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Proposes RT, a test-time inference method that enhances semantic reasoning in text embedding models by running multiple forward passes, improving performance on reasoning tasks while maintaining general semantic understanding.
This paper introduces SGR-BIM, a graph-driven semantic reasoning framework that dynamically aligns regulatory intent with BIM geometry to automate geometry-intensive compliance checks, achieving 84.3% accuracy on fire safety code queries.
This paper introduces Afrispeech Semantics, a benchmark for evaluating audio language models on semantic reasoning tasks including entailment, consistency, plausibility, accent drift, and accent restraint across diverse domains and accents.
Researchers present SemanticQA, a benchmark for evaluating language models on semantic phrase processing tasks including idioms, noun compounds, and verbal constructions, revealing significant performance variation across model architectures and scales on semantic reasoning tasks.