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Hi there šŸ‘‹

  • šŸ”­ Iā€™m currently working on conditional text generation, conversational agents, deep learning objective functions.
  • šŸŒ± Iā€™m currently learning more about representation learning, explainable AI, and some computer vision.

Yi-Lin Tuan's Projects

causaldialogue icon causaldialogue

Conversation Branches and DAGs. Pytorch. The data and code of paper "CausalDialogue: Modeling Utterance-level Causality in Conversations" ACL-Findings 2023.

conditional-seq-gans icon conditional-seq-gans

GANs for Conditional Sequence Generation. Tensorflow. Including the code of paper "Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation" IEEE/ACM TASLP, 2019.

diffkg-dialog icon diffkg-dialog

Dialogue generation models on pairwise or universal knowledge graphs. Pytorch. The code of paper "Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems, ACL-Findings 2022"

dykgchat icon dykgchat

Dynamic Knowledge-Grounded Dialogue Generation. Tensorflow. The data and code of paper "DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs, EMNLP 2019"

kgrl icon kgrl

Knowledge-Grounded Reinforcement Learning

lerg icon lerg

A unified approach to explain conditional text generation models. Pytorch. The code of paper "Local Explanation of Dialogue Response Generation, NeurIPS 2021"

vocaldata icon vocaldata

The data description of the paper "Transcribing Lyrics From Commercial Song Audio: The First Step Towards Singing Content Processing"

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