Language models have seen significant growth in the size of their corpus, leading to notable
performance improvements. Yet, there has been limited progress in developing models that …

Much of the recent discourse within the NLP research community has been centered around
Large Language Models (LLMs), their functionality and potential--yet not only do we not …

Much of the recent discourse within the ML community has been centered around Large
Language Models (LLMs), their functionality and potential--yet not only do we not have a …

BabyBERTa, a language model trained on small-scale child-directed speech while none of
the words are unmasked during training, has been shown to achieve a level of …

Large language models can solve new tasks without task-specific fine-tuning. This ability,
also known as in-context learning (ICL), is considered an emergent ability and is primarily …

Prior research on Twitter (now X) data has provided positive evidence of its utility in
developing supplementary health surveillance systems. In this study, we present a new …

Iterative improvements from feedback is a general approach for many, if not all, successful
systems. Ground-truth-in-the-loop is critical. Language models (LMs) like ChatGPT are …

Résumé Nous sommes actuellement témoins d'une révolution technologique majeure,
potentiellement la plus significative de notre époque. En effet, le domaine du traitement du …

Résumé L'avènement des grands modèles de langage, tels que GPT-3, a non seulement
captivé l'attention du public, mais a également redéfini les frontières du possible dans la …