SemReward-VL: Semantic Reward-Guided Video-Language Adaptation for Developmental Behavior Assessment
cs.CV, cs.AI
Submitted: 2026-09-27
Updated: 2026-09-27
Terminology
Sources
- MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
- VideoChat: Chat-Centric Video Understanding
- Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models
- Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
- LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models
- Video-LLaVA: Learning United Visual Representation by Alignment Before Projection
- VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
- Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
- InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output
- LLaVA-OneVision: Easy Visual Task Transfer
- TempCompass: Do Video LLMs Really Understand Videos?
- LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day
- Med-Flamingo: a Multimodal Medical Few-shot Learner
- BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs
- Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
- DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
- Qwen2.5-VL Technical Report
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