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Self-Agreement: A Framework for Fine-tuning Language Models to Find Agreement among Diverse Opinions
In this paper, we propose Self-Agreement, a novel framework for fine-tuning LLMs to autonomously find agreement using data generated by LLM itself.
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL
The necessity for cooperation among intelligent machines has popularised cooperative multi-agent reinforcement learning (MARL) in the artificial intelligence (AI) research community.
Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing Apps
How to contain the spread of the COVID-19 virus is a major concern for most countries.
Computers and Society Cryptography and Security 68P27 H.3.4
