metadata
license: apache-2.0
datasets:
- helehan/topic-overwrite
language:
- en
Model Card for Model ID
Model Details
The model, trained using the RLHF/RLAIF methods proposed in the TPO paper by llava, has enhanced trustworthiness and reduced hallucinations.
Model Description
- Trained from model: llava-v1.5-7B
- Trained on data: TPO-Dataset
Usage
Please look at GitHub for more details about usage.
Citation
@article{he2024topic,
title={A Topic-level Self-Correctional Approach to Mitigate Hallucinations in MLLMs},
author={He, Lehan and Chen, Zeren and Shi, Zhelun and Yu, Tianyu and Shao, Jing and Sheng, Lu},
journal={arXiv preprint arXiv:2411.17265},
year={2024}
}