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cs.AI2026
Subliminal Transfer of Unsafe Behaviors in AI Agent Distillation
Jacob Dang, Brian Y. Xie, Omar G. Younis
Recent work on subliminal learning demonstrates that language models can transmit semantic traits through data that is semantically unrelated to those traits. However, it remains u…
cs.AI2026
CUBE: A Standard for Unifying Agent Benchmarks
Alexandre Lacoste, Nicolas Gontier, Oleh Shliazhko +23
The proliferation of agent benchmarks has created critical fragmentation that threatens research productivity. Each new benchmark requires substantial custom integration, creating…