kriskrisliu / PATLinks
[AAAI 2025] PAT: Pruning-Aware Tuning for Large Language Models
☆35Updated 9 months ago
Alternatives and similar repositories for PAT
Users that are interested in PAT are comparing it to the libraries listed below
Sorting:
- ☆60Updated 6 months ago
- Official code for paper: [CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster.☆97Updated 4 months ago
- Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model☆36Updated 10 months ago
- Code release for VTW (AAAI 2025 Oral)☆61Updated 2 weeks ago
- a training-free approach to accelerate ViTs and VLMs by pruning redundant tokens based on similarity☆39Updated 5 months ago
- [EMNLP 2025 Main] Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models☆38Updated last week
- [EMNLP 2025 main 🔥] Code for "Stop Looking for Important Tokens in Multimodal Language Models: Duplication Matters More"☆90Updated last month
- [EMNLP 2024 Findings🔥] Official implementation of ": LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context In…☆104Updated last year
- [AAAI 2026] Global Compression Commander: Plug-and-Play Inference Acceleration for High-Resolution Large Vision-Language Models☆34Updated 2 weeks ago
- [CVPR 2025] DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models☆87Updated last month
- (CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction☆134Updated 8 months ago
- ☆123Updated last year
- [ICCV 2025] Official code for paper: Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs☆50Updated 4 months ago
- [ICLR 2025] The official pytorch implement of "Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Cont…☆62Updated 2 months ago
- [ICML'25] Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference".☆194Updated 5 months ago
- [CVPR 2025] Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training☆92Updated 4 months ago
- LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models☆154Updated last month
- [ICCV 2025] Official implementation of LLaVA-KD: A Framework of Distilling Multimodal Large Language Models☆107Updated last month
- [AAAI 2025] Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback☆28Updated 9 months ago
- [CVPR 2025] PACT: Pruning and Clustering-Based Token Reduction for Faster Visual Language Models☆51Updated last month
- [2025] Efficient Vision Language Models: A Survey☆38Updated 4 months ago
- MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer☆48Updated last year
- [NeurIPS 2025] Official code for paper: Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs.☆67Updated 2 months ago
- [AAAI 2025] HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Visio…☆42Updated 7 months ago
- [NeurIPS 24] MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision Tasks☆132Updated 11 months ago
- A paper list about Token Merge, Reduce, Resample, Drop for MLLMs.☆75Updated 3 weeks ago
- ✨✨ [ICLR 2025] MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?☆142Updated last month
- iLLaVA: An Image is Worth Fewer Than 1/3 Input Tokens in Large Multimodal Models☆19Updated 9 months ago
- [NeurIPS 2025] VeriThinker: Learning to Verify Makes Reasoning Model Efficient☆61Updated last month
- Pruning the VLLMs☆104Updated 11 months ago