Lifted State Policy Optimization: Internalizing Self-Correction through Transition Geometry
LSPO is introduced, which establishes this finite, cost-adjusted transition as the primary unit of learning, and each textual answer is augmented with a learned continuous coordinate, forming a lifted state that an energy function evaluates and orders.
Ren Zhuang, Ben Wang, Shui-Fa Sun
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