DoubtedSteam / RoELinks
The official implement of "Routing Experts: Learning to Route Dynamic Experts in Existing Multi-modal Large Language Models"
☆17Updated 7 months ago
Alternatives and similar repositories for RoE
Users that are interested in RoE are comparing it to the libraries listed below
Sorting:
- Code for ICLR 2025 Paper: Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs☆21Updated 5 months ago
- [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention☆50Updated last year
- [ICLR 2025] See What You Are Told: Visual Attention Sink in Large Multimodal Models☆65Updated 8 months ago
- [ICLR 2025] Code for Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models☆21Updated 6 months ago
- Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs☆28Updated last month
- [CVPR 2025] Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Att…☆48Updated 3 weeks ago
- Official pytorch implementation of "RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in Large Vision Language…☆13Updated 10 months ago
- [CVPR 2025] VASparse: Towards Efficient Visual Hallucination Mitigation via Visual-Aware Token Sparsification☆39Updated 7 months ago
- PyTorch Implementation of "Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Larg…☆31Updated 5 months ago
- [NeurIPS 2024] Official PyTorch implementation of LoTLIP: Improving Language-Image Pre-training for Long Text Understanding☆45Updated 9 months ago
- Rui Qian, Xin Yin, Dejing Dou†: Reasoning to Attend: Try to Understand How <SEG> Token Works (CVPR 2025)☆45Updated 3 weeks ago
- [ICCV 2025] ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models☆41Updated 3 months ago
- Official code repo for our work "Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models"☆50Updated 4 months ago
- 🚀 Video Compression Commander: Plug-and-Play Inference Acceleration for Video Large Language Models☆36Updated last week
- [CVPR 2025] DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models☆81Updated last month
- Hyperbolic Safety-Aware Vision-Language Models. CVPR 2025☆25Updated 6 months ago
- [NeurIPS 2024] Mitigating Object Hallucination via Concentric Causal Attention☆63Updated 2 months ago
- [ECCV 2024] API: Attention Prompting on Image for Large Vision-Language Models☆105Updated last year
- Code for paper: Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection☆44Updated 7 months ago
- [ICCV25 Oral] Token Activation Map to Visually Explain Multimodal LLMs☆107Updated 2 months ago
- [NIPS 2025 DB Oral] Official Repository of paper: Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing☆113Updated 2 weeks ago
- [NeurIPS2024] Repo for the paper `ControlMLLM: Training-Free Visual Prompt Learning for Multimodal Large Language Models'☆195Updated 3 months ago
- [CVPR 2025] RAP: Retrieval-Augmented Personalization☆72Updated 3 months ago
- EMMA [TMLR 2025]☆12Updated last month
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆118Updated last month
- [CVPR 2025] PACT: Pruning and Clustering-Based Token Reduction for Faster Visual Language Models☆49Updated last month
- [ECCV2024] Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models☆19Updated last year
- PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"☆37Updated last year
- ☆22Updated 6 months ago
- [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models☆54Updated last year