AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
We have 4 of 22 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.
On-policy self-distillation (OPSD) uses a self-teacher conditioned on privileged information to turn the sparse outcome signal of reinforcement learning with verifiable rewards (RLVR) into dense token-level supervision. Yet the teacher's advantage may depend on information unavailable to the student at inference, raisi...
Criterion-Distilled Policy Optimization (CriPO), which enhances rubric-based RL via on-policy self-distillation via on-policy self-distillation, to simultaneously address both unexplored and suppressed criteria.
Optimus is a general-purpose model transformation framework built in the PyTorch 2.x (PT2) machine learning compiler that applies an efficient greedy search algorithm for pattern matching and replacement, while preserving model semantic.
By merging chemical heuristics with physical laws, DrugRPG effectively addresses the hallucination crisis, shifting generative SBDD from scoring-oriented optimization toward high-fidelity, realistic lead discovery.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.