A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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A comprehensive survey of techniques, enhancements, and applications for training small language models from scratch in resource-limited settings, including collaboration with large language models.
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MultiagentBench is a benchmark for evaluating LLM agents in multi-agent collaboration and competition scenarios.
Jintian Zhang, Xin Xu, Ningyu Zhang, et al.
This paper explores collaboration mechanisms among LLM agents by simulating four distinct societies, revealing how they leverage social psychology principles to navigate tasks.
Micah Sheller, Brandon Edwards, G. Anthony Reina, et al.
Federated learning enables multi-institutional medical collaborations without sharing patient data, achieving 99% of centralized model quality across 10 institutions.