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Yen-Ting Lin

Ph.D. Candidate
National Taiwan University
ytl (at) ieee.org


About Me

I’m a Ph.D. candidate at National Taiwan University, advised by Professor Yun-Nung (Vivian) Chen in the Miulab. I have been fortunate to gain practical experience through various internships, including at IBM Research in the summer of 2020, MediaTek Research in the summer of 2020, and Amazon Alexa AI in the summers of 2021 and 2022.

My research focus is on Natural Language Processing and Language Models. For a more in-depth understanding of my qualifications and experience, please refer to my CV.

News

Publications

  1. LLM-Eval: Unified Multi-Dimensional Automatic Evaluation for Open-Domain Conversations with Large Language Models
    Yen Ting Lin, Yun-Nung Chen
    5th Workshop on NLP for ConvAI (NLP4ConvAI), 2023.
    Paper Code BibTex
  2. Selective In-Context Data Augmentation for Intent Detection using Pointwise V-Information
    Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Sungjin Lee, Devamanyu Hazarika, Mahdi Namazifar, Di Jin, Yang Liu and Dilek Hakkani-Tur
    The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023.
    Paper Poster Slides Video BibTex
  3. Knowledge-Grounded Conversational Data Augmentation with Generative Conversational Networks
    Yen Ting Lin, Alexandros Papangelis, Seokhwan Kim, Dilek Hakkani-Tur
    Special Interest Group on Discourse and Dialogue (SIGDial), 2022.
    Paper Video BibTex Oral Presentation
  4. SalesBot: Transitioning from Chit-Chat to Task-Oriented Dialogues
    Ssu Chiu, Maolin Li, Yen-Ting Lin, Yun-Nung Chen
    Association for Computational Linguistics (ACL), 2022.
    Paper Code BibTex

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