Automating Multi-Agent Workflows with Agent Recommendations
Discover how automated agent recommendation frameworks streamline multi-agent system workflows, boosting efficiency, scalability, and execution accuracy.
Contextual Multi-Objective Optimization in Frontier AI Systems
Explore how contextual multi-objective optimization improves AI decision-making by balancing complex, context-dependent goals in advanced frontier systems.
QKVShare: Fast Quantized KV-Cache Handoff for On-Device LLMs
Discover QKVShare, a framework for efficient quantized KV-cache handoff that boosts multi-agent on-device LLM speed and reduces latency significantly.
EvoLM: Self-Evolving Language Models Without Supervision
Discover EvoLM, a self-evolving language model that improves autonomously using co-evolved discriminative rubrics, outperforming GPT-4.1 on benchmarks.
Quantifying Visual Exposome Impact with Vision Language Models
Discover how vision language models quantify the human visual exposome to reveal its impact on mental health and emotional well-being.