AI
Task Specialization Fine-Tuning for Contextual Reinforcement Learning
Researchers have proposed a new approach to Contextual Reinforcement Learning (CRL), which involves ...
AI
Token Optimization and Context Window Management in Multi-Agent AI Workflows
Researchers have developed a framework to optimize token usage and context window management in mult...
AI
Graphectory Viewer: A Tool for Process-Centric Analysis of Agentic Software Trajectories
Researchers have developed a web-based tool called Graphectory Viewer for analyzing software-agent t...
AI
Teach and Grow: An Agent-Centered Architecture for General Robot Learning
Researchers have developed an agent-centered architecture for general robot learning called Teach-an...
AI
PACE: Policy-Attested Contract Execution for Safe AI Agents in Decentralized Finance
Researchers have developed a framework called PACE to ensure the safety of AI ag...
AI
Delta2Gamma: Band-Wise Adaptive Contrastive Learning of EEG for Alzheimer's Disease Detection
Researchers have developed a self-supervised framework called Delta2Gamma for de...
AI
COMIC: Reference-Aware Safety Gating for Multimodal Large Language Models
A new safety gate for multimodal large language models (MLLMs) called COMIC has ...
AI
Structural Plan-to-Model Conversion with Deterministic Geometry and Guarded Agentic Vision-Language Refinement
Researchers have developed a framework to convert structural framing plans into ...