Yi-Lin (Pascal) Tuan

I am the founder and CEO at Orchat AI.

I am also a researcher of machine learning for the Utility, Efficiency and Reliability of conversational models. My work includes:

Utility: role-playing, multi-party, knowledge graph, relationships
Efficiency: efficient reinforcement Learning, representation learning, architecture design, language model inference and optimization
Reliability: language model explanation, evaluation, and transparent reasoning process

I received PhD in Computer Science from the University of California Santa Barbara and BS in Electrical Engineering from National Taiwan University, and interned at Meta and Amazon to contribute AI research.

Publications

A Gradient Analysis Framework for Rewarding Good and Penalizing Bad Examples in Language Models

Yi-Lin Tuan, and William Yang Wang

preprint, 2024

arXiv Bib

@article{tuan2024rgpb,
  title = {A Gradient Analysis Framework for Rewarding Good and Penalizing Bad Examples in Language Models},
  author = {Tuan, Yi-Lin and Wang, William Yang},
  journal = {preprint},
  year = {2024},
}

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

arXiv Bib

@article{tuan2024towards,
  title = {Towards Safety and Helpfulness Balanced Responses via Controllable Large Language Models},
  author = {Tuan, Yi-Lin and Chen, Xilun and Smith, Eric Michael and Martin, Louis and Batra, Soumya and Celikyilmaz, Asli and Wang, William Yang and Bikel, Daniel M.},
  journal = {preprint},
  year = {2024},
}

Dynamic Latent Separation for Deep Learning

Yi-Lin Tuan, Zih-Yun Chiu, and William Yang Wang

preprint, 2024

arXiv Bib

@article{tuan2024dynamic,
  title = {Dynamic Latent Separation for Deep Learning},
  author = {Tuan, Yi-Lin and Chiu, Zih-Yun and Wang, William Yang},
  journal = {preprint},
  year = {2024},
}

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

arXiv Bib Code

@inproceedings{chiu2022knowledge,
  title = {Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning},
  author = {Chiu*, Zih-Yun and Tuan*, Yi-Lin and Wang, William Yang and Yip, Michael C},
  booktitle = {NeurIPS},
  year = {2023}
}

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

arXiv Bib Code

@inproceedings{tuan2023causaldialogue,
  title = {CausalDialogue: Modeling Utterance-level Causality in Conversations},
  author = {Tuan, Yi-Lin and Albalak, Alon and Xu, Wenda and Saxon, Michael and Pryor, Connor and Getoor, Lise and Wang, William Yang},
  booktitle = {ACL-Findings},
  year = {2023}
}

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

arXiv Bib Code

@inproceedings{xu-etal-2022-errors,
  title = {Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis},
  author = {Xu, Wenda and Tuan, Yi-Lin and Lu, Yujie and Saxon, Michael and Li, Lei and Wang, William Yang},
  booktitle = {EMNLP-Findings},
  year = {2022},
  address = {Abu Dhabi, United Arab Emirates},
  publisher = {Association for Computational Linguistics},
  url = {https://aclanthology.org/2022.findings-emnlp.489},
  pages = {6559--6574}
}

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

arXiv Bib Code

@inproceedings{Albalak2022FETAAB,
  title = {FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue},
  author = {Albalak, Alon and Tuan, Yi-Lin and Jandaghi, Pegah and Pryor, Connor and Yoffe, Luke and Ramachandran, Deepak and Getoor, Lise and Pujara, Jay and Wang, William Yang},
  booktitle = {EMNLP},
  year = {2022}
}

Deep Learning–Based Perceptual Stimulus Encoder for Bionic Vision

Lucas Relic, Bowen Zhang, Yi-Lin Tuan, and Michael Beyeler

In Augmented Humans, 2022

arXiv Bib

@incollection{relic2022deep,
  author = {Relic, Lucas and Zhang, Bowen and Tuan, Yi-Lin and Beyeler, Michael},
  booktitle = {Augmented Humans},
  pages = {323--325},
  year = {2022}
}

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

arXiv Bib

@inproceedings{albalak2022d,
  title = {D-REX: Dialogue Relation Extraction with Explanations},
  author = {Albalak, Alon and Embar, Varun and Tuan, Yi-Lin and Getoor, Lise and Wang, William Yang},
  booktitle = {NLP for Conversational AI workshop in ACL},
  pages = {34--46},
  year = {2022}
}

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

arXiv Bib

@inproceedings{nakamura2022hybridialogue,
  title = {HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data},
  author = {Nakamura, Kai and Levy, Sharon and Tuan, Yi-Lin and Chen, Wenhu and Wang, William Yang},
  booktitle = {ACL-Findings},
  pages = {481--492},
  year = {2022}
}

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

arXiv Bib Code

@inproceedings{tuan2022towards,
  title = {Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems},
  author = {Tuan, Yi-Lin and Beygi, Sajjad and Fazel-Zarandi, Maryam and Gao, Qiaozi and Cervone, Alessandra and Wang, William Yang},
  booktitle = {ACL-Findings},
  pages = {383--395},
  year = {2022}
}

Local explanation of dialogue response generation

Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, and William Yang Wang

NeuIPS, 2021

arXiv Bib Code

@article{tuan2021local,
  title = {Local explanation of dialogue response generation},
  author = {Tuan, Yi-Lin and Pryor, Connor and Chen, Wenhu and Getoor, Lise and Wang, William Yang},
  journal = {NeuIPS},
  volume = {34},
  pages = {404--416},
  year = {2021}
}

Quality Estimation without Human-labeled Data

Yi-Lin Tuan, Ahmed El-Kishky, Adithya Renduchintala, Vishrav Chaudhary, Francisco Guzmán, and Lucia Specia

In EACL, 2021

arXiv Bib

@inproceedings{tuan2021quality,
  title = {Quality Estimation without Human-labeled Data},
  author = {Tuan, Yi-Lin and El-Kishky, Ahmed and Renduchintala, Adithya and Chaudhary, Vishrav and Guzmán, Francisco and Specia, Lucia},
  booktitle = {EACL},
  pages = {619--625},
  year = {2021}
}

Parallelized reverse curriculum generation

Zih-Yun Chiu, Yi-Lin Tuan, Hung-yi Lee, and Li-Chen Fu

preprint, 2021

arXiv Bib

@article{chiu2021parallelized,
  title = {Parallelized reverse curriculum generation},
  author = {Chiu, Zih-Yun and Tuan, Yi-Lin and Lee, Hung-yi and Fu, Li-Chen},
  journal = {preprint},
  year = {2021}
}

Knowledge injection into dialogue generation via language models

Yi-Lin Tuan, Wei Wei, and William Yang Wang

preprint, 2020

arXiv Bib

@article{tuan2020knowledge,
  title = {Knowledge injection into dialogue generation via language models},
  author = {Tuan, Yi-Lin and Wei, Wei and Wang, William Yang},
  journal = {preprint},
  year = {2020}
}

DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs

Yi-Lin Tuan, Yun-Nung Chen, and Hung-Yi Lee

In EMNLP, 2019

arXiv Bib Code

@inproceedings{tuan2019dykgchat,
  title = {DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs},
  author = {Tuan, Yi-Lin and Chen, Yun-Nung and Lee, Hung-Yi},
  booktitle = {EMNLP},
  pages = {1855--1865},
  year = {2019}
}

Personalized Dialogue Response Generation Learned from Monologues.

Feng-Guang Su*, Aliyah R Hsu*, Yi-Lin Tuan, and Hung-Yi Lee

In Interspeech, 2019

Bib PDF Code

@inproceedings{su2019personalized,
  title = {Personalized Dialogue Response Generation Learned from Monologues.},
  author = {Su*, Feng-Guang and Hsu*, Aliyah R and Tuan, Yi-Lin and Lee, Hung-Yi},
  booktitle = {Interspeech},
  pages = {4160--4164},
  year = {2019}
}

Proximal policy optimization and its dynamic version for sequence generation

Yi-Lin Tuan*, Jinzhi Zhang*, Yujia Li, and Hung-yi Lee

preprint, 2018

arXiv Bib

@article{tuan2018proximal,
  title = {Proximal policy optimization and its dynamic version for sequence generation},
  author = {Tuan*, Yi-Lin and Zhang*, Jinzhi and Li, Yujia and Lee, Hung-yi},
  journal = {preprint},
  year = {2018}
}

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

arXiv Bib Code

@article{tuan2019improving,
  title = {Improving conditional sequence generative adversarial networks by stepwise evaluation},
  author = {Tuan, Yi-Lin and Lee, Hung-Yi},
  journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing (Journal)},
  volume = {27},
  number = {4},
  pages = {788--798},
  year = {2018},
  publisher = {IEEE}
}

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

arXiv Bib Code

@inproceedings{tsai2018transcribing,
  title = {Transcribing lyrics from commercial song audio: The first step towards singing content processing},
  author = {Tsai*, Che-Ping and Tuan*, Yi-Lin and Lee, Lin-shan},
  booktitle = {ICASSP},
  pages = {5749--5753},
  year = {2018},
  organization = {IEEE}
}