Introduces ontology memory-augmented ASR correction that organizes prior interaction history into retrievable nodes and reports gains over direct correction in 9 of 10 backbone-setting pairs on a new long-context dataset.
NeKo: a tool for automatic network construction from prior knowledge.PLOS Computational Biology, 21(9):e1013300 (2025)
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
PhysiBench is a benchmark resource consisting of 612 executable intracellular Boolean network variants and 120,000 time-resolved multiscale simulations generated from seven published networks via mutation, filtering, and sensitivity analysis.
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Ontology Memory-Augmented ASR Correction for Long Text-Speech Interleaved Conversations
Introduces ontology memory-augmented ASR correction that organizes prior interaction history into retrievable nodes and reports gains over direct correction in 9 of 10 backbone-setting pairs on a new long-context dataset.
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A benchmark suite of intracellular Boolean model variants and multiscale simulations for computational biology
PhysiBench is a benchmark resource consisting of 612 executable intracellular Boolean network variants and 120,000 time-resolved multiscale simulations generated from seven published networks via mutation, filtering, and sensitivity analysis.