (2025)
by: AlJunaid, Reem, et al.
Published: (2025)
Prompt-Based Caption Generation for Single-Tooth Dental Images Using Vision-Language Models
by: Sukhanova, Anastasiia, et al.
Published: (2026)
by: Sukhanova, Anastasiia, et al.
Published: (2026)
Large Language Models for Captioning and Retrieving Remote Sensing Images
by: Silva, João Daniel, et al.
Published: (2024)
by: Silva, João Daniel, et al.
Published: (2024)
Self-Rewarding Large Vision-Language Models for Optimizing Prompts in Text-to-Image Generation
by: Yang, Hongji, et al.
Published: (2025)
by: Yang, Hongji, et al.
Published: (2025)
A Chain-of-Thought Subspace Meta-Learning for Few-shot Image Captioning with Large Vision and Language Models
by: Huang, Hao, et al.
Published: (2025)
by: Huang, Hao, et al.
Published: (2025)
Effectively Enhancing Vision Language Large Models by Prompt Augmentation and Caption Utilization
by: Zhao, Minyi, et al.
Published: (2024)
by: Zhao, Minyi, et al.
Published: (2024)
HyperCap: Hyperspectral Land Cover Captioning Dataset for Vision Language Models
by: Das, Aryan, et al.
Published: (2025)
by: Das, Aryan, et al.
Published: (2025)
SynthVLM: Towards High-Quality and Efficient Synthesis of Image-Caption Datasets for Vision-Language Models
by: Liu, Zheng, et al.
Published: (2024)
by: Liu, Zheng, et al.
Published: (2024)
Linear Alignment of Vision-language Models for Image Captioning
by: Paischer, Fabian, et al.
Published: (2023)
by: Paischer, Fabian, et al.
Published: (2023)
CaptionSmiths: Flexibly Controlling Language Pattern in Image Captioning
by: Saito, Kuniaki, et al.
Published: (2025)
by: Saito, Kuniaki, et al.
Published: (2025)
Self-Rewarding Vision-Language Model via Reasoning Decomposition
by: Li, Zongxia, et al.
Published: (2025)
by: Li, Zongxia, et al.
Published: (2025)
Unifying Vision-Language Latents for Zero-label Image Caption Enhancement
by: Byun, Sanghyun, et al.
Published: (2025)
by: Byun, Sanghyun, et al.
Published: (2025)
BIOMEDICA: An Open Biomedical Image-Caption Archive, Dataset, and Vision-Language Models Derived from Scientific Literature
by: Lozano, Alejandro, et al.
Published: (2025)
by: Lozano, Alejandro, et al.
Published: (2025)
Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models
by: Yasunaga, Michihiro, et al.
Published: (2025)
by: Yasunaga, Michihiro, et al.
Published: (2025)
A Benchmark for Multi-Lingual Vision-Language Learning in Remote Sensing Image Captioning
by: Zhou, Qing, et al.
Published: (2025)
by: Zhou, Qing, et al.
Published: (2025)
CAI: Caption-Sensitive Attention Intervention for Mitigating Object Hallucination in Large Vision-Language Models
by: Li, Qiming, et al.
Published: (2025)
by: Li, Qiming, et al.
Published: (2025)
VLRMBench: A Comprehensive and Challenging Benchmark for Vision-Language Reward Models
by: Ruan, Jiacheng, et al.
Published: (2025)
by: Ruan, Jiacheng, et al.
Published: (2025)
CaptionFool: Universal Image Captioning Model Attacks
by: Parekh, Swapnil
Published: (2026)
by: Parekh, Swapnil
Published: (2026)
VL-RewardBench: A Challenging Benchmark for Vision-Language Generative Reward Models
by: Li, Lei, et al.
Published: (2024)
by: Li, Lei, et al.
Published: (2024)
Visually-Aware Context Modeling for News Image Captioning
by: Qu, Tingyu, et al.
Published: (2023)
by: Qu, Tingyu, et al.
Published: (2023)
"It's trained by non-disabled people": Evaluating How Image Quality Affects Product Captioning with Vision-Language Models
by: Garg, Kapil, et al.
Published: (2025)
by: Garg, Kapil, et al.
Published: (2025)
MicarVLMoE: A Modern Gated Cross-Aligned Vision-Language Mixture of Experts Model for Medical Image Captioning and Report Generation
by: Izhar, Amaan, et al.
Published: (2025)
by: Izhar, Amaan, et al.
Published: (2025)
Unveiling Chain of Step Reasoning for Vision-Language Models with Fine-grained Rewards
by: Chen, Honghao, et al.
Published: (2025)
by: Chen, Honghao, et al.
Published: (2025)
UIT-DarkCow team at ImageCLEFmedical Caption 2024: Diagnostic Captioning for Radiology Images Efficiency with Transformer Models
by: Van Nguyen, Quan, et al.
Published: (2024)
by: Van Nguyen, Quan, et al.
Published: (2024)
Calibrated Self-Rewarding Vision Language Models
by: Zhou, Yiyang, et al.
Published: (2024)
by: Zhou, Yiyang, et al.
Published: (2024)
Unified Personalized Reward Model for Vision Generation
by: Wang, Yibin, et al.
Published: (2026)
by: Wang, Yibin, et al.
Published: (2026)
GEASS: Gated Evidence-Adaptive Selective Caption Trust for Vision-Language Models
by: Li, Zeshang, et al.
Published: (2026)
by: Li, Zeshang, et al.
Published: (2026)
ViLBench: A Suite for Vision-Language Process Reward Modeling
by: Tu, Haoqin, et al.
Published: (2025)
by: Tu, Haoqin, et al.
Published: (2025)
CAST: Mitigating Object Hallucination in Large Vision-Language Models via Caption-Guided Visual Attention Steering
by: Li, Qiming, et al.
Published: (2026)
by: Li, Qiming, et al.
Published: (2026)
Modeling Caption Diversity in Contrastive Vision-Language Pretraining
by: Lavoie, Samuel, et al.
Published: (2024)
by: Lavoie, Samuel, et al.
Published: (2024)
Sieve: Multimodal Dataset Pruning Using Image Captioning Models
by: Mahmoud, Anas, et al.
Published: (2023)
by: Mahmoud, Anas, et al.
Published: (2023)
Vision-Language Models as Differentiable Semantic and Spatial Rewards for Text-to-3D Generation
by: Bai, Weimin, et al.
Published: (2025)
by: Bai, Weimin, et al.
Published: (2025)
Bidirectional Prototype-Reward co-Evolution for Test-Time Adaptation of Vision-Language Models
by: Qiao, Xiaozhen, et al.
Published: (2025)
by: Qiao, Xiaozhen, et al.
Published: (2025)
CCCaption: Dual-Reward Reinforcement Learning for Complete and Correct Image Captioning
by: Tang, Zhijiang, et al.
Published: (2026)
by: Tang, Zhijiang, et al.
Published: (2026)
Image Fusion via Vision-Language Model
by: Zhao, Zixiang, et al.
Published: (2024)
by: Zhao, Zixiang, et al.
Published: (2024)
Vision-Language Model Guided Image Restoration
by: Yang, Cuixin, et al.
Published: (2025)
by: Yang, Cuixin, et al.
Published: (2025)
Similar Items
-
Mitigating Image Captioning Hallucinations in Vision-Language Models
by: Zhao, Fei, et al.
Published: (2025) -
From Captions to Rewards (CAREVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models
by: Dai, Muzhi, et al.
Published: (2025) -
Fluent and Accurate Image Captioning with a Self-Trained Reward Model
by: Moratelli, Nicholas, et al.
Published: (2024) -
Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image Captioning
by: Lu, Fan, et al.
Published: (2024) -
Beam-Guided Knowledge Replay for Knowledge-Rich Image Captioning using Vision-Language Model
by: AlJunaid, Reem, et al.
Published: (2025)