AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work introduces a multi-level evaluation built on existing, verifiable tasks, and shows why ToM evaluation must connect perspective inference to independently verified decisions and task consequences.
Knowing when they are reliable is essential for language models to support human-AI collaboration. Yet interaction feedback is not always complete or correct, and may mislead models'understanding of their own capabilities. We introduce LADDER to study how language models assess themselves under unreliable feedback. Our...
On-policy distillation (OPD) improves a student language model by training on its own generated trajectories with supervision from a stronger teacher. However, when conditioned on student-generated prefixes, the teacher can favor invalid continuations that violate the question's premises, causing OPD to encourage erron...
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