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cs.CL2026
Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety
Qian Shen, Fanghua Cao, Min Yao +3
Large Language Models (LLMs) are widely applied in educational practices, such as for generating children's stories. However, the generated stories are often too difficult for chil…
cs.CL2025
DETQUS: Decomposition-Enhanced Transformers for QUery-focused Summarization
Yasir Khan, Xinlei Wu, Sangpil Youm +5
Query-focused tabular summarization is an emerging task in table-to-text generation that synthesizes a summary response from tabular data based on user queries. Traditional transfo…
cs.CL2024
Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer Architectures for Cross-Language Structural Priming
Demi Zhang, Bushi Xiao, Chao Gao +2
This study evaluates the performance of Recurrent Neural Network (RNN) and Transformer models in replicating cross-language structural priming, a key indicator of abstract grammati…