4 papers
Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task
Fanyi Qu, Chenming Tang, Yunfang Wu
Large-scale language models (LLMs) has shown remarkable capability in various of Natural Language Processing (NLP) tasks and attracted lots of attention recently. However, some stu…
Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding
Fanyi Qu, Hao Sun, Yunfang Wu
Within the context of reading comprehension, the task of Distractor Generation (DG) aims to generate several incorrect options to confuse readers. Traditional supervised methods fo…
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction
Chenming Tang, Fanyi Qu, Yunfang Wu
In the era of large language models (LLMs), in-context learning (ICL) stands out as an effective prompting strategy that explores LLMs' potency across various tasks. However, apply…
Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding
Zichen Wu, Hsiu-Yuan Huang, Fanyi Qu +1
Deep multimodal semantic understanding that goes beyond the mere superficial content relation mining has received increasing attention in the realm of artificial intelligence. The…