Papers by Jaehyun Kang

1 papers
C2: Scalable Auto-Feedback for LLM-based Chart Generation (2025.naacl-long)

Copied to clipboard

Challenge: generating high-quality charts with Large Language Models presents significant challenges due to limited data and the high cost of curation.
Approach: They propose a referencefree automatic feedback generator to generate high-quality charts with Large Language Models.
Outcome: The proposed framework outperforms baselines and shows that it significantly improves data diversity.

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