Papers by Hwajung Hong
Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews (2025.emnlp-main)
Copied to clipboard
Hyungyu Shin, Jingyu Tang, Yoonjoo Lee, Nayoung Kim, Hyunseung Lim, Ji Yong Cho, Hwajung Hong, Moontae Lee, Juho Kim
| Challenge: | Large Language Models (LLMs) can automatically draft reviews, but determining whether they are trustworthy requires systematic evaluation. |
| Approach: | They propose an automatic focus-level evaluation pipeline based on two sets of facets . authors evaluated LLM reviews at surface-level or content-level . |
| Outcome: | The proposed framework enables automatic evaluation of paper reviews based on two sets of facets . the framework compared open review paper reviews with human experts on validity, clarity, novelty . |
A Large-Scale Real-World Evaluation of an LLM-Based Virtual Teaching Assistant (2025.acl-industry)
Copied to clipboard
| Challenge: | Empirical studies on their effectiveness and acceptance in real-world classrooms are limited, leaving their practical impact uncertain. |
| Approach: | They develop an LLM-based virtual teaching assistant and deploy it in an introductory AI programming course with 477 graduate students. |
| Outcome: | The proposed system is tested in an introductory AI programming course with 477 graduate students. |