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Tom Rainforth

BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design

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Aug 28, 2025
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Scaling Up Active Testing to Large Language Models

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Aug 12, 2025
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Prediction-Oriented Subsampling from Data Streams

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Aug 05, 2025
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Shh, don't say that! Domain Certification in LLMs

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Feb 26, 2025
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Rethinking Aleatoric and Epistemic Uncertainty

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Dec 30, 2024
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Making Better Use of Unlabelled Data in Bayesian Active Learning

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Apr 26, 2024
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Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

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Feb 07, 2024
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Rethinking Variational Inference for Probabilistic Programs with Stochastic Support

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Nov 01, 2023
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Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support

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Oct 23, 2023
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In-Context Learning in Large Language Models Learns Label Relationships but Is Not Conventional Learning

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Aug 07, 2023
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