Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

michelalorandi/D2T-Gen-for-Under-Res-Lang-w-LLMs

Domain:

natural language processing

Record type:

paper
Creator:
mic
Host:
Repository for the paper "High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models" # High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models Repository for the paper "High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models"

Visit

github.com

Tasks

data to textnatural language generation

Licenses

MIT