Tag: adversarial machine learning
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ToolPRM: Advanced Inference Scaling for Function Calling
Discover ToolPRM, a fine-grained inference scaling method improving AI function calling accuracy and reliability in structured outputs.
Explainable Finite-Memory POMDP Policies via Decision Trees
Discover how decision trees enhance explainability and simplify finite-memory policies for POMDPs, improving AI decision-making in uncertain environments.
TIDE: Cross-Architecture Distillation for Efficient dLLMs
Discover TIDE, a novel framework enabling efficient cross-architecture distillation to optimize diffusion large language models with fewer resources.
Causal Learning with Neural Assemblies: DIRECT Mechanism
Discover how neural assemblies and the DIRECT mechanism enable transparent causal learning, advancing AI and neuroscience research.
ClawGym: Scalable Framework for Effective Claw Agents
Discover ClawGym, a scalable framework for building and evaluating effective Claw agents with synthetic data, model training, and benchmarks.