Thank you for curating this fantastic survey repository!
Please consider adding our recent work to the list. We are happy to contribute!
RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in LVLMs
[Paper | Code | Project]
In this work, we propose RITUAL, a straightforward, training-free method to enhance robustness against hallucinations in Large Vision-Language Models (LVLMs). RITUAL employs random image transformations to complement the original probability distribution, aiming to reduce the likelihood of hallucinatory visual explanations by exposing the model to a diverse range of visual scenarios.
Hi @sangminwoo ,
Thanks for your interests in this repo.
The paper has been added to the Hallucination Mitigation section according to its release date. Very interesting work!
Hi @JosephPai,
Thank you for curating this fantastic survey repository! Please consider adding our recent work to the list. We are happy to contribute!
RITUAL: Random Image Transformations as a Universal Anti-hallucination Lever in LVLMs [Paper | Code | Project]
In this work, we propose RITUAL, a straightforward, training-free method to enhance robustness against hallucinations in Large Vision-Language Models (LVLMs). RITUAL employs random image transformations to complement the original probability distribution, aiming to reduce the likelihood of hallucinatory visual explanations by exposing the model to a diverse range of visual scenarios.
Thank you!