Papers by Asuman E. Ozdaglar

1 papers
MAPoRL: Multi-Agent Post-Co-Training for Collaborative Large Language Models with Reinforcement Learning (2025.acl-long)

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Challenge: Existing studies focus on prompting and developing workflows with frozen LLMs.
Approach: They propose a multi-agentic framework for collaborative LLMs with reinforcement learning that leverages multi-gendered frameworks to enhance collaboration.
Outcome: The proposed model improves collaboration performance across multiple datasets with generalization to unseen domains compared to existing models.

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