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Long-term memory enables large language model (LLM) agents to maintain personalized and temporally coherent interactions, but repeated LLM inference for memory admission, extraction, and organization introduces substantial cost and latency. We present SLICE-Mem, a lightweight memory framework that combines salience-gui...
GPU-accelerated first-order methods are increasingly effective for solving large-scale linear programs (LPs), yet LP preprocessing remains predominantly CPU-based and can become costly. A key challenge is that dependencies among presolve reductions and frequent modifications to sparse LP data make efficient GPU paralle...
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.
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