3 papers
cs.LG2026
MLB: A Scenario-Driven Benchmark for Evaluating Large Language Models in Clinical Applications
Qing He, Dongsheng Bi, Jianrong Lu +20
The proliferation of Large Language Models (LLMs) presents transformative potential for healthcare, yet practical deployment is hindered by the absence of frameworks that assess re…
cs.CL2025
Uncovering Visual-Semantic Psycholinguistic Properties from the Distributional Structure of Text Embedding Space
Si Wu, Sebastian Bruch
Imageability (potential of text to evoke a mental image) and concreteness (perceptibility of text) are two psycholinguistic properties that link visual and semantic spaces. It is l…
cs.CL2025
Multiple References with Meaningful Variations Improve Literary Machine Translation
Si Wu, John Wieting, David A. Smith
While a source sentence can be translated in many ways, most machine translation (MT) models are trained with only a single reference. Previous work has shown that using synthetic…