Yau-Shian Wang

According to our database, Yau-Shian Wang authored at least 16 papers between 2017 and 2024.

Collaborative distances:

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

2024

Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM.

Ruohong Zhang, Yau-Shian Wang, Yiming Yang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-tuned GPT.

Ruohong Zhang, Yau-Shian Wang, Yiming Yang

CoRR, 2023

Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions.

Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei

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

Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search.

Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh, Hsiang-Fu Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification.

Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Toxicity Detection with Generative Prompt-based Inference.

Yau-Shian Wang, Yingshan Chang

CoRR, 2022

Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions.

Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei

CoRR, 2022

Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification.

Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Tom Vu, Likun Lei

CoRR, 2022

English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings.

Yau-Shian Wang, Ashley Wu, Graham Neubig

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

2021

Are you doing what I say? On modalities alignment in ALFRED.

Ting-Rui Chiang, Yi-Ting Yeh, Ta-Chung Chi, Yau-Shian Wang

CoRR, 2021

2020

Investigation of Sentiment Controllable Chatbot.

Hung-yi Lee, Cheng-Hao Ho, Chien-Fu Lin, Chiung-Chih Chang, Chih-Wei Lee, Yau-Shian Wang, Tsung-Yuan Hsu, Kuan-Yu Chen

CoRR, 2020

Learning Interpretable and Discrete Representations with Adversarial Training for Unsupervised Text Classification.

Yau-Shian Wang, Hung-yi Lee, Yun-Nung Chen

CoRR, 2020

2019

Tree Transformer: Integrating Tree Structures into Self-Attention.

Yau-Shian Wang, Hung-yi Lee, Yun-Nung Chen

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

2018

Scalable Sentiment for Sequence-to-Sequence Chatbot Response with Performance Analysis.

Chih-Wei Lee, Yau-Shian Wang, Tsung-Yuan Hsu, Kuan-Yu Chen, Hung-yi Lee, Lin-Shan Lee

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks.

Yau-Shian Wang, Hung-yi Lee

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Multi-Source Learning for Sales Prediction.

Kuen-Han Tsai, Yau-Shian Wang, Hsuan-Yu Kuo, Jui-Yi Tsai, Ching-Chih Chang, Hui-Ju Hung, Hong-Han Shuai

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2017