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cs.CL2026

A Human-in-the-Loop Corpus for LLM-Based Simplification of Scientific Summaries

Kyuri Im, Michael Färber

Interdisciplinary research is accelerating, yet scientific papers remain difficult to understand outside their home fields. We study large language model (LLM)-based simplification…

cs.CL2026

NRITYAM: Language Models Meet Art and Heritage of Dance

Punit Kumar Singh, Niladri Ghosh, Advait Joshiınst +3

Language models have become essential tools in shaping modern workflows. However, their global effectiveness hinges on a nuanced understanding of local socio-cultural contexts. To…

cs.CL2026

MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs

Zhan Qu, Michael Färber

Large Language Models (LLMs) are increasingly applied to medicine, yet their adoption is limited by concerns over reliability and safety. Existing evaluations either test factual m…

cs.CL2026

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

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

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…