publications

(*) indicates equal contributions.

2024

  1. A Gradient Analysis Framework for Rewarding Good and Penalizing Bad Examples in Language Models
    Yi-Lin Tuan, and  William Yang Wang
    preprint, 2024
  2. 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
  3. Dynamic Latent Separation for Deep Learning
    Yi-Lin Tuan Zih-Yun Chiu, and  William Yang Wang
    preprint, 2024

2023

  1. Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning
    Zih-Yun Chiu*, Yi-Lin Tuan* William Yang Wang, and  Michael C Yip
    In NeurIPS, 2023
  2. CausalDialogue: Modeling Utterance-level Causality in Conversations
    Yi-Lin Tuan Alon Albalak,  Wenda Xu,  Michael Saxon,  Connor Pryor,  Lise Getoor, and  William Yang Wang
    In ACL-Findings, 2023

2022

  1. Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis
    Wenda Xu, Yi-Lin Tuan Yujie Lu,  Michael Saxon,  Lei Li, and  William Yang Wang
    In EMNLP-Findings, 2022
  2. FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue
    Alon Albalak, Yi-Lin Tuan Pegah Jandaghi,  Connor Pryor,  Luke Yoffe,  Deepak Ramachandran,  Lise Getoor,  Jay Pujara, and  William Yang Wang
    In EMNLP, 2022
  3. Deep Learning–Based Perceptual Stimulus Encoder for Bionic Vision
    Lucas Relic, Bowen Zhang, Yi-Lin Tuan, and  Michael Beyeler
    In Augmented Humans, 2022
  4. D-REX: Dialogue Relation Extraction with Explanations
    Alon Albalak,  Varun Embar, Yi-Lin Tuan Lise Getoor, and  William Yang Wang
    In NLP for Conversational AI workshop in ACL, 2022
  5. HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data
    Kai Nakamura,  Sharon Levy, Yi-Lin Tuan Wenhu Chen, and  William Yang Wang
    In ACL-Findings, 2022
  6. Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems
    Yi-Lin Tuan Sajjad Beygi,  Maryam Fazel-Zarandi,  Qiaozi Gao,  Alessandra Cervone, and  William Yang Wang
    In ACL-Findings, 2022

2021

  1. Local explanation of dialogue response generation
    Yi-Lin Tuan Connor Pryor,  Wenhu Chen,  Lise Getoor, and  William Yang Wang
    NeuIPS, 2021
  2. Quality Estimation without Human-labeled Data
    Yi-Lin Tuan Ahmed El-Kishky,  Adithya Renduchintala,  Vishrav Chaudhary,  Francisco Guzmán, and  Lucia Specia
    In EACL, 2021
  3. Parallelized reverse curriculum generation
    Zih-Yun Chiu, Yi-Lin Tuan Hung-yi Lee, and  Li-Chen Fu
    preprint, 2021

2020

  1. Knowledge injection into dialogue generation via language models
    Yi-Lin Tuan Wei Wei, and  William Yang Wang
    preprint, 2020

2019

  1. DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
    Yi-Lin Tuan Yun-Nung Chen, and  Hung-Yi Lee
    In EMNLP, 2019
  2. Personalized Dialogue Response Generation Learned from Monologues.
    Feng-Guang Su*,  Aliyah R Hsu*, Yi-Lin Tuan, and  Hung-Yi Lee
    In Interspeech, 2019

2018

  1. Proximal policy optimization and its dynamic version for sequence generation
    Yi-Lin Tuan*, Jinzhi Zhang*, Yujia Li, and  Hung-yi Lee
    preprint, 2018
  2. 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
  3. 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