Yi-Lin Tuan


ytuan at cs dot ucsb.edu

Hi! I’m a PhD candidate in Computer Science at the University of California Santa Barbara (UCSB), working with Professor William Yang Wang. I received a BS in Electrical Engineering from National Taiwan University, where I fortunately worked with professors Lin-shan Lee, Hung-yi Lee, and Yun-Nung Chen on language modeling, deep learning algorithms, and speech processing. I also enjoyed interning at Meta AI and Amazon Alexa AI on (large) language models fine-tuning, pretraining, reasoning, and evaluation.

I’m researching the learning algorithms to improve language modeling and conversational AI, including reinforcement learning, to enhance their efficiency, performance, interpretability, and the representations. Here is my CV. Feel free to contact me via email.

publications & preprints

  1. Towards Safety and Helpfulness Balanced Responses via Controllable Large Language Models
    Yi-Lin Tuan, Xilun Chen, Eric Michael Smith, Louis Martin, Soumya Batra, Asli Celikyilmaz, William Yang Wang, and Daniel M. Bikel
    preprint, 2024
  2. Dynamic Latent Separation for Deep Learning
    Yi-Lin TuanZih-Yun Chiu, and William Yang Wang
    preprint, 2024
  3. Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning
    In NeurIPS, 2023
  4. CausalDialogue: Modeling Utterance-level Causality in Conversations
    In ACL-Findings, 2023
  5. Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis
    In EMNLP-Findings, 2022
  6. FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue
    In EMNLP, 2022
  7. Deep Learning–Based Perceptual Stimulus Encoder for Bionic Vision
    Lucas Relic, Bowen Zhang, Yi-Lin Tuan, and Michael Beyeler
    In Augmented Humans, 2022
  8. D-REX: Dialogue Relation Extraction with Explanations
    In NLP for Conversational AI workshop in ACL, 2022
  9. HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data
    Kai Nakamura, Sharon LevyYi-Lin TuanWenhu Chen, and William Yang Wang
    In ACL-Findings, 2022
  10. Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems
    In ACL-Findings, 2022
  11. Local explanation of dialogue response generation
    NeuIPS, 2021
  12. Quality Estimation without Human-labeled Data
    In EACL, 2021
  13. Parallelized reverse curriculum generation
    Zih-Yun ChiuYi-Lin TuanHung-yi Lee, and Li-Chen Fu
    preprint, 2021
  14. Knowledge injection into dialogue generation via language models
    Yi-Lin TuanWei Wei, and William Yang Wang
    preprint, 2020
  15. DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
    Yi-Lin TuanYun-Nung Chen, and Hung-Yi Lee
    In EMNLP, 2019
  16. Personalized Dialogue Response Generation Learned from Monologues.
    Feng-Guang Su*Aliyah R Hsu*Yi-Lin Tuan, and Hung-Yi Lee
    In Interspeech, 2019
  17. Proximal policy optimization and its dynamic version for sequence generation
    Yi-Lin Tuan*, Jinzhi Zhang*, Yujia Li, and Hung-yi Lee
    preprint, 2018
  18. Improving conditional sequence generative adversarial networks by stepwise evaluation
    Yi-Lin Tuan, and Hung-Yi Lee
    IEEE/ACM Transactions on Audio, Speech, and Language Processing (Journal), 2018
  19. Transcribing lyrics from commercial song audio: The first step towards singing content processing
    Che-Ping Tsai*Yi-Lin Tuan*, and Lin-shan Lee
    In ICASSP, 2018


I like to write songs, play the guitar, learn languages, and explore new things!