yfzhang114 / LLaVA-Align
This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strategy.
☆72Updated 7 months ago
Related projects ⓘ
Alternatives and complementary repositories for LLaVA-Align
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆43Updated 5 months ago
- [EMNLP'23] The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''☆73Updated 7 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆41Updated 4 months ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆59Updated 5 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆73Updated 6 months ago
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆66Updated 9 months ago
- Dataset pruning for ImageNet and LAION-2B.☆69Updated 4 months ago
- ☆85Updated 11 months ago
- ☆47Updated 4 months ago
- PyTorch Implementation of "Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Larg…☆17Updated 2 months ago
- Instruction Tuning in Continual Learning paradigm☆26Updated 4 months ago
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆33Updated 3 weeks ago
- HallE-Control: Controlling Object Hallucination in LMMs☆28Updated 7 months ago
- ☆24Updated 4 months ago
- MMICL, a state-of-the-art VLM with the in context learning ability from ICL, PKU☆41Updated last year
- Official code for "What Makes for Good Visual Tokenizers for Large Language Models?".☆56Updated last year
- [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment☆50Updated last month
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆135Updated 6 months ago
- Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.☆32Updated last year
- [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model☆25Updated last week
- ☆85Updated 10 months ago
- A collection of visual instruction tuning datasets.☆76Updated 8 months ago
- CLIP-MoE: Mixture of Experts for CLIP☆17Updated last month
- [Neurips'24 Spotlight] Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought …☆135Updated last month
- ☆23Updated 6 months ago
- code for "Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization"☆47Updated 2 months ago
- An benchmark for evaluating the capabilities of large vision-language models (LVLMs)☆33Updated last year
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆32Updated last week
- [ICCV2023] Official code for "VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control"☆53Updated last year
- [ICML 2024] Official implementation for "HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding"☆68Updated 6 months ago