Search Results for author:
Found 2 papers, 1 papers with code
BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models
As GPT-4 is purportedly one of the best-performing multilingual LLMs at the moment, we use it as a yardstick to gauge the capabilities of LLMs in the context of SEA languages.
Do pretrained transformers infer telicity like humans?
Pretrained transformer-based language models achieve state-of-the-art performance in many NLP tasks, but it is an open question whether the knowledge acquired by the models during pretraining resembles the linguistic knowledge of humans.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
