(* indicates equal contribution)
  1. Yi-Lin Tuan, Zih-Yun Chiu, William Yang Wang. "Atomized Deep Learning Models", 2023 (under submission; will update soon). [paper-2022ver]
  2. Zih-Yun Chiu*, Yi-Lin Tuan*, William Yang Wang, Michael C. Yip. "Knowledge-Grounded Reinforcement Learning", 2023 (under submission; will update soon). [paper-2022ver]
  3. Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang. "CausalDialogue: Modeling Utterance-level Causality in Conversations", ACL-Findings (long) 2023. [paper]
    1. Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang. "FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue", EMNLP (long) 2022. [paper]
    2. Wenda Xu, Yi-Lin Tuan, Yujie Lu, Michael Saxon, Lei Li, William Yang Wang. "Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis", EMNLP-Findings (long) 2022. [paper]
    3. Yi-Lin Tuan, Sajjad Beygi, Maryam Fazel-Zarandi, Qiaozi Gao, Alessandra Cervone, William Yang Wang. "Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems", ACL-Findings (long) 2022. [paper]
    4. Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang. "HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data", ACL-Findings (long) 2022. [paper]
    5. Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang. "D-REX: Dialogue Relation Extraction with Explanations", 4th ConvAI Workshop at ACL2022. [paper]
    6. Lucas Relic, Bowen Zhang, Yi-Lin Tuan, Michael Beyeler. "Deep Learning–Based Perceptual Stimulus Encoder for Bionic Vision", ACM Augmented Humans 2022. [paper] Best Poster Award
    1. Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang. "Local Explanation of Dialogue Response Generation", NeurIPS 2021. [paper | code]
    2. Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Francisco Guzmán, Lucia Specia. "Quality Estimation without Human-labeled Data", EACL (short) 2021. [paper]
    1. Yi-Lin Tuan, Wei Wei, William Yang Wang. "Knowledge Injection into Dialogue Generation via Language Modelsi", preprint 2020 [paper]
    1. Yi-Lin Tuan, Yun-Nung Chen, and Hung-yi Lee. "DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs", EMNLP-IJCNLP (long) 2019. [paper | code] SoCalNLP19/SAP Best Paper Award
    2. Feng-Guang Su*, Aliyah Hsu*, Yi-Lin Tuan, and Hung-yi Lee. "Personalized Dialogue Response Generation Learned from Monologues", Interspeech 2019. [paper | code | demo]
    1. Zih-Yun Chiu, Yi-Lin Tuan, Hung-yi Lee, Li-Chen Fu. "Parallelized Reverse Curriculum Generation", preprint 2018. [paper]
    2. Yi-Lin Tuan*, Jinzhi Zhang*, Yujia Li, and Hung-yi Lee. "Proximal Policy Optimization and its Dynamic Version for Sequence Generation", preprint 2018. [paper]
    3. Yi-Lin Tuan and Hung-yi Lee. "Improving Conditional Sequence Generative Adversarial Network by Stepwise Evaluation", Journal of IEEE/ACM Transaction on Audio, Speech, and Language Processing (TASLP), 2019. [paper | code]
    4. Che-Ping Tsai*, Yi-Lin Tuan*, and Lin-shan Lee. "Transcribing Lyrics from Commercial Song Audio: the First Step towards Singing Content Processing", ICASSP 2018. [paper | code | demo]