English

Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer

Computation and Language 2024-02-05 v1 Artificial Intelligence

Abstract

With the widespread adoption of Large Language Models (LLMs), in this paper we investigate the multilingual capability of these models. Our preliminary results show that, translating the native language context, question and answer into a high resource language produced the best results.

Keywords

Cite

@article{arxiv.2402.01065,
  title  = {Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer},
  author = {Adar Kahana and Jaya Susan Mathew and Said Bleik and Jeremy Reynolds and Oren Elisha},
  journal= {arXiv preprint arXiv:2402.01065},
  year   = {2024}
}
R2 v1 2026-06-28T14:35:19.754Z