foundation-multimodal-models / ConBenchLinks
[NeurIPS'24] Official implementation of paper "Unveiling the Tapestry of Consistency in Large Vision-Language Models".
☆38Updated last year
Alternatives and similar repositories for ConBench
Users that are interested in ConBench are comparing it to the libraries listed below
Sorting:
- ☆120Updated last year
- [ICLR'25] Reconstructive Visual Instruction Tuning☆133Updated 9 months ago
- Official repository for CoMM Dataset☆49Updated last year
- [CVPR 2025] DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models☆97Updated 2 months ago
- [ACL 2025] PruneVid: Visual Token Pruning for Efficient Video Large Language Models☆66Updated 8 months ago
- Evaluation code for Ref-L4, a new REC benchmark in the LMM era☆53Updated last year
- [NeurIPS 2024] Visual Perception by Large Language Model’s Weights☆55Updated 9 months ago
- [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment☆59Updated last year
- LLaVA-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models☆160Updated 3 months ago
- The official implementation of 《MLLMs-Augmented Visual-Language Representation Learning》☆31Updated last year
- [CVPR 2025] Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training☆99Updated 6 months ago
- Code for DeCo: Decoupling token compression from semanchc abstraction in multimodal large language models☆77Updated 6 months ago
- Official repository of "CoMP: Continual Multimodal Pre-training for Vision Foundation Models"☆42Updated 9 months ago
- [NeurIPS-24] This is the official implementation of the paper "DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effect…☆77Updated last year
- ☆124Updated last year
- [NeurIPS 2024] Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning☆72Updated 11 months ago
- ☆27Updated 9 months ago
- DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception☆159Updated last year
- [CVPR 2025 Oral] VideoEspresso: A Large-Scale Chain-of-Thought Dataset for Fine-Grained Video Reasoning via Core Frame Selection☆133Updated 5 months ago
- [ICCV 2025] Official code for "AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning"☆54Updated 3 months ago
- [ICLR2025] γ -MOD: Mixture-of-Depth Adaptation for Multimodal Large Language Models☆42Updated 2 months ago
- 【NeurIPS 2024】The official code of paper "Automated Multi-level Preference for MLLMs"☆20Updated last year
- The official implementation of "2024NeurIPS Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation"☆52Updated last year
- ☆32Updated last year
- (CVPR 2025) PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction☆140Updated 10 months ago
- ☆46Updated last year
- [ICML 2024] CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language Transformers☆34Updated last year
- A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models!☆136Updated 2 years ago
- A collection of visual instruction tuning datasets.☆76Updated last year
- [AAAI 2025] HiRED strategically drops visual tokens in the image encoding stage to improve inference efficiency for High-Resolution Visio…☆44Updated 9 months ago