1 code implementation • ACL 2022 • Xunjian Yin, Xiaojun Wan
With the rapid development of deep learning, Seq2Seq paradigm has become prevalent for end-to-end data-to-text generation, and the BLEU scores have been increasing in recent years.
no code implementations • 29 Feb 2024 • Junzhe Zhang, Huixuan Zhang, Xunjian Yin, Xiaojun Wan
News image captioning requires model to generate an informative caption rich in entities, with the news image and the associated news article.
1 code implementation • 18 Feb 2024 • Xunjian Yin, Xu Zhang, Jie Ruan, Xiaojun Wan
In recent years, substantial advancements have been made in the development of large language models, achieving remarkable performance across diverse tasks.
1 code implementation • 9 Dec 2023 • Xunjian Yin, Jin Jiang, Liming Yang, Xiaojun Wan
The imperative task of revising or updating the knowledge stored within large language models arises from two distinct sources: intrinsic errors inherent in the model which should be corrected and outdated knowledge due to external shifts in the real world which should be updated.
1 code implementation • 23 Oct 2023 • Xunjian Yin, Baizhou Huang, Xiaojun Wan
With the rapid development of NLP, large-scale language models (LLMs) excel in various tasks across multiple domains now.
no code implementations • 25 Jul 2023 • Xunjian Yin, Xiaojun Wan
With the development of pre-trained models and the incorporation of phonetic and graphic information, neural models have achieved high scores in Chinese Spelling Check (CSC).
1 code implementation • 5 Apr 2023 • Mingqi Gao, Jie Ruan, Renliang Sun, Xunjian Yin, Shiping Yang, Xiaojun Wan
Evaluating text summarization is a challenging problem, and existing evaluation metrics are far from satisfactory.
1 code implementation • 15 Nov 2022 • Xunjian Yin, Xinyu Hu, Jin Jiang, Xiaojun Wan
Chinese Spelling Check (CSC) aims to detect and correct error tokens in Chinese contexts, which has a wide range of applications.