Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866909090768224256 |
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| author | Kahana, Adar Mathew, Jaya Susan Bleik, Said Reynolds, Jeremy Elisha, Oren |
| author_facet | Kahana, Adar Mathew, Jaya Susan Bleik, Said Reynolds, Jeremy Elisha, Oren |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_01065 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer Kahana, Adar Mathew, Jaya Susan Bleik, Said Reynolds, Jeremy Elisha, Oren Computation and Language Artificial Intelligence 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. |
| title | Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer |
| topic | Computation and Language Artificial Intelligence |
| url | https://arxiv.org/abs/2402.01065 |