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Yuan Yuan

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#artificial intelligence Preprint Aug 2026

Multilingual Safety Signals Are Multi-Layered: Filtering Safety-Degrading Data for Safer LLMs

MMSAFE is proposed, a multi-layer framework for multilingual safety-degrading data identification that captures both shared and language-specific safety signals and reduces the average harmful-response ratio compared with random filtering and achieves stronger average performance than the strongest single-layer baselin...

Jia-Kun Li, Guo-Wei Song, Si-Jia Li et al. · 0 citations
#small language model Open access Aug 2026

LifeSciBench: Evaluating Language Models on Realistic, Expert-Level Tasks in the Life Sciences

LifeSciBench is introduced, a benchmark of 750 expert-authored tasks designed to evaluate whether language models can handle realistic life science research work, with each constituent task paired with a human expert-written rubric.

Amelia Liu, Andrew Ho, A. Droste et al. · 5 citations · ⚡1

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