AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 4 of 55 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.
These findings provide functional support for the view that prototype-based categorization contributes to behavioral adaptability and show that transferring this representational principle to LLMs yields generalizable safety under adversarial conditions.
This paper introduces SafeAtlas-VL, a dataset of 1.5M training instances that places image-, request-, and response-level judgments on a five-level ordered scale, and trains the SafeAtlas Guard series of models via target-conditioned tuning for multimodal safety detection.
This Perspective proposes machine experientialism, positing that LLMs build their own form of understanding from training corpora, and shifts from cataloging LLMs’ human-like traits to uncovering their distinct logic that emerges from this text-based world.
This work proposes the Evolutionary Markov Hypergraph Attack (EMHA), a black-box policy that performs feedback-driven environment evolution by coordinating authorized state transitions without requiring parameter updates, and establishes OpenART as a scalable foundation for studying agent safety in complex, evolving en...
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.