Scaling Laws for Optimizing RAG-Based Language Models
Explore how scaling pretraining and retrieval improves RAG language models for knowledge-intensive tasks with optimal data allocation strategies.
AutoEG: Automated Exploit Generation for Web Apps
Discover AutoEG, an automated system that generates reliable exploits for third-party vulnerabilities in black-box web applications with 82% success.
Adaptive Hint Learning for Enhanced Reinforcement Learning
Discover HiLL, a novel framework using adaptive hints to improve reinforcement learning by overcoming advantage collapse and boosting policy transfer.
Boost Agentic Web Speed with Internal Shadow APIs
Discover how internal shadow APIs and Unbrowse improve agent-web interactions, offering faster, efficient alternatives to browser-first architectures.
Procela: Adaptive Simulation Governance for Structural Uncertainty
Discover Procela, a Python framework enabling adaptive mechanistic simulations under structural uncertainty with improved accuracy and dynamic governance.