[Arxiv] Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
☆94Apr 30, 2024Updated 2 years ago
Alternatives and similar repositories for POVID
Users that are interested in POVID are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2024] Calibrated Self-Rewarding Vision Language Models☆87Oct 26, 2025Updated 10 months ago
- [ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models☆159Apr 30, 2024Updated 2 years ago
- ☆102Dec 22, 2023Updated 2 years ago
- code for "Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization"☆63Aug 23, 2024Updated 2 years ago
- Enhancing Large Vision Language Models with Self-Training on Image Comprehension.☆69May 31, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Beyond Hallucinations: Enhancing LVLMs through Hallucination-Aware Direct Preference Optimization☆104Jan 30, 2024Updated 2 years ago
- [EMNLP 2024] mDPO: Conditional Preference Optimization for Multimodal Large Language Models.☆91Nov 10, 2024Updated last year
- [CVPR'25 highlight] RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness☆460May 14, 2025Updated last year
- [CVPR 2025] Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention☆69Jul 16, 2024Updated 2 years ago
- [CVPR'24] RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback☆311Sep 11, 2024Updated 2 years ago
- We introduce new approach, Token Reduction using CLIP Metric (TRIM), aimed at improving the efficiency of MLLMs without sacrificing their…☆23Jan 11, 2026Updated 8 months ago
- An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation