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Yanfang Zhou

2 accepted papers

2025

M2PA: A Multi-Memory Planning Agent for Open Worlds Inspired by Cognitive Theory

ACL 2025finding

Open-world planning poses a significant challenge for general artificial intelligence due to environmental complexity and task diversity, especially in long-term tasks and lifelong learning. Inspired by cognitive theories, we propose M2PA, an open-world multi-memory planning agent. M2PA innovates by…

Cited by 0SourcePDFScholar
2025

Metagent-P: A Neuro-Symbolic Planning Agent with Metacognition for Open Worlds

ACL 2025finding

The challenge of developing agents capable of open-world planning remains fundamental to artificial general intelligence (AGI). While large language models (LLMs) have made progress with their vast world knowledge, their limitations in perception, memory, and reliable reasoning still hinder LLM-base…

Cited by 0SourcePDFScholar