ByungKwanLee / MeteorLinks
[NeurIPS 2024] Official PyTorch implementation code for realizing the technical part of Mamba-based traversal of rationale (Meteor) to improve performance of numerous vision language performances for diverse capabilities.
☆115Updated last year
Alternatives and similar repositories for Meteor
Users that are interested in Meteor are comparing it to the libraries listed below
Sorting:
- [EMNLP 2024] Official PyTorch implementation code for realizing the technical part of Traversal of Layers (TroL) presenting new propagati…☆97Updated last year
- 【NeurIPS 2024】Dense Connector for MLLMs☆171Updated 9 months ago
- [NeurIPS 2024] MoVA: Adapting Mixture of Vision Experts to Multimodal Context☆165Updated 10 months ago
- Official implementation of the Law of Vision Representation in MLLMs☆163Updated 8 months ago
- [CVPR'2025] VoCo-LLaMA: This repo is the official implementation of "VoCo-LLaMA: Towards Vision Compression with Large Language Models".☆180Updated last month
- LongLLaVA: Scaling Multi-modal LLMs to 1000 Images Efficiently via Hybrid Architecture☆209Updated 7 months ago
- Matryoshka Multimodal Models☆112Updated 6 months ago
- ☆69Updated last year
- Official implementation of our paper "Finetuned Multimodal Language Models are High-Quality Image-Text Data Filters".☆63Updated 3 months ago
- ☆119Updated last year
- [TMLR] Public code repo for paper "A Single Transformer for Scalable Vision-Language Modeling"☆145Updated 8 months ago
- ✨✨Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models☆160Updated 7 months ago
- LLaVA-MORE: A Comparative Study of LLMs and Visual Backbones for Enhanced Visual Instruction Tuning☆145Updated last week
- [ICLR2025] LLaVA-HR: High-Resolution Large Language-Vision Assistant☆238Updated 11 months ago
- [CVPR2024] ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts☆328Updated last year
- ☆85Updated 7 months ago
- ☆66Updated last year
- CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts☆152Updated last year
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆91Updated last year
- Official code for Paper "Mantis: Multi-Image Instruction Tuning" [TMLR 2024]☆223Updated 4 months ago
- ACL'24 (Oral) Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback☆72Updated 10 months ago
- Official implementation of "Why are Visually-Grounded Language Models Bad at Image Classification?" (NeurIPS 2024)☆88Updated 9 months ago
- [NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"☆189Updated 10 months ago
- ☆138Updated 10 months ago
- The codebase for our EMNLP24 paper: Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language Mo…☆83Updated 6 months ago
- [ACL 2024 Findings] "TempCompass: Do Video LLMs Really Understand Videos?", Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, …☆120Updated 4 months ago
- VideoHallucer, The first comprehensive benchmark for hallucination detection in large video-language models (LVLMs)☆36Updated 4 months ago
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆65Updated 2 months ago
- Code for "AVG-LLaVA: A Multimodal Large Model with Adaptive Visual Granularity"☆30Updated 9 months ago
- This repo contains evaluation code for the paper "BLINK: Multimodal Large Language Models Can See but Not Perceive". https://arxiv.or…☆133Updated last year