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A Process-aware Language Cognitive Diagnosis (PLCD) framework that uses language-derived structures as cognitive priors and response records to calibrate student posterior states is proposed, suggesting that structured language priors calibrated by response records can improve cold-start robustness and cognitive ground...
This work introduces ENOUGH, a method that iteratively appends behavioral records or emits STOP to construct profiles with adaptive lengths, which consistently outperforms strong heuristic and retrieval-augmented baselines in both effectiveness and efficiency.
Experiments on real-world live-stream risk-control data validate the effectiveness of LiveSim in improving user-level behavioral fidelity and enabling ecosystem-level analysis of risk evolution and platform intervention effects.
ZenGen, an integrated framework for measuring, internalizing, and grounding social intelligence, and Actio, a harness-controlled inference architecture that routes four typed supports into reasoning demonstrate the effectiveness of typed runtime support.
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