MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models
Paper
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2410.17637
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Published
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35
Multimodal Alignment
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Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization
Paper • 2411.10442 • Published • 87 -
Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning
Paper • 2411.18203 • Published • 40 -
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Paper • 2411.14432 • Published • 25 -
LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment
Paper • 2412.04814 • Published • 46 -
Task Preference Optimization: Improving Multimodal Large Language Models with Vision Task Alignment
Paper • 2412.19326 • Published • 18 -
MLLM-as-a-Judge for Image Safety without Human Labeling
Paper • 2501.00192 • Published • 31 -
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model
Paper • 2501.12368 • Published • 45 -
Temporal Preference Optimization for Long-Form Video Understanding
Paper • 2501.13919 • Published • 23 -
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering
Paper • 2502.03628 • Published • 12 -
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Paper • 2502.10391 • Published • 34 -
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
Paper • 2502.11775 • Published • 9 -
OmniAlign-V: Towards Enhanced Alignment of MLLMs with Human Preference
Paper • 2502.18411 • Published • 74 -
Unified Reward Model for Multimodal Understanding and Generation
Paper • 2503.05236 • Published • 123 -
VisualPRM: An Effective Process Reward Model for Multimodal Reasoning
Paper • 2503.10291 • Published • 36 -
Aligning Multimodal LLM with Human Preference: A Survey
Paper • 2503.14504 • Published • 26 -
Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and Mitigation
Paper • 2503.19622 • Published • 31 -
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Paper • 2504.10479 • Published • 306 -
Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling
Paper • 2504.13169 • Published • 39 -
VistaDPO: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models
Paper • 2504.13122 • Published • 20 -
Self-alignment of Large Video Language Models with Refined Regularized Preference Optimization
Paper • 2504.12083 • Published • 3 -
R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
Paper • 2505.02835 • Published • 28 -
Evaluating and Steering Modality Preferences in Multimodal Large Language Model
Paper • 2505.20977 • Published • 9 -
Fine-Grained Preference Optimization Improves Spatial Reasoning in VLMs
Paper • 2506.21656 • Published • 16 -
InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization
Paper • 2508.05731 • Published • 25 -
Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success
Paper • 2508.04280 • Published • 35 -
Do What? Teaching Vision-Language-Action Models to Reject the Impossible
Paper • 2508.16292 • Published • 9 -
Reconstruction Alignment Improves Unified Multimodal Models
Paper • 2509.07295 • Published • 40 -
Aligning Generative Music AI with Human Preferences: Methods and Challenges
Paper • 2511.15038 • Published • 2 -
Mitigating Object and Action Hallucinations in Multimodal LLMs via Self-Augmented Contrastive Alignment
Paper • 2512.04356 • Published • 9 -
Self-Improving VLM Judges Without Human Annotations
Paper • 2512.05145 • Published • 19 -
ProGuard: Towards Proactive Multimodal Safeguard
Paper • 2512.23573 • Published • 5 -
Factorized Learning for Temporally Grounded Video-Language Models
Paper • 2512.24097 • Published • 6 -
OpenRT: An Open-Source Red Teaming Framework for Multimodal LLMs
Paper • 2601.01592 • Published • 11