OpenSparseLLMs / CLIP-MoELinks
CLIP-MoE: Mixture of Experts for CLIP
☆49Updated last year
Alternatives and similar repositories for CLIP-MoE
Users that are interested in CLIP-MoE are comparing it to the libraries listed below
Sorting:
- The official implementation of the paper "MMFuser: Multimodal Multi-Layer Feature Fuser for Fine-Grained Vision-Language Understanding". …☆60Updated last year
- [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention☆54Updated last year
- [ICML 2024] Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning☆50Updated last year
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…☆82Updated 9 months ago
- Adapting LLaMA Decoder to Vision Transformer☆30Updated last year
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆65Updated 5 months ago
- PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"☆38Updated last year
- Code for DeCo: Decoupling token compression from semanchc abstraction in multimodal large language models☆74Updated 4 months ago
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆122Updated 2 months ago
- [NeurIPS 2025 Spotlight] Think or Not Think: A Study of Explicit Thinking in Rule-Based Visual Reinforcement Fine-Tuning☆74Updated 2 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆50Updated last year
- Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)☆86Updated 2 months ago
- [NeurIPS 2024] MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models☆74Updated 7 months ago
- [ICML'25] Kernel-based Unsupervised Embedding Alignment for Enhanced Visual Representation in Vision-language Models☆18Updated 3 months ago
- [MM2024, oral] "Self-Supervised Visual Preference Alignment" https://arxiv.org/abs/2404.10501☆59Updated last year
- [NeurIPS 2025] Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO☆69Updated last month
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆46Updated 11 months ago
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆55Updated last year
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆81Updated last month
- [CVPR 2025] PyTorch implementation of paper "FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training"☆32Updated 5 months ago
- Visual self-questioning for large vision-language assistant.☆45Updated 4 months ago
- Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning☆23Updated last year
- [ECCV 2024] API: Attention Prompting on Image for Large Vision-Language Models☆107Updated last year
- official repo for paper "[CLS] Token Tells Everything Needed for Training-free Efficient MLLMs"☆23Updated 7 months ago
- [NeurIPS 2025] More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models☆73Updated 6 months ago
- Code for ICLR 2025 Paper: Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs☆22Updated 7 months ago
- [ICLR 2025] See What You Are Told: Visual Attention Sink in Large Multimodal Models☆77Updated 9 months ago
- [NeurIPS'24] Official PyTorch Implementation of Seeing the Image: Prioritizing Visual Correlation by Contrastive Alignment☆58Updated last year
- code for Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning☆18Updated last year
- [ICLR2025] γ -MOD: Mixture-of-Depth Adaptation for Multimodal Large Language Models☆40Updated last month