AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 4 of 18 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 work presents VideoXAgent, a purely online video-agent harness for long video understanding that starts from the given video file and user query, plans and decomposes the task, invokes specialized expert tools on demand, and aggregates multimodal evidence to produce a final answer while resolving conflicts among o...
Streaming video understanding requires Vision Language Models (VLLMs) to process growing video streams and answer user questions under tight latency constraints. Existing methods improve efficiency through token pruning and memory-bank schemes, but mainly reduce visual tokens after visual encoding. Consequently, downst...
KV-Skill is introduced, a design space of external factorized operators that a frozen language model reads through a lightweight interface that shows that task knowledge can be acquired from text or experience, compressed into an external operator, and deployed separately from the backbone.
We present MOSS-VL, an open vision-language model family that treats real-time interaction -- perceiving while it speaks -- as a first-class capability. It is co-designed across the stack: the language decoder attends to vision only through gated cross-attention, so the model can naturally see incoming frames while gen...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.