Papers with evaluation of object hallucination

1 papers
Evaluating Object Hallucination in Large Vision-Language Models (2023.emnlp-main)

Copied to clipboard

Challenge: Large vision-language models (LVLMs) suffer from object hallucinations, i.e., they tend to generate objects inconsistent with the target images in the descriptions.
Approach: They propose to integrate powerful large vision-language models (LVLMs) they propose a polling-based query method to evaluate object hallucination .
Outcome: The proposed model can evaluate object hallucination in a more stable and flexible way.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations