SHAPE Framework Enhances LLM Reasoning Efficiency
Discover how the SHAPE framework boosts large language model reasoning with 3% accuracy gain and 30% less token use.
SubFLOT: Efficient Personalized Federated Learning via Optimal Transport
Discover SubFLOT, a novel framework enhancing federated learning efficiency and personalization using optimal transport and adaptive regularization techniq...
Logical Robots: Declarative Multi-Agent Programming in Logica
Explore Logical Robots, a declarative multi-agent programming framework in Logica for autonomous robotic systems and advanced multi-agent simulations.
CubeGraph: Fast Retrieval for Spatial & Temporal Data
Discover CubeGraph, an efficient retrieval-augmented generation system for fast, scalable spatial and temporal data queries with unified indexing.
Closing the Detection-Extraction Gap in AI Models
Discover how Black-box Adaptive Early Exit (BAEE) improves AI accuracy and efficiency by closing the detection-extraction gap in reasoning models.