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AdvantageFlow: Regularized Advantage-Weighted RL in Flow Models
The algorithm minimizes an advantage-weighted prediction loss, which maximizes reward, regularized by the rollout policy, which convexifies the objective and makes its optimization stable, and compares it to both forward- and reverse-process RL algorithms.
Looks the Same, Answers Differently: Flip-Direction Steering for Robust Vision-Language Reasoning
FlipDir (Flip-Direction Steering), a training-free inference-time method that estimates a low-rank flip-inducing activation subspace from contrastive pairs of original and answer-flipping inputs and selectively steers hidden states during decoding and consistently outperforms existing methods on the combined recovery a...