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The University of Hong Kong
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Patents overselling their innovation actually face a *penalty* in evaluation, decreasing their chances of being granted, transferred, or successfully appealed.
Multi-turn RL agents can learn far more effectively by explicitly monitoring and controlling uncertainty at both the token and turn levels, leading to more stable training and higher performance.
