AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Learning from interaction experience is essential for enabling large language models to continually improve during deployment. Context distillation offers a promising path: privileged information extracted from experience is provided to a teacher, whose behavior is then distilled into a student model that has no access...
XRepoSkill, a trajectory-based approach for learning transferable skills that achieves the highest issue resolution rate in all six benchmark--LLM combinations, and is evaluated on the challenging long-horizon DeepSWE benchmark.
Tencent WorkBuddy Bench is introduced, a multi-domain evaluation suite for coding agents, and its construction methodology, scoring protocol, and a cross-model leaderboard are documents, with a cross-model leaderboard across several model families.
This position paper argues that to claim a "long-horizon failure", benchmarks must compare actual full-task success against a baseline prediction built from short, individual stages, and calls the log-ratio between this prediction and actual success the horizon residual.
Unified On-Policy Self-Distillation (USD), a lightweight online algorithm to solve the Lagrangian, reveals that a single dual variable governs both decisions: at one price for learning difficulty, it simultaneously sets the token-selection threshold and the direction of privileged-information adjustment, keeping superv...
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