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Chun-Liang Li

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#artificial intelligence Preprint Sep 2026

AIM: Agentic Idea Management for Automated Research

It is shown that explicit idea-level allocation makes semantic coverage directly controllable, and that broader coverage becomes increasingly valuable when competitive research directions are sparse among many plausible alternatives.

Hyeong Kyu Choi, Bhavana Dalvi, Jie-Feng Chen et al. · 0 citations
#artificial intelligence Review Sep 2026

PreviewDiff: Multimodal Critic-Guided Search over Diffusion Latents

Diffusion models can produce striking images and videos, but they still struggle with the compositional details that make a generation faithful to a prompt, such as object counts, attribute binding, spatial relations, and temporally grounded actions. A common way to improve prompt satisfaction is to spend more compute...

Vighnesh Subramaniam, B. Katz, Brian Cheung et al. · 0 citations

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