Skip to content
View LoryPack's full-sized avatar
27 followers · 3 following

Achievements

Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex2Achievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Highlights

  • Pro

Organizations

@NeuralLikelihoodFreeInference @Kinds-of-Intelligence-CFI

Block or report LoryPack

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
LoryPack/README.md

Hi there 👋

I am a Research Associate at the Leverhulme Centre for the Future of Intelligence at the University of Cambridge, where I work on predictability and cognitive-oriented evaluation of AI systems, together with Prof José Hernández-Orallo and Dr Lucy Cheke.

I previously worked on detecting lying in large language models with Dr Owain Evans and on technical standards for AI for the EU AI Act at the Future of Life Institute. I am deeply interested in AI policy (particularly at the EU level).

I obtained a PhD in Statistics and Machine Learning at Oxford, during which I worked on Bayesian simulation-based inference, generative models and probabilistic forecasting (with applications to meteorology). My supervisors were Prof. Ritabrata Dutta (Uni. Warwick) and Prof. Geoff Nicholls (Uni. Oxford).

Before my PhD studies, I obtained a Bachelor's degree in Physical Engineering from Politecnico di Torino (Italy) and an MSc in Physics of Complex Systems from Politecnico di Torino and Université Paris-Sud, France. I carried out my MSc thesis at LightOn, a machine learning startup in Paris.

Pinned Loading

  1. LLM-LieDetector LLM-LieDetector Public

    Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"

    Jupyter Notebook 63 9

  2. eth-cscs/abcpy eth-cscs/abcpy Public

    ABCpy package

    Python 113 34

  3. BPMF BPMF Public

    Python implementation of Bayesian Probabilistic matrix Factorization algorithm.

    Jupyter Notebook 24 11

  4. GenerativeNetworksScoringRulesProbabilisticForecasting GenerativeNetworksScoringRulesProbabilisticForecasting Public

    Code for the paper "Probabilistic Forecasting with Generative Networks via Scoring Rule Minimization"

    Python 8 2

  5. ReferenceInstancesPredictability ReferenceInstancesPredictability Public

    Code for the paper "100 instances is all you need: predicting the success of a new LLM on unseen data by testing on a few instances"

    Jupyter Notebook 1

  6. Kinds-of-Intelligence-CFI/KindsOfReasoning Kinds-of-Intelligence-CFI/KindsOfReasoning Public

    KindsOfReasoning collection of datasets and results

    Jupyter Notebook 1 1