foundation-multimodal-models / ConBench
[NeurIPS'24] Official implementation of paper "Unveiling the Tapestry of Consistency in Large Vision-Language Models".
☆35Updated 6 months ago
Alternatives and similar repositories for ConBench
Users that are interested in ConBench are comparing it to the libraries listed below
Sorting:
- [ICML'25] Official implementation of paper "SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference".☆103Updated 2 weeks ago
- [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment☆57Updated 7 months ago
- The official repository for paper "PruneVid: Visual Token Pruning for Efficient Video Large Language Models".☆40Updated 3 months ago
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆46Updated 4 months ago
- [ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers.☆32Updated 4 months ago
- [ICLR'25] Reconstructive Visual Instruction Tuning☆83Updated last month
- [ICLR2025] γ -MOD: Mixture-of-Depth Adaptation for Multimodal Large Language Models☆36Updated 3 months ago
- Official code for paper: [CLS] Attention is All You Need for Training-Free Visual Token Pruning: Make VLM Inference Faster.☆75Updated 5 months ago
- (CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction☆97Updated 2 months ago
- A collection of visual instruction tuning datasets.☆76Updated last year
- ☆75Updated 4 months ago
- [ICLR 2025] The official pytorch implement of "Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Cont…☆36Updated 5 months ago
- [CVPR 2025] Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training☆41Updated last month
- PyTorch Implementation of "Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Larg…☆22Updated this week
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆83Updated last year
- DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models☆46Updated last month
- ☆83Updated last month
- VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning☆26Updated last month
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆45Updated 10 months ago
- Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model☆28Updated 4 months ago
- Code release for VTW (AAAI 2025) Oral☆39Updated 4 months ago
- [CVPR 2025] Adaptive Keyframe Sampling for Long Video Understanding☆60Updated 3 weeks ago
- ☆44Updated last week
- Official repository of "CoMP: Continual Multimodal Pre-training for Vision Foundation Models"☆25Updated last month
- Official repository for CoMM Dataset☆33Updated 4 months ago
- [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.☆70Updated last year
- [AAAI 2025] HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Visio…☆33Updated last month
- ☆116Updated 11 months ago
- ☆15Updated 2 months ago
- code for "Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization"☆55Updated 8 months ago