AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 4 of 34 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.
Reward post-training of flow models either reweights the model's own samples under a KL penalty or a frozen reference, often for thousands of updates, or backpropagates the reward and moves every sample without checking that the move is worth its size. We introduce MEND, a reinforcement learning method built on proxima...
Image compression, restoration, and generation all require a way to measure how different two images look to a person. Pixel error ignores how people see, while the most accurate perceptual distances are typically fitted to human judgments, tying them to a fixed data and resolution. For example, when image resolution i...
CinematicVQA is introduced, the first-of-its-kind benchmark for cinematic video understanding that goes beyond technique recognition to evaluate film-grammar reasoning, utilizing the introduced Cinematic Scene Graph (CSG), a structured representation that links filming techniques to their perceptual effects and narrati...
This work introduces RUTA, a principled Rate-Utility Token Allocation method that performs pre-LLM reduction by jointly learning which tokens to retain and how many to allocate to each image-query pair, and is optimized with a penalized rate-utility objective that balances downstream task loss against expected token us...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.