no code implementations • 3 Aug 2023 • Xiaowu Zhang, Xiaotian Zhang, Cheng Yang, Hang Yan, Xipeng Qiu
As large language models, such as GPT, continue to advance the capabilities of natural language processing (NLP), the question arises: does the problem of correction still persist?
no code implementations • 25 May 2023 • ShiMin Li, Xiaotian Zhang, Yanjun Zheng, Linyang Li, Xipeng Qiu
Dialogue data in real scenarios tend to be sparsely available, rendering data-starved end-to-end dialogue systems trained inadequately.
1 code implementation • 21 May 2023 • Xiaotian Zhang, Chunyang Li, Yi Zong, Zhengyu Ying, Liang He, Xipeng Qiu
Large Language Models(LLMs) have demonstrated remarkable performance across various natural language processing tasks; however, how to comprehensively and accurately assess their performance becomes an urgent issue to be addressed.
no code implementations • 10 Mar 2023 • Haiming Yao, Wenyong Yu, Wei Luo, Zhenfeng Qiang, Donghao Luo, Xiaotian Zhang
To address this issue, we propose a two-branch approach that consists of a local branch for detecting structural anomalies and a global branch for detecting logical anomalies.
Ranked #17 on Anomaly Detection on MVTec LOCO AD
no code implementations • 8 Dec 2022 • Xiaotian Zhang, Yanjun Zheng, Hang Yan, Xipeng Qiu
While pre-trained Chinese language models have demonstrated impressive performance on a wide range of NLP tasks, the Chinese Spell Checking (CSC) task remains a challenge.
no code implementations • 31 Oct 2022 • Xiaotian Zhang, Hang Yan, Yu Sun, Xipeng Qiu
To adapt BERT to the CSC task, we propose a token-level self-distillation contrastive learning method.
no code implementations • 5 Feb 2020 • Xiaotian Zhang, Zhe Jia, Zachary E. Ross, Robert W. Clayton
We present a machine-learning approach to classifying the phases of surface wave dispersion curves.
no code implementations • 23 Jan 2014 • Hai Zhao, Xiaotian Zhang, Chunyu Kit
Semantic parsing, i. e., the automatic derivation of meaning representation such as an instantiated predicate-argument structure for a sentence, plays a critical role in deep processing of natural language.