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HybridSFT
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- 19 OctHybridReasoning Agents blend latent thinking with text-based actions
Researchers propose HybridAgent, an architecture that lets agents alternate between latent-space reasoning and text actions while keeping tool access and inspectability. Evaluated across scales and 11 benchmarks, HybridAgent reportedly improves performance by 10.4% and reduces token usage by 35.5%–54.7% compared with prior agent methods.
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