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Tim R. Davidson

2 accepted papers

2024

Self-Recognition in Language Models

EMNLP 2024finding

A rapidly growing number of applications rely on a small set of closed-source language models (LMs). This dependency might introduce novel security risks if LMs develop self-recognition capabilities. Inspired by human identity verification methods, we propose a novel approach for assessing self-reco…

2019

Reparameterizing Distributions on Lie Groups

AISTATS 2019poster

Reparameterizable densities are an important way to learn probability distributions in a deep learning setting. For many distributions it is possible to create low-variance gradient estimators by utilizing a ‘reparameterization trick’. Due to the absence of a general reparameterization trick, much r…