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#machine learning Preprint Oct 2026

HarnessTTT: Learn to Optimize Harness at Test-Time for Scientific Discovery

Scientific discovery with language models requires finding the best valid solution within a finite computational budget. We study how feedback from this search can improve the procedure used to conduct it. We introduce HarnessTTT, a test-time learning framework that trains a harness proposer while keeping the executor...

Ying-Zi Ma, Yu-Long Cao, Nanxi Li et al. · 0 citations
Review Sep 2026

EvoSafeHarness: Evolving Model- and Domain-Specific Harnesses for Securing Agents

EvoSafeHarness is a safety-specific optimization framework that synthesizes a deployable harness for a frozen model in a target domain, guided by model behavior, domain specifications, and fresh-context adversarial review to reject benchmark-specific rules.

Nanxi Li, Ying-Zi Ma, Yu-Long Cao et al. · 4 citations · ⚡1

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