About Me

I am a Machine Learning Engineer with an interdisciplinary background in Natural Language Processing (NLP), Human-Computer Interaction (HCI), and Psychometrics (focusing on evaluation and measurement). My previous experience in evaluation task design, large-scale data pipeline products, Large Language Model (LLM) research, and user interface and user experience (UI/UX) design equips me with a diverse skillset, collaborative mindset, and deliverable-driven attitude towards the next exciting adventure in the era of AI.

I got my PhD from Syracuse University, School of Information Studies, advised by Dr. Jeffrey Stanton and actively collaborating with Dr. Mo Yu . Before joining iSchool, my Master’s program is about Quantitative Research, Evaluation, and Measurement. My undergraduate major is German (linguistics) with a minor in psychology (psychometrics). I have always persisted in doing cutting-edge research. My work has been published in HCI venues such as CSCW, CHI and NLP conferences such as ACL, NAACL, and EMNLP.

News

Our paper In-Context Sampling Strategy for Reliable LLM Prompting (Arxiv version will be updated soon) was accepted to NAACL 2024!

Our paper FLEEK: Factual Error Detection and Correction with Evidence Retrieved from External Knowledge has been accepted to EMNLP2023! [PDF].

Our paper Malicious Selling Strategies in E-Commerce Livestream: A Case Study of Alibaba’s Taobao and ByteDance’s Douyin has been accepted to TOCHI! [PDF].

Happy to have my first student workshop paper! Our paper Machine Narrative Comprehension in a Fictional Characters Personality Prediction Task has been accepted to NAACL SRW 2022!

Our survey A Survey of Machine Narrative Reading Comprehension Assessments has been accepted to the IJCAI-ECAI2022 Survey Track (acceptance rate 18%) [PDF].

Our paper TVShowGuess: Character Comprehension in Stories as Speaker Guessing [PDF, Github] has been accepted to NAACL 2022!