Pietro Lesci
pietrolesci
AI & ML interests
I like developing and applying causal methods to study the effect of training choices on models’ behaviour, including memorisation, shortcut learning, and tokenisation.
Recent Activity
updated
a model
5 days ago
pietrolesci/small_unigramlm128k
updated
a collection
5 days ago
UnimixLM
published
a model
5 days ago
pietrolesci/small_unigramlm128k
Organizations
A curated collection of machine translation datasets
A curated collection of datasets used in Dialogue State Tracking research
Artefacts for the paper "AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets" (Lesci and Vlachos, 2024)
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AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Paper • 2404.05623 • Published • 3 -
pietrolesci/anchoral-paper-artefacts
Viewer • Updated • 2.78M • 55 -
pietrolesci/amazoncat-13k
Viewer • Updated • 5.99M • 120 • 1 -
pietrolesci/wikitoxic
Viewer • Updated • 894k • 108 • 1
A curated collection of machine translation datasets
A curated collection of common datasets for text classification
A curated collection of datasets used in Dialogue State Tracking research
A curated collection of NLI evaluation datasets. Each dataset is exactly as originally proposed
Artefacts for the paper "AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets" (Lesci and Vlachos, 2024)
-
AnchorAL: Computationally Efficient Active Learning for Large and Imbalanced Datasets
Paper • 2404.05623 • Published • 3 -
pietrolesci/anchoral-paper-artefacts
Viewer • Updated • 2.78M • 55 -
pietrolesci/amazoncat-13k
Viewer • Updated • 5.99M • 120 • 1 -
pietrolesci/wikitoxic
Viewer • Updated • 894k • 108 • 1
Artefacts for the paper "Causal Estimation of Memorisation Profiles" (Lesci et al., 2024)