Hi, I’m Yen-Hsiang Wang (王彥翔). Currently as Research Assitant at the Natural Language Processing Lab at National Chung Hsing University. My master’s research is advised by Professor Yao-Chang Fan.

My recent research and projects are as follows include Natural Language Processing and Machine Learning, including but not limited to:

• Exploring how LLMs can enhance translation for low-resource or unseen languages by leveraging Chain-of-Thought reasoning and providing relevant patterns through sentence retrieval.
• Distilling knowledge from dense embedding models for query expansion finetuning to enhance the performance of term-based retrieval systems.

Download my CV here

Research Interests

• Reliable and robust integration of effective retrievers and large language models.
• Interpretability on Large Language Models.
• Human collaboration on LLM Agents and robustness of Reasoning Agents.

I am interested in enhancing the interpretability of model mechanisms and their understanding of human intentions, as well as in providing more accurate and reliable retrieval methods for Large Language Models.

News

• 11/2024: I co-taught a tutorial on Retrieval-Augmented Language Models at ROCLING 2024. Slides are available on our website.
• 11/2024: Our paper, which constructs a Cross-Lingual Retrieval Dataset in the Taiwan Legal domain, was nominated for Best Paper at ROCLING 2024.
• 08/2024: Our papaer Learning-From-Mistakes Prompting for Indigenous Language Translation was accepted to the ACL LoResMT 2024.

Service

Reviewer:

• GEM Workshop at EMNLP 2023