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cs.LG2024★ 1 cited
PersonalLLM: Tailoring LLMs to Individual Preferences
Thomas P. Zollo, Andrew Wei Tung Siah, Naimeng Ye +2
As LLMs become capable of complex tasks, there is growing potential for personalized interactions tailored to the subtle and idiosyncratic preferences of the user. We present a pub…
stat.ML2024
Exchangeable Sequence Models Quantify Uncertainty Over Latent Concepts
Naimeng Ye, Hongseok Namkoong
Intelligent agents must be able to articulate its own uncertainty. In this work, we show that pre-trained sequence models are naturally capable of probabilistic reasoning over exch…