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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Shi-Ming Liu

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Open access Oct 2026

Less Is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection.

To develop a trustworthy AI system, it is essential to understand its behavior using attribution methods, which aim to identify the input regions that most influence the model's decisions. For discrete inputs such as images, however, accurately identifying input prediction interactions is particularly challenging becau...

Ruo-Yu Chen, Si-Yuan Liang, Jing-Zhi Li et al. · 7 citations
Preprint Oct 2026

To Route or to Adapt? Multi-Expert Diffusion Planners in Unseen Regions

Diffusion trajectory planners with domain-specific experts face a practical question in unseen regions: can they rely on selecting among existing experts, or must the planner itself adapt? We study this question using a planner with a shared adapter and per-domain expert adapters. Across three real-world held-out maps,...

Yun Li, Ehsan Javanmardi, Simon Thompson et al. · 0 citations

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