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Spectral Prior for Reducing Exposure Bias in Diffusion Models

To address the issue of exposure bias in diffusion models—caused by error accumulation and frequency-dependent SNR discrepancies during iterative sampling—the researchers propose Spectral Alignment (SPA). The authors ide…

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Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems

The paper introduces Agentic Context Management (ACM) as a framework to address the failure modes of production AI agents, which often stem from inefficient management of conversation histories, tool definitions, and exp…

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Closing the Loop: Training-Free Revisit Consistency for Autoregressive Generative Rendering

To address the challenge of revisit inconsistency in autoregressive generative rendering, researchers have introduced a training-free method designed to maintain 3D world persistence during long-horizon video synthesis. …

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