Topic: transfer learning

Researchers from the University of Ottawa developed a system using transfer learning and large language models to improve Named Entity Recognition for Classical Latin, leveraging modern technological advancements to enhance ancient language studies. This work is significant as it opens new avenues for analyzing digitized classical texts.

arxiv.org↗

The choice of large language model (LLM) backbone significantly impacts vision-language model (VLM) performance but lacks clear guidelines, as existing compute-based scaling laws do not reliably predict VLM success across different model families.

arxiv.org↗