Silvia Terragni's starred repositories
contextualized-topic-models
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).
plip
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
vision-language-models-are-bows
Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023
clip-italian
CLIP (Contrastive Language–Image Pre-training) for Italian
sandbox-conversant-lib
Conversational AI tooling & personas built on Cohere's LLMs
nlg-metricverse
[COLING22] An End-to-End Library for Evaluating Natural Language Generation
twitter-demographer
A python package to enrich Twitter Data
evalRS-CIKM-2022
Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems
safety-tuned-llamas
ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
topic-labeling
The project proposes a framework to apply topic models on a text-corpus and eventually topic labels on the generated topics.
prompt-based-user-simulator
In-Context Learning User Simulators for Task-Oriented Dialog Systems
BART-TL-topic-label-generation
Implementation and helper scripts for the BART-TL model - https://www.aclweb.org/anthology/2021.eacl-main.121/