Foundation-model agents
PulseAugur coverage of Foundation-model agents — every cluster mentioning Foundation-model agents across labs, papers, and developer communities, ranked by signal.
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LLM agents face 'sim-to-real' gap, mirroring RL challenges, says ASU professor
Hua Wei, an assistant professor at Arizona State University, argues that the current challenges faced by large language model (LLM) agents in real-world applications mirror the "sim-to-real" gap encountered in tradition…
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New RAG method improves agent persuasion by decoupling logic from topic
Researchers have developed a new method called Taxonomic Strategy Retrieval (TS-RAG) to address compounding failures in foundation model agents, particularly in subjective tasks like persuasion. Standard Retrieval-Augme…
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New MARGIN method calibrates foundation model agents in real-time
Researchers have developed MARGIN, a new online calibration method designed to improve the trustworthiness of foundation model agents in multi-agent systems. Unlike traditional methods that require model access and fixe…