Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMs.
CoRR, 2024
Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024
How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection.
CoRR, 2023
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation.
CoRR, 2022
Selective Text Augmentation with Word Roles for Low-Resource Text Classification.
CoRR, 2022
What Have Been Learned & What Should Be Learned? An Empirical Study of How to Selectively Augment Text for Classification.
CoRR, 2021
Label Confusion Learning to Enhance Text Classification Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021