JinXins / Awesome-Token-Merge-for-MLLMs
A paper list about Token Merge, Reduce, Resample, Drop for MLLMs.
☆50Updated 3 months ago
Alternatives and similar repositories for Awesome-Token-Merge-for-MLLMs:
Users that are interested in Awesome-Token-Merge-for-MLLMs are comparing it to the libraries listed below
- LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models☆126Updated 11 months ago
- Code release for VTW (AAAI 2025) Oral☆34Updated 3 months ago
- Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference".☆93Updated last month
- ☆80Updated last month
- (CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction☆89Updated last month
- Code for "Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More"☆36Updated 3 weeks ago
- Official code for paper: [CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster.☆70Updated 4 months ago
- ☆42Updated 3 months ago
- The official code implementation of paper "Combining Similarity and Importance for Video Token Reduction on Large Visual Language Models"☆39Updated last week
- [EMNLP 2024 Findings🔥] Official implementation of ": LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context In…☆92Updated 5 months ago
- [CVPR 2025] Adaptive Keyframe Sampling for Long Video Understanding☆56Updated this week
- [ICLR 2025] The official pytorch implement of "Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Cont…☆31Updated 4 months ago
- Official implementation of the Law of Vision Representation in MLLMs☆154Updated 5 months ago
- MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models☆33Updated 2 weeks ago
- [Arxiv 2025] Efficient Reasoning Models: A Survey☆107Updated this week
- ✨✨ [ICLR 2025] MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?☆109Updated last month
- [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment☆57Updated 6 months ago
- A collection of visual instruction tuning datasets.☆76Updated last year
- ☆115Updated 8 months ago
- [NeurIPS 2024] This repo contains evaluation code for the paper "Are We on the Right Way for Evaluating Large Vision-Language Models"☆175Updated 6 months ago
- [AAAI 2025] HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Visio…☆30Updated last week
- ☆73Updated 3 months ago
- ☆99Updated 9 months ago
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆44Updated 3 months ago
- Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model☆27Updated 3 months ago
- [ICLR 2025] LLaVA-MoD: Making LLaVA Tiny via MoE-Knowledge Distillation☆140Updated 3 weeks ago
- A collection of recent token reduction (token pruning, merging, clustering, etc.) techniques for ML/AI☆39Updated last week
- [CVPR 2025] Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training☆35Updated 3 weeks ago
- [ICLR2025] γ -MOD: Mixture-of-Depth Adaptation for Multimodal Large Language Models☆36Updated 2 months ago
- DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models☆40Updated 2 weeks ago