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02/15/2023
Augmented Language Models: a Survey
This survey reviews works in which language models (LMs) are augmented w...
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02/09/2023
Toolformer: Language Models Can Teach Themselves to Use Tools
Language models (LMs) exhibit remarkable abilities to solve new tasks fr...
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09/27/2022
EditEval: An Instruction-Based Benchmark for Text Improvements
Evaluation of text generation to date has primarily focused on content c...
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08/05/2022
Few-shot Learning with Retrieval Augmented Language Models
Large language models have shown impressive few-shot results on a wide r...
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07/08/2022
Improving Wikipedia Verifiability with AI
Verifiability is a core content policy of Wikipedia: claims that are lik...
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01/16/2020
Masking schemes for universal marginalisers
We consider the effect of structure-agnostic and structure-dependent mas...
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10/16/2019
Universal Marginaliser for Deep Amortised Inference for Probabilistic Programs
Probabilistic programming languages (PPLs) are powerful modelling tools ...
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11/12/2018
Universal Marginalizer for Amortised Inference and Embedding of Generative Models
Probabilistic graphical models are powerful tools which allow us to form...
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07/01/2018
Antithetic and Monte Carlo kernel estimators for partial rankings
In the modern age, rankings data is ubiquitous and it is useful for a va...
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07/16/2014
