mshukor / xl-vlmsLinks
XL-VLMs: General Repository for eXplainable Large Vision Language Models
☆41Updated 2 months ago
Alternatives and similar repositories for xl-vlms
Users that are interested in xl-vlms are comparing it to the libraries listed below
Sorting:
- ☆70Updated last year
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering☆86Updated 11 months ago
- ☆57Updated 3 months ago
- [ICLR '25] Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations"☆90Updated 5 months ago
- ☆105Updated 7 months ago
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆40Updated last year
- [NeurIPS 2025] More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models☆66Updated 5 months ago
- 🔥 Omni large models and datasets for understanding and generating multi-modalities.☆19Updated last year
- [ICCV 2025] ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models☆41Updated 4 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆80Updated 2 weeks ago
- [NeurIPS 2025] Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models☆42Updated 6 months ago
- [ECCV 2024] API: Attention Prompting on Image for Large Vision-Language Models☆105Updated last year
- [ICLR 2025] MLLM can see? Dynamic Correction Decoding for Hallucination Mitigation☆118Updated last month
- HallE-Control: Controlling Object Hallucination in LMMs☆31Updated last year
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆54Updated last year
- A library of visualization tools for the interpretability and hallucination analysis of large vision-language models (LVLMs).☆41Updated 5 months ago
- [NeurIPS'25] ReAgent-V: A Reward-Driven Multi-Agent Framework for Video Understanding☆41Updated last month
- [ICCV 2025] Auto Interpretation Pipeline and many other functionalities for Multimodal SAE Analysis.☆159Updated last month
- Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)☆80Updated last month
- This repo contains the code for the paper "Understanding and Mitigating Hallucinations in Large Vision-Language Models via Modular Attrib…☆27Updated 3 months ago
- Code for DeCo: Decoupling token compression from semanchc abstraction in multimodal large language models☆74Updated 3 months ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆70Updated last year
- [NeurIPS 2024] Mitigating Object Hallucination via Concentric Causal Attention☆63Updated 2 months ago
- Code for ICLR 2025 Paper: Visual Description Grounding Reduces Hallucinations and Boosts Reasoning in LVLMs☆21Updated 6 months ago
- [CVPR 2025] Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Att…☆51Updated last month
- [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention☆50Updated last year
- [CVPR' 25] Interleaved-Modal Chain-of-Thought☆90Updated this week
- Code for paper: Nullu: Mitigating Object Hallucinations in Large Vision-Language Models via HalluSpace Projection☆46Updated 7 months ago
- AdaMoLE: Adaptive Mixture of LoRA Experts☆37Updated last year
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆88Updated last year