AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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FinancialAuditBench is introduced, a benchmark for evaluating agents on financial statement audit tasks, along with a framework for systematically generating synthetic engagements for model evaluation and training in privacy-sensitive domains.
V-Steer, a training-free inference time method that restores privileged influence by editing cached value vectors at prompt positions, is introduced, a training-free inference time method that restores privileged influence by editing cached value vectors at prompt positions.
ReasoningFlow is introduced, a framework that captures the discourse structures of LRM reasoning traces into fine-grained directed acyclic graphs (DAGs) and reveals diverse fine-grained reasoning behaviors that can be used for better reasoning trace monitorability.
The MineCEraft benchmark comprises 723 domain-expert hand-crafted natural-language instructions with programmatically verifiable evaluation, providing a safe and controllable experimental environment for assessing LLMs'ability to perform realistic construction engineering tasks.
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