This work proposes olBlend, a language-guided framework for molecular mixture retrieval that uses MixPOM to predict odor probabilities for candidate molecular pairs and stores these predictions for retrieval, and uses a language model to translate each odor description into three types of semantic requirements.
Dian Jin, Zhe-Chang Chen, Qi-Lin Liang et al.· 0 citations
Abstract Background Gait impairment is a prevalent sequela of stroke. Although observational gait analysis remains a standard clinical practice for assessing neuromotor impairments in people with stroke, it is prone to subjective bias. Consequently, objective assessment is required to inform effective rehabilitation pr...
Zhexuan Gu, Jiaqi Li, Wen-Bin Zhou et al.· JMIR Rehabilitation and Assi...· 0 citations
This work proposes RosePO, a framework to refine LLM-based recommendation through pairwise preference optimization with personalized smoothing, and incorporates a personalized smoothing factor predicted by a user oracle into the optimization objective.
Jia-Yi Liao, Xiang-Nan He, Ruo-Bing Xie et al.· ACM Transactions on Informat...· 0 citations
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