BAAI-DCAI / DataOptimLinks
A collection of visual instruction tuning datasets.
☆76Updated last year
Alternatives and similar repositories for DataOptim
Users that are interested in DataOptim are comparing it to the libraries listed below
Sorting:
- SVIT: Scaling up Visual Instruction Tuning☆166Updated last year
- ☆133Updated 2 years ago
- ☆92Updated 2 years ago
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆100Updated 2 years ago
- 【NeurIPS 2024】Dense Connector for MLLMs☆180Updated last year
- Harnessing 1.4M GPT4V-synthesized Data for A Lite Vision-Language Model☆281Updated last year
- The official GitHub page for ''What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Ins…☆19Updated 2 years ago
- [ICLR'24] Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning☆296Updated last year
- Official repository of MMDU dataset☆103Updated last year
- ✨✨ [ICLR 2025] MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?☆151Updated 3 months ago
- Dataset pruning for ImageNet and LAION-2B.☆79Updated last year
- ☆101Updated 2 years ago
- [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment☆58Updated last year
- [NeurIPS 2024] Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning☆72Updated last year
- [ICML 2024] | MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI☆116Updated last year
- ☆155Updated last year
- [CVPR 2024] LION: Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge☆153Updated 5 months ago
- ☆124Updated last year
- ☆82Updated last year
- LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning☆75Updated 8 months ago
- Official code for "What Makes for Good Visual Tokenizers for Large Language Models?".☆58Updated 2 years ago
- [NeurIPS 2024] Needle In A Multimodal Haystack (MM-NIAH): A comprehensive benchmark designed to systematically evaluate the capability of…☆123Updated last year
- [SCIS 2024] The official implementation of the paper "MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Di…☆62Updated last year
- Pink: Unveiling the Power of Referential Comprehension for Multi-modal LLMs☆98Updated last year
- [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model☆47Updated last year
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆105Updated 5 months ago
- ☆66Updated 2 years ago
- [NeurIPS 2024] MoVA: Adapting Mixture of Vision Experts to Multimodal Context☆173Updated last year
- DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception☆159Updated last year
- ☆25Updated last year