UCE builds a typed, evolving library of Memory, Strategy, Workflow and Skill units from agent trajectories, improving ALFWorld success from 75.4% to 96.3% and WebShop score from 45.1% to 61.3% while transferring to new actor models.
AgentsCoMerge: large language model empowered collabo- rative decision making for ramp merging
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A survey that maps risks along the agent workflow and consolidates metrics and benchmarks for safety, robustness, privacy, and security in agentic AI.
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Unified Context Evolution for LLM Agents
UCE builds a typed, evolving library of Memory, Strategy, Workflow and Skill units from agent trajectories, improving ALFWorld success from 75.4% to 96.3% and WebShop score from 45.1% to 61.3% while transferring to new actor models.