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cs.CL2025
From Monolingual to Bilingual: Investigating Language Conditioning in Large Language Models for Psycholinguistic Tasks
Shuzhou Yuan, Zhan Qu, Mario Tawfelis +1
Large Language Models (LLMs) exhibit strong linguistic capabilities, but little is known about how they encode psycholinguistic knowledge across languages. We investigate whether a…
cs.CL2025
PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs
Zhan Qu, Shuzhou Yuan, Michael Färber
This paper presents a systematic investigation into the constrained generation capabilities of large language models (LLMs) in producing Songci, a classical Chinese poetry form cha…
cs.CL2025★ 1 cited
SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification
Michael Färber, Parisa Aghdam, Kyuri Im +2
Text simplification is essential for making complex content accessible to diverse audiences who face comprehension challenges. Yet, the limited availability of simplified materials…