AI RESEARCH
Toward Responsible and Epistemically Grounded Multilingual LLMs for Computational Social Science and Humanities
arXiv CS.CL
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ArXi:2606.00596v1 Announce Type: new Large language models have rapidly evolved in multilingual competence and reasoning capacity, enabling their integration into Social Sciences and Humanities research workflows. Yet existing evaluation paradigms remain anchored in task-based NLP benchmarks and fail to address interpretive validity, cultural situatedness, and epistemic mediation. This paper reconceptualizes multilingual reasoning LLMs as hermeneutic instruments that actively structure meaning production across linguistic and cultural contexts.