Yating Wu

Research Experience

• Continuous pretraining, fine-tuning, evaluating LLM on science field.
• Discourse relationship (sentences relationship within document) and its application case like enhancing text accessibility through adding elaboration information to simplified text. Specifically, I work on problems related to Questions Under Discussion.

Education

Ph.D., (Aug. 2022 - Now) in Computer Enginnering

M.S., (Jan. 2020 - Now) in Computer Enginnering

Department of Electrical and Computer Engineering,

University of Texas at Austin.
Advisors: Prof. Jessy Li, Prof. Alex Dimakis
Group: UT NLP Group, Wireless Networking and Communications Group(WNCG)

B.Eng., (Spt. 2014 - Jul. 2019) in Computer Science and Technology

B.A., (Spt. 2014 - Jul. 2019) in Japanese

Department of Computer Science
Dalian University of Technology.

Undergraduate Exchange Student, (Spt. 2017 - Aug. 2018) in Computer Science

Department of Information & Communication Engineering,
The University of Tokyo.
Advisor: Prof. Toshihiko Yamasaki
Group: Aizawa Yamakata Matsui Laboratory

Selected Publications

(^†Indicates equal contribution)

• QUDsim: Quantifying Discourse Similarities in LLM-Generated Text [code and data]
  Ramya Namuduri, Yating Wu, Asher Zheng, Manya Wadhwa, Greg Durrett and Junyi Jessy Li.
  arXiv

• Which questions should I answer? Salience Prediction of Inquisitive Questions [code and data]
  Yating Wu^†, Ritika Mangla^†, Alexandros G. Dimakis, Greg Durrett and Junyi Jessy Li
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024. (Oral)
  Outstanding Paper Award 🏅

• QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing [code and data]
  Yating Wu, Ritika Mangla, Greg Durrett and Junyi Jessy Li
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. (Oral)

• Elaborative Simplification as Implicit Questions Under Discussion [code and data]
  Yating Wu^†, William Sheffield^†, Kyle Mahowald and Junyi Jessy Li
  Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.

• Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion [code]
  Wei-Jen Ko, Yating Wu, Cutter Dalton, Dananjay Srinivas, Greg Durrett and Junyi Jessy Li
  Findings of the Association for Computational Linguistics (ACL), 2023.

Workshops

(^†Indicates equal contribution)

• Modeling Bilingual Disfluencies with Large Language Models
  Negin Raoof^†, Yating Wu^†, Carlos Bonilla^†, Junyi Jessy Li, Stephanie M Grasso, Alexandros G. Dimakis and Zoi Gkalitsiou
  ICML Workshop on LLMs and Cognition, 2024.

Experience

Working Experience

• Amazon Alexa AGI, Summer 2024
  Applied Scientist Intern. I worked on research problems focused on enhancing the planning and tool-using capabilities of LLM agents.
  

• Amazon Prime Video, Summer 2023
  Software Develop Engineer Intern. I implemented an in-game notification system.
  

• Amazon Prime Video, Summer 2021
  Software Develop Engineer Intern. I implemented a Java-based ranking system for live events. The project got launched in prime video offical site.

Teaching Experience

• CS391L: Machine Learning (Head TA). Summer 2022 - Now.
• CS391L: Machine Learning (TA). Fall 2021 - Summer 2022
• EE422C: Software Design & Implementation II (TA). Summer 2020 - Spring 2021

Services

• Reviewer: ACL ARR 2024 Feb - Now, ACL 2024, EMNLP 2024, COLM 2024, ICML 2024 Workshop on LLMs and Cognition, DMLR @ ICML 2024, Neurips 2024 Workshop on Behavioral ML

Awards

• Outstanding Paper Award in EMNLP 2024
• VMware Codehouse Palo Alto 1st place, Jul. 2021[post]
• Outstanding graduates, Jun. 2019
• Outstanding graduates, Jun. 2014

Links

Department of Electrical and Computer Engineering

The University of Texas at Austin

The University of Tokyo

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