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Researchers present ModeratorLM, a new speech large language model that decides when a voice assistant should speak in group conversations b
Researchers introduce EurekAgent, a system that helps large language model (LLM) agents do metric-driven scientific discovery by changing th
Researchers introduce a method to recover the mix of data domains that shaped a large language model (LLM) using only the text the model gen
This paper describes a weakness in the common method used to align large language models (LLMs) with human preferences. The method is called
Researchers show that human preference data collected from many people can hide common safety principles, and that those shared principles c
Particle physicists built a new neural network called PHAT-JeT to identify short-lived particle decays inside the flood of data produced at
This paper presents a real-world dataset intended to help machine learning for mobile networks. The authors collected radio and signaling da
This paper introduces Fast-Slow Training (FST), a way to make large language models adapt more quickly to tasks while keeping their general
This paper shows that for clinical large language models (LLMs) safety and accuracy do not always improve together. The authors introduce Sa
This paper tests whether AI agents built from large language models can pool private information by trading in a simple prediction market. T