5 papers
Let's Simplify Step by Step: Guiding LLM Towards Multilingual Unsupervised Proficiency-Controlled Sentence Simplification
Jingshen Zhang, Xin Ying Qiu, Lifang Lu +4
Large language models demonstrate limited capability in proficiency-controlled sentence simplification, particularly when simplifying across large readability levels. We propose a…
Cross-Domain Transfer and Few-Shot Learning for Personal Identifiable Information Recognition
Junhong Ye, Xu Yuan, Xinying Qiu
Accurate recognition of personally identifiable information (PII) is central to automated text anonymization. This paper investigates the effectiveness of cross-domain model transf…
DualReward: A Dynamic Reinforcement Learning Framework for Cloze Tests Distractor Generation
Tianyou Huang, Xinglu Chen, Jingshen Zhang +2
This paper introduces DualReward, a novel reinforcement learning framework for automatic distractor generation in cloze tests. Unlike conventional approaches that rely primarily on…
COLA-GEC: A Bidirectional Framework for Enhancing Grammatical Acceptability and Error Correction
Xiangyu Yang, Xinying Qiu
Grammatical Error Correction (GEC) and grammatical acceptability judgment (COLA) are core tasks in natural language processing, sharing foundational grammatical knowledge yet typic…
Label Confidence Weighted Learning for Target-level Sentence Simplification
Xinying Qiu, Jingshen Zhang
Multi-level sentence simplification generates simplified sentences with varying language proficiency levels. We propose Label Confidence Weighted Learning (LCWL), a novel approach…