Biography

Hi! Nice to meet you! I am Chia-Hsuan (Michael) Lee (李佳軒). I am a fifth-year PhD student at University of Washington, where I am advised by Prof. Mari Ostendorf in the Natural Language Processing Group. I also work closely with Prof. Noah A. Smith.

My research interests are deep learning/machine learning and their applications in natural language processing. My recent research interests are

• Conversational AI (SDP-DST (EMNLP 2021), IC-DST (EMNLP 2022), OrchestraLLM)
• text-to-SQL parsing (KaggleDBQA (ACL2021), IC-DST (EMNLP 2022))
• multilingual NLP (DOCmT5 (NAACL 2022), CLQA)

I was also fortunate to be advised by Matthew Richardson and Alex Polozov at Microsoft Research NLP group, Melvin Johnson at Google Research, Ankur Bapna and Yu Zhang at Google Brain Research.

I served on organzing comittees of Multilingual Information Access Workshop and program committees of Structured and Unstructured Knowledge Integration Workshop. I review for EMNLP, ACL, NAACL, COLING and ARR.

I have a Master’s degree in computer science from National Taiwan University working with Prof. Lin-Shan Lee, Prof. Hung-Yi Lee and Prof. Yun-Nung Chen on spoken question answering (Spoken-SQuAD, ODSQA, Adversarial Learning SQA).

Here is my CV

You can find me at: chiahlee [at] uw [dot] edu

News

• 11/2023: Our paper on orchestrating SLM and LLM with a retrieval-based dynamic router for task-oriented dialogues is out on arxiv, “OrchestraLLM” is out on arxiv!
• 07/2023: Our paper on collaborative human-LM framework for conversation generation, “DialGen” is out on arxiv!
• 10/2022: Our paper on in-context learning for dialogue “IC-DST” is accepted to EMNLP2022 Findings! “Twitter”
• 06/2022: Started the internship with Ankur Bapna and Yu Zhang at Google Brain Research, New York.
• 04/2022: Our paper “DOCmT5” is accepted to NAACL2022 Findings! “Twitter”
• 03/2022: Our new preprint In-Context Learning for Few-Shot Dialogue State Tracking is out!
• 02/2022: Our workshop on Multilingual Information Access (MIA) will be held at NAACL2022 in Seattle! Call for Paper and Shared Task are out!
• 12/2021: Our new preprint on “Document-level Multillingual Pretraining” is out!
• 08/2021: Our paper “Dialogue State Tracking with a Language Model using Schema-Driven Prompting” is accepted to EMNLP2021 main conference.
• 05/2021: Will be an AI Research intern at Translation Research Team, Google this summer with Melvin Johnson.
• 05/2021: Our paper “KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers” is accpted to ACL2021 main conference. Data page and download link available!