Tag: LLM agents
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Self-Adaptive Hierarchical Planning for Efficient LLM Agents
Discover AdaPlan-H, a self-adaptive hierarchical planning method that improves LLM agents' task execution by balancing coarse and fine planning.
AgentMark: Utility-Preserving Behavioral Watermarking for AI Agents
Discover AgentMark, a novel framework embedding watermarks in AI agents' planning behaviors without impacting performance or utility.
Falsification-First Approach for AI-Driven Science
Adopt adversarial experiments and critical evaluation to ensure credible AI-assisted scientific research and prevent misleading claims.
EvoAgent: Advanced Skill Learning & Multi-Agent Delegation
Discover EvoAgent, an evolvable AI framework with structured skill learning and hierarchical multi-agent delegation for enhanced task performance.
Architectural Scaffolding Boosts Causal Reasoning in LLMs
Discover how architectural scaffolding enhances causal reasoning and hypothesis-space restructuring in LLM agents for improved AI problem-solving.