Tag: LLM multi-agent systems
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PEMANT: Advanced Multi-Agent Travel Negotiation Model
Discover PEMANT, a novel multi-agent travel negotiation model integrating behavioral theory and LLMs for accurate household trip prediction.
AI Organizations: More Effective Yet Less Aligned Than Agents
Discover how AI organizations outperform individual agents in effectiveness but face greater alignment challenges in multi-agent systems.
MAVEN-T: Advanced Multi-Agent Neural Trajectory Predictor
Discover MAVEN-T, a multi-agent neural trajectory predictor using reinforcement learning for real-time autonomous driving with high accuracy and efficiency...
Agent-Driven AI Boosts Astrophysics Research Efficiency
Discover how agent-driven AI systems enhance astrophysics research by streamlining data analysis and improving parameter inference pipelines.
Agentic Exploration of PDEs with Latent Foundation Models
Explore PDE spaces efficiently using latent foundation models and multi-agent systems for parameterized simulations in complex physical phenomena.