Yi-Lin Tuan

According to our database, Yi-Lin Tuan authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Yi-Lin Tuan, William Yang Wang

CoRR, 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, Daniel M. Bikel

CoRR, 2024

2023

Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning.

Zih-Yun Chiu, Yi-Lin Tuan, William Yang Wang, Michael C. Yip

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CausalDialogue: Modeling Utterance-level Causality in Conversations.

Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Knowledge-Grounded Reinforcement Learning.

Zih-Yun Chiu, Yi-Lin Tuan, William Yang Wang, Michael C. Yip

CoRR, 2022

Atomized Deep Learning Models.

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

CoRR, 2022

Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis.

Wenda Xu, Yi-Lin Tuan, Yujie Lu, Michael Saxon, Lei Li, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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, William Yang Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Deep Learning-Based Perceptual Stimulus Encoder for Bionic Vision.

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

Proceedings of the AHs 2022: Augmented Humans 2022, Hybrid Event / Munich, Germany, March 13, 2022

Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems.

Yi-Lin Tuan, Sajjad Beygi, Maryam Fazel-Zarandi, Qiaozi Gao, Alessandra Cervone, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data.

Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

D-REX: Dialogue Relation Extraction with Explanations.

Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang

Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021

Parallelized Reverse Curriculum Generation.

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

CoRR, 2021

Local Explanation of Dialogue Response Generation.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Quality Estimation without Human-labeled Data.

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

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Unsupervised Injection of Knowledge into Dialogue Generation via Language Models.

Yi-Lin Tuan, Wei Wei, William Yang Wang

CoRR, 2020

2019

Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation.

Yi-Lin Tuan, Hung-yi Lee

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Personalized Dialogue Response Generation Learned from Monologues.

Feng-Guang Su, Aliyah R. Hsu, Yi-Lin Tuan, Hung-yi Lee

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs.

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

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Proximal Policy Optimization and its Dynamic Version for Sequence Generation.

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

CoRR, 2018

Transcribing Lyrics from Commercial Song Audio: the First Step Towards Singing Content Processing.

Che-Ping Tsai, Yi-Lin Tuan, Lin-Shan Lee

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018