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Author

Zheda Mai

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Preprint Oct 2026

Mind the Tail: Data Selection Through Sparse Concepts

Data selection reallocates training support across visual concepts, including objects, attributes, color, texture, and backgrounds. Different allocation strategies may produce varied downstream model behavior, especially for tail concepts supported by only a few samples. Discarding them can hurt test-time robustness, w...

Zi-Heng Zhang, Neha Hulkund, Colin Lee et al. · 0 citations
Preprint Jul 2026

Agentic Context Learning with Self-Discovered Specification

The results suggest context learning hinges on not only content acquisition but also specification acquisition, and designs a deliberately simple intervention PSCI (private specification-contract induction) which extracts local specifications and enforces them through adversarial checking and repair.

Jike Zhong, Ming Li, Yuxiang Lai et al. · 1 citation

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