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RA-CFGCache: From Branch-Level Criteria to Guided-Risk Control under Classifier-Free Guidance

RA-CFGCache aligns caching risk with CFG branch errors and timestep propagation to improve diffusion model efficiency and fidelity.

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it

lenient 3/5

medium 8/10

strict 1/5

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NeurIPS 2026Tsinghua University, Tsinghua Xiaobing.AI Peking Advanced Micro Devices Tsinghua University, Microsoft Embodied agents

TaskGround: Structured Executable Task Inference for Full-Scene Household Reasoning

TaskGround grounds full household scenes into task-relevant slices to infer executable task structures, improving compact open-weight models' success rates by large margins over direct prompting while cutting token costs up to 18x.

ZhiYuan Feng, Yu Deng, Ruichuan An, Zhenhua Liu and 10 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it

lenient 5/5

medium 9/10

strict 3/5