AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 4 of 29 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
This paper proposes PACE, a two-stage framework that progressively expands both the representation and trainable parameter spaces, and introduces Focal Embedding Loss, a confidence-adaptive objective that downweights queries with high positive retrieval confidence while emphasizing ambiguous queries with competitive ne...
Recent video diffusion models have achieved remarkable generation quality, but high-fidelity results still largely depend on closed-source systems or costly large-scale infrastructure. Test-time scaling (TTS) offers a training-free way to improve lightweight generators by spending additional inference compute, yet exis...
The core of D2-ScaleAgent is a Verifier agent-driven dynamic routing loop based on the intrinsic difficulty of the query, centered around a continuously updated evidence bank that serves as the agent's dynamic working memory.
This work introduces OvisOCR2, a 0.8B document parsing model designed as an end-to-end parser that combines filtered real-document annotations with synthetic pages whose rendered images and Markdown targets are derived from the same HTML source.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.