ExplainableML / sae-for-vlmLinks
[NeurIPS 2025] Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
☆42Updated 7 months ago
Alternatives and similar repositories for sae-for-vlm
Users that are interested in sae-for-vlm are comparing it to the libraries listed below
Sorting:
- XL-VLMs: General Repository for eXplainable Large Vision Language Models☆44Updated 2 months ago
- Do Vision and Language Models Share Concepts? A Vector Space Alignment Study☆16Updated 11 months ago
- [ICLR '25] Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations"☆92Updated 5 months ago
- Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."☆48Updated last year
- Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"☆40Updated last year
- ☆70Updated last year
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering☆88Updated 11 months ago
- Official implementation of "Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation" (CVPR 202…☆39Updated 5 months ago
- Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]☆60Updated 11 months ago
- If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions☆17Updated last year
- Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images☆16Updated 5 months ago
- ☆32Updated 6 months ago
- Official code implementation for the paper "Do Vision & Language Decoders use Images and Text equally? How Self-consistent are their Expl…☆12Updated 7 months ago
- Official Repo for FoodieQA paper (EMNLP 2024)☆16Updated 4 months ago
- ☆44Updated last year
- Preference Learning for LLaVA☆54Updated last year
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆80Updated 3 weeks ago
- ☆107Updated 7 months ago
- [ACL2025] Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models☆78Updated 5 months ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆70Updated last year
- Holistic evaluation of multimodal foundation models☆47Updated last year
- Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)☆81Updated last month
- source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"☆61Updated 7 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆88Updated last year
- [NeurIPS 2025] Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO☆60Updated 3 weeks ago
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆65Updated 5 months ago
- [ICCV 2025] Auto Interpretation Pipeline and many other functionalities for Multimodal SAE Analysis.☆161Updated last month
- ☆57Updated 3 months ago
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆40Updated last year
- (ICLR 2025 Spotlight) DEEM: Official implementation of Diffusion models serve as the eyes of large language models for image perception.☆44Updated 4 months ago