Papers by Wei-Chih Chen
Large Language Model as an Assignment Evaluator: Insights, Feedback, and Challenges in a 1000+ Student Course (2024.emnlp-main)
Copied to clipboard
| Challenge: | Using large language models (LLMs) for automatic evaluation has become an important evaluation method in NLP research. |
| Approach: | They use large language models (LLMs) for automatic evaluation to evaluate a sample . they propose several recommendations for integrating LLMs into future classroom evaluations . |
| Outcome: | The proposed model is able to output high scores without meeting the evaluation instructions, the authors note . their model is not able for students to manipulate the model to output specific strings, they say . |
Breaking the Reviewer: Assessing the Vulnerability of Large Language Models in Automated Peer Review Under Textual Adversarial Attacks (2025.findings-emnlp)
Copied to clipboard
Tzu-Ling Lin, Wei-Chih Chen, Teng-Fang Hsiao, Hou-I Liu, Ya-Hsin Yeh, Yu-Kai Chan, Wen-Sheng Lien, Po-Yen Kuo, Philip S. Yu, Hong-Han Shuai
| Challenge: | Large language models (LLMs) are used to review academic papers, but are susceptible to textual adversarial attacks. |
| Approach: | They evaluate the robustness of large language models as automated reviewers in the presence of adversarial attacks. |
| Outcome: | The proposed model is robust against textual adversarial attacks, the authors argue . their findings highlight the importance of addressing adversarials to ensure integrity of scholarly communication. |