19 citations · 38 across the 6 of their papers we have counts for
6 papers · 1 filter
Does Correction Remain A Problem For Large Language Models?
Xiaowu Zhang, Xiaotian Zhang, Cheng Yang +2
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?…
Multijugate Dual Learning for Low-Resource Task-Oriented Dialogue System
Shimin Li, Xiaotian Zhang, Yanjun Zheng +2
Dialogue data in real scenarios tend to be sparsely available, rendering data-starved end-to-end dialogue systems trained inadequately. We discover that data utilization efficiency…
Evaluating the Performance of Large Language Models on GAOKAO Benchmark
Xiaotian Zhang, Chunyang Li, Yi Zong +12
Large Language Models(LLMs) have demonstrated remarkable performance across various natural language processing tasks; however, how to comprehensively and accurately assess their p…
Investigating Glyph Phonetic Information for Chinese Spell Checking: What Works and What's Next
Xiaotian Zhang, Yanjun Zheng, Hang Yan +1
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. Previous…
SDCL: Self-Distillation Contrastive Learning for Chinese Spell Checking
Xiaotian Zhang, Hang Yan, Yu Sun +1
Due to the ambiguity of homophones, Chinese Spell Checking (CSC) has widespread applications. Existing systems typically utilize BERT for text encoding. However, CSC requires the m…
Integrative Semantic Dependency Parsing via Efficient Large-scale Feature Selection
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 proces…