activity
20192023
most citedMEDITRON-70B: Scaling Medical Pretraining for Large Language Models

123 citations · 126 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL2023123 cited

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Zeming Chen, Alejandro Hernández Cano, Angelika Romanou +17

Large language models (LLMs) can potentially democratize access to medical knowledge. While many efforts have been made to harness and improve LLMs' medical knowledge and reasoning…

cs.CL20223 cited

Multilingual Auxiliary Tasks Training: Bridging the Gap between Languages for Zero-Shot Transfer of Hate Speech Detection Models

Syrielle Montariol, Arij Riabi, Djamé Seddah

Zero-shot cross-lingual transfer learning has been shown to be highly challenging for tasks involving a lot of linguistic specificities or when a cultural gap is present between la…

cs.CL2020

Capturing Evolution in Word Usage: Just Add More Clusters?

Matej Martinc, Syrielle Montariol, Elaine Zosa +1

The way the words are used evolves through time, mirroring cultural or technological evolution of society. Semantic change detection is the task of detecting and analysing word evo…

cs.CL2019

Empirical Study of Diachronic Word Embeddings for Scarce Data

Syrielle Montariol, Alexandre Allauzen

Word meaning change can be inferred from drifts of time-varying word embeddings. However, temporal data may be too sparse to build robust word embeddings and to discriminate signif…

cs.CL2019

Learning dynamic word embeddings with drift regularisation

Syrielle Montariol, Alexandre Allauzen

Word usage, meaning and connotation change throughout time. Diachronic word embeddings are used to grasp these changes in an unsupervised way. In this paper, we use variants of the…

cs.CL2019

Exploring sentence informativeness

Syrielle Montariol, Aina Garí Soler, Alexandre Allauzen

This study is a preliminary exploration of the concept of informativeness -how much information a sentence gives about a word it contains- and its potential benefits to building qu…