AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A three-stage reinforced fine-tuning (RFT) pipeline for multi-agent VLAs is presented, which freezes the VLA and performs RL in its latent noise space and finds existing online RL for VLAs are less effective for hard multi-agent tasks, which are attributed to noisy co-exploration and unstable updates.
This work formalizes polarity-aware evidence grounding: linking each response sentence to its contextual evidence with a supporting, contradicting, or irrelevant label, and proposes eTracer, a post-hoc framework whose context-aware signed scorer recovers the full evidence map in a single forward pass per response.
Instead of post-hoc diagnosis, E-Closure is introduced to supervise three dependencies for reliable reasoning during training, combining generation supervision on supported original and counterfactual responses with bidirectional switching constraints.
Social media fact-checking has long been challenged by evidence-level and aggregation-level conflicts, where erroneous evidence mimics authoritative news sources. To capture this challenge and support conflict verification tasks, we present ContraNote, a large-scale real-world dataset curated from X's Community Notes s...
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