VecCISC filters equivalent, degenerate, or hallucinated reasoning traces via semantic clustering before critic evaluation, reducing token use by 47% with no loss in accuracy versus standard CISC.
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3 Pith papers cite this work. Polarity classification is still indexing.
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path_boost packages PathBoost, an interpretable path-based gradient booster for graphs that is competitive with GINE and WL+SVR on six molecular regression datasets while exposing which labeled paths drive predictions.
Three Metapath2Vec variants create ingredient embeddings by walking a co-occurrence graph from recipes, a typed chemical compound graph from FlavorDB, or a controlled blend of both.
citing papers explorer
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VecCISC: Improving Confidence-Informed Self-Consistency with Reasoning Trace Clustering and Candidate Answer Selection
VecCISC filters equivalent, degenerate, or hallucinated reasoning traces via semantic clustering before critic evaluation, reducing token use by 47% with no loss in accuracy versus standard CISC.
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path_boost: A Python Package for Interpretable Graph-Level Prediction using Path-Based Gradient Boosting
path_boost packages PathBoost, an interpretable path-based gradient booster for graphs that is competitive with GINE and WL+SVR on six molecular regression datasets while exposing which labeled paths drive predictions.
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Epicure: Navigating the Emergent Geometry of Food Ingredient Embeddings
Three Metapath2Vec variants create ingredient embeddings by walking a co-occurrence graph from recipes, a typed chemical compound graph from FlavorDB, or a controlled blend of both.