isekai-portal / Link-Context-LearningLinks
☆100Updated last year
Alternatives and similar repositories for Link-Context-Learning
Users that are interested in Link-Context-Learning are comparing it to the libraries listed below
Sorting:
- Official repo for StableLLAVA☆94Updated last year
- [NeurIPS2023] Official implementation of the paper "Large Language Models are Visual Reasoning Coordinators"☆103Updated 2 years ago
- ACL'24 (Oral) Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback☆76Updated last year
- Official code for "What Makes for Good Visual Tokenizers for Large Language Models?".☆58Updated 2 years ago
- Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)☆91Updated last year
- FreeVA: Offline MLLM as Training-Free Video Assistant☆65Updated last year
- [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment☆57Updated last year
- [NeurIPS 2024] MoVA: Adapting Mixture of Vision Experts to Multimodal Context☆168Updated last year
- [ECCV2024] Official code implementation of Merlin: Empowering Multimodal LLMs with Foresight Minds☆95Updated last year
- ☆139Updated last year
- Visual self-questioning for large vision-language assistant.☆45Updated 3 months ago
- [ICLR2025] Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want☆91Updated 5 months ago
- VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)☆38Updated 3 weeks ago
- [CVPR 2024] Prompt Highlighter: Interactive Control for Multi-Modal LLMs☆155Updated last year
- ☆58Updated last year
- VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation☆86Updated last year
- [TMLR] Public code repo for paper "A Single Transformer for Scalable Vision-Language Modeling"☆148Updated last year
- ☆133Updated last year
- [ICLR2025] MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models☆89Updated last year
- ☆91Updated last year
- A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models!☆135Updated last year
- ☆69Updated last year
- FunQA benchmarks funny, creative, and magic videos for challenging tasks including timestamp localization, video description, reasoning, …☆104Updated 11 months ago
- LLaVA-NeXT-Image-Llama3-Lora, Modified from https://github.com/arielnlee/LLaVA-1.6-ft☆45Updated last year
- [ACL 2024 Findings] "TempCompass: Do Video LLMs Really Understand Videos?", Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, …☆125Updated 7 months ago
- ☆43Updated last year
- [NeurIPS 2024] Efficient Large Multi-modal Models via Visual Context Compression☆61Updated 9 months ago
- Official implement of MIA-DPO☆67Updated 9 months ago
- [ECCV 2024] ControlCap: Controllable Region-level Captioning☆79Updated last year
- Emergent Visual Grounding in Large Multimodal Models Without Grounding Supervision☆41Updated last month