AI
SDAD: Spec-Driven Agentic Development for the AI-Native SDLC
Researchers have proposed a new approach to software development called Spec-Driven Agentic Developm...
AI
PrimeAgentOrchestrator: Memory-Primed Agent Spawning for Personal AI Infrastructure
Researchers from Peak Summit Labs have developed PrimeAgentOrchestrator (PAO), a system for spawning...
AI
Truth Lies Deep: Countering Semantic Camouflage via Latent Intent Verification
Researchers have identified a vulnerability in Large Language Models (LLMs) that allows them to bypa...
AI
A Survey on Foundations and Frontiers of Multimodal Agentic Frameworks: Techniques and Applications
A survey of multimodal agentic frameworks has been published on arXiv. These systems combine large l...
AI
Interpretable Multimodal Classification with Linear Discriminant Tree Ensembles
Researchers have developed a framework for multimodal classification that balanc...
AI
Representation Affects Retrieval: A Case Study of Skill Discovery and Routing in a Multimodal Agent Harness
Researchers from Tinycloud presented a case study on how their production multim...
AI
Nexus: Depth-Adaptive KV-Cache Splicing and Retrieval-Decoupled Tool Routing for Agentic LLMs on Unified Memory
Researchers have developed a new system called Nexus that improves the performan...
AI
Environmental Slow AI: Design Principles for Generative Systems
Researchers propose a new approach to designing generative AI systems, called Sl...