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2020 – today
- 2024
[i6]Biyang Guo, He Wang, Wenyilin Xiao, Hong Chen, Zhuxin Lee, Songqiao Han, Hailiang Huang:
Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs. CoRR abs/2404.13033 (2024)- 2023
- [i5]Biyang Guo, Xin Zhang, Ziyuan Wang, Minqi Jiang, Jinran Nie, Yuxuan Ding, Jianwei Yue, Yupeng Wu:
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection. CoRR abs/2301.07597 (2023) - 2022
- [i4]Biyang Guo, Songqiao Han, Hailiang Huang:
Selective Text Augmentation with Word Roles for Low-Resource Text Classification. CoRR abs/2209.01560 (2022) - [i3]Biyang Guo, Yeyun Gong, Yelong Shen, Songqiao Han, Hailiang Huang, Nan Duan
, Weizhu Chen:
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation. CoRR abs/2211.10330 (2022) - 2021
- [c1]Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu:
Label Confusion Learning to Enhance Text Classification Models. AAAI 2021: 12929-12936 - [i2]Biyang Guo, Songqiao Han, Hailiang Huang:
What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification. CoRR abs/2109.00175 (2021) - 2020
- [i1]Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu:
Label Confusion Learning to Enhance Text Classification Models. CoRR abs/2012.04987 (2020)
Coauthor Index
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