Gabriele Sarti | Gabriele Sarti

Latest

Explaining Language Models with Inseq
Post-hoc Interpretability for Language Models
DecoderLens: Layerwise Interpretation of Encoder-Decoder Transformers
Quantifying the Plausibility of Context Reliance in Neural Machine Translation
Post-hoc Interpretability for NLG & Inseq: an Interpretability Toolkit for Sequence Generation Models
Post-hoc Interpretability for Neural Language Models
Explaining Neural Language Models from Internal Representations to Model Predictions
RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation
Post-hoc Interpretability for Neural Language Models
Inseq: An Interpretability Toolkit for Sequence Generation Models
Advanced XAI Techniques and Inseq: An Interpretability Toolkit for Sequence Generation Models
Introducing Inseq: An Interpretability Toolkit for Sequence Generation Models
Are Character-level Translations Worth the Wait? Comparing Character- and Subword-level Models for Machine Translation
Inseq: An Interpretability Toolkit for Sequence Generation Models
Inseq: An Interpretability Toolkit for Sequence Generation Models
Towards User-centric Interpretability of Machine Translation Models
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse Languages
Towards User-centric Interpretability of NLP Models
IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation
Empowering Human Translators via Interpretable Interactive Neural Machine Translation
Characterizing Linguistic Complexity in Humans and Language Models
Contrastive Language-Image Pre-training for the Italian Language
Contrastive Image-Text Pretraining for Italian
Teaching NLP with Bracelets and Restaurant Menus: An Interactive Workshop for Italian Students
That Looks Hard: Characterizing Linguistic Complexity in Humans and Language Models
Interpreting Neural Language Models for Linguistic Complexity Assessment
UmBERTo-MTSA@ AcCompl-It: Improving Complexity and Acceptability Prediction with Multi-task Learning on Self-Supervised Annotations
ETC-NLG: End-to-end Topic-Conditioned Natural Language Generation
ICLR 2020 Trends: Better & Faster Transformers for Natural Language Processing
Covid-19 Semantic Browser
Neural Language Models: the New Frontier of Natural Language Understanding
The Literary Ordnance: When the Writer is an AI
AItalo Svevo: Letters from an Artificial Intelligence
Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Histopathologic Cancer Detection with Neural Networks
Probing Linguistic Knowledge in Italian Neural Language Models across Language Varieties