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Found 3 papers, 2 papers with code
Large Language Model-based Human-Agent Collaboration for Complex Task Solving
We construct a human-agent collaboration dataset to train this policy model in an offline reinforcement learning environment.
A Survey on Large Language Model based Autonomous Agents
In this paper, we present a comprehensive survey of these studies, delivering a systematic review of the field of LLM-based autonomous agents from a holistic perspective.
Fairness-aware Cross-Domain Recommendation
Cross-Domain Recommendation (CDR) is an effective way to alleviate the cold-start problem.
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