Papers by Komei Sugiura

1 papers
VELA: An LLM-Hybrid-as-a-Judge Approach for Evaluating Long Image Captions (2025.emnlp-main)

Copied to clipboard

Challenge: Existing evaluation metrics for image captioning are primarily designed for short captions and are not suitable for long captions.
Approach: They propose an automatic evaluation metric for long captions developed within a novel LLM-Hybrid-as-a-Judge framework.
Outcome: The proposed metric outperforms existing metrics and achieves superhuman performance on LongCap-Arena.

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