kigb / DropoutDecodingLinks
[NeurIPS 2025] Official Implementation for "Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout Decoding"
☆22Updated 11 months ago
Alternatives and similar repositories for DropoutDecoding
Users that are interested in DropoutDecoding are comparing it to the libraries listed below
Sorting:
- Do Vision and Language Models Share Concepts? A Vector Space Alignment Study☆16Updated last year
- Official PyTorch implementation of RACRO (https://www.arxiv.org/abs/2506.04559)☆19Updated 4 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆80Updated last month
- [NeurIPS'25] The official code of "PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning"☆25Updated 2 months ago
- Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images☆16Updated 5 months ago
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆65Updated 5 months ago
- WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs☆33Updated last week
- ☆22Updated 6 months ago
- HallE-Control: Controlling Object Hallucination in LMMs☆31Updated last year
- Less is More: Mitigating Multimodal Hallucination from an EOS Decision Perspective (ACL 2024)☆55Updated last year
- Official implementation of "Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation" (CVPR 202…☆39Updated 6 months ago
- Code for DeCo: Decoupling token compression from semanchc abstraction in multimodal large language models☆74Updated 4 months ago
- [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model☆48Updated last year
- [NeurIPS 2025] Unsupervised Post-Training for Multi-Modal LLM Reasoning via GRPO☆65Updated last month
- [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention☆50Updated last year
- Code and data for ACL 2024 paper on 'Cross-Modal Projection in Multimodal LLMs Doesn't Really Project Visual Attributes to Textual Space'☆16Updated last year
- This repo contains evaluation code for the paper "AV-Odyssey: Can Your Multimodal LLMs Really Understand Audio-Visual Information?"☆30Updated 11 months ago
- [ICLR '25] Official Pytorch implementation of "Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations"☆92Updated 6 months ago
- Github repository for "Bring Reason to Vision: Understanding Perception and Reasoning through Model Merging" (ICML 2025)☆82Updated 2 months ago
- This repository contains the code of our paper 'Skip \n: A simple method to reduce hallucination in Large Vision-Language Models'.☆14Updated last year
- Github repository for "Why Is Spatial Reasoning Hard for VLMs? An Attention Mechanism Perspective on Focus Areas" (ICML 2025)☆61Updated 6 months ago
- code for Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning☆18Updated last year
- Code for Reducing Hallucinations in Vision-Language Models via Latent Space Steering☆90Updated last year
- [NeurIPS 2025] Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models☆43Updated 7 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆89Updated last year
- ☆46Updated 10 months ago
- The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?☆41Updated last year
- [ICCV 2025] ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models☆41Updated 4 months ago
- CLIP-MoE: Mixture of Experts for CLIP☆49Updated last year
- [NeurIPS 2025] More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models☆69Updated 5 months ago