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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 OCLGen, a compute-efficient test-time search algorithm that integrates generative planning models with a classical Open-Closed List framework, improving solution quality across combinatorial planning domains.