AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The results provide preliminary causal evidence for localizing the internal computations that support exact bar-value reading in Qwen2.5VL-7B-Instruct and InternVL3.5-8B.
Observation-Aligned Supervision is proposed, which replaces latent variables with visually constrained quantities and improves observable-value recovery in both-executable evaluations and end-to-end recovery, while the contour study reveals a trade off between observation alignment and representational compactness.
CurateEvo, a failure-driven dynamic evolution framework for agentic post-training data curation, which represents the curation strategy as executable code and iteratively rewrites it using failed trajectories from a held-out development set and substantially reduces curation overhead.
An automated TCS research framework that generates, formalizes, filters, and proves new claims, and further develops an automated TCS research framework that generates, formalizes, filters, and proves new claims.
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