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Identity drift in generative agents reveals that anti-self-deception is a dominant modification behavior, challenging assumptions about agent fidelity under pressure.
Train smarter, not harder: DSL unlocks 4x faster non-autoregressive generation by teaching masked diffusion models to self-correct more efficiently.