Of Chains and Gains: What Reinforcement Learning changes on Reasoning-based Image Quality Assessment
Tests how image-quality scores depend on written reasoning and its hidden states before and after reinforcement learning. Chain swaps, filler controls and activation steering separate information that can be read from a state from information that affects the score.
First public: · Added to this list: November 2, 2026
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