We have 3 of 50 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
.
A systematic evaluation of both extractive methods based on sentence ranking and an abstractive approach using a fine-tuned mT5-base model for Azerbaijani text summarization yields strong results that highlight the benefits of task specific fine-tuning for abstractive summarization, while also demonstrating the competi...
Evaluating nine open-weight and commercial LLMs, it is found that no open-weight model covers the EU-24 well: in every official language both commercial systems outscore every open-weight model, and the two weakest average below 40 points across the EU-24.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
