Han-Zongbo / Skip-nLinks
This repository contains the code of our paper 'Skip \n: A simple method to reduce hallucination in Large Vision-Language Models'.
☆14Updated last year
Alternatives and similar repositories for Skip-n
Users that are interested in Skip-n are comparing it to the libraries listed below
Sorting:
- PyTorch code for "Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training"☆35Updated last year
- [NeurIPS 2024] Official PyTorch implementation of "Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives"☆41Updated 8 months ago
- COLA: Evaluate how well your vision-language model can Compose Objects Localized with Attributes!☆24Updated 9 months ago
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆79Updated last year
- Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning☆22Updated 11 months ago
- HalluciDoctor: Mitigating Hallucinatory Toxicity in Visual Instruction Data (Accepted by CVPR 2024)☆48Updated last year
- [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention☆42Updated last year
- Emerging Pixel Grounding in Large Multimodal Models Without Grounding Supervision☆41Updated 5 months ago
- ☆18Updated last year
- DeepPerception: Advancing R1-like Cognitive Visual Perception in MLLMs for Knowledge-Intensive Visual Grounding☆65Updated 2 months ago
- 【NeurIPS 2024】The official code of paper "Automated Multi-level Preference for MLLMs"☆19Updated 10 months ago
- [ACM Multimedia 2025] This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual…☆81Updated 6 months ago
- We introduce new approach, Token Reduction using CLIP Metric (TRIM), aimed at improving the efficiency of MLLMs without sacrificing their…☆14Updated 8 months ago
- ☆23Updated 2 months ago
- Compress conventional Vision-Language Pre-training data☆51Updated last year
- Official Repository of Personalized Visual Instruct Tuning☆32Updated 5 months ago
- [Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning☆87Updated last year
- ☆19Updated last year
- [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…☆44Updated 8 months ago
- [ACL 2024] Multi-modal preference alignment remedies regression of visual instruction tuning on language model☆46Updated 9 months ago
- [CVPR 2024] Improving language-visual pretraining efficiency by perform cluster-based masking on images.☆29Updated last year
- Official code for "What Makes for Good Visual Tokenizers for Large Language Models?".☆58Updated 2 years ago
- Code for DeCo: Decoupling token compression from semanchc abstraction in multimodal large language models☆66Updated last month
- [ICCV 2023] ViLLA: Fine-grained vision-language representation learning from real-world data☆45Updated last year
- [CVPR 2025] PyTorch implementation of paper "FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training"☆30Updated last month
- [ICML2024] Repo for the paper `Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models'☆21Updated 7 months ago
- An Enhanced CLIP Framework for Learning with Synthetic Captions☆37Updated 4 months ago
- ☆27Updated last year
- [CVPR23 Highlight] CREPE: Can Vision-Language Foundation Models Reason Compositionally?☆33Updated 2 years ago
- VisualGPTScore for visio-linguistic reasoning☆27Updated last year