no code implementations • 24 Mar 2024 • Mohammadreza Pourreza, Davood Rafiei, Yuxi Feng, Raymond Li, Zhenan Fan, Weiwei Zhang
Furthermore, compared to these competitive models, our proposed encoder enhances the downstream performance of NL2SQL models in 1-shot in-context learning scenarios by 1-2\% for GPT-3. 5-turbo, 4-8\% for CodeLlama-7B, and 2-3\% for CodeLlama-13B.
1 code implementation • 17 Jun 2023 • Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie
Self-training (ST) has come to fruition in language understanding tasks by producing pseudo labels, which reduces the labeling bottleneck of language model fine-tuning.
1 code implementation • 16 Dec 2022 • Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie
Augmented by only self-generated pseudo text, generation models over-emphasize exploitation of the previously learned space, suffering from a constrained generalization boundary.
no code implementations • SEMEVAL 2021 • Pingsheng Liu, LinLin Wang, Qian Zhao, Hao Chen, Yuxi Feng, Xin Lin, Liang He
This paper describes our system for SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning.