Biyang Guo

According to our database, Biyang Guo authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

2024

Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs.

Biyang Guo, He Wang, Wenyilin Xiao, Hong Chen, Zhuxin Lee, Songqiao Han, Hailiang Huang

CoRR, 2024

Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs.

Biyang Guo, He Wang, Wenyilin Xiao, Hong Chen, Zhuxin Lee, Songqiao Han, Hailiang Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection.

Biyang Guo, Xin Zhang, Ziyuan Wang, Minqi Jiang, Jinran Nie, Yuxuan Ding, Jianwei Yue, Yupeng Wu

CoRR, 2023

2022

GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation.

Biyang Guo, Yeyun Gong, Yelong Shen, Songqiao Han, Hailiang Huang, Nan Duan, Weizhu Chen

CoRR, 2022

Selective Text Augmentation with Word Roles for Low-Resource Text Classification.

Biyang Guo, Songqiao Han, Hailiang Huang

CoRR, 2022

2021

What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification.

Biyang Guo, Songqiao Han, Hailiang Huang

CoRR, 2021

Label Confusion Learning to Enhance Text Classification Models.

Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021