L3Cube-IndicQuest: A Benchmark Question Answering Dataset for Evaluating Knowledge of LLMs in Indic Context
Pritika Rohera, Chaitrali Ginimav, Akanksha Salunke, Gayatri Sawant, Raviraj Joshi
- Anthology ID:
- 2024.paclic-1.93
- Volume:
- Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
- Month:
- December
- Year:
- 2024
- Address:
- Tokyo, Japan
- Editors:
- Nathaniel Oco, Shirley N. Dita, Ariane Macalinga Borlongan, Jong-Bok Kim
- Venue:
- PACLIC
- SIG:
- Publisher:
- Tokyo University of Foreign Studies
- Note:
- Pages:
- 982–988
- Language:
- URL:
- https://preview.aclanthology.org/fix-sig-urls/2024.paclic-1.93/
- DOI:
- Cite (ACL):
- Pritika Rohera, Chaitrali Ginimav, Akanksha Salunke, Gayatri Sawant, and Raviraj Joshi. 2024. L3Cube-IndicQuest: A Benchmark Question Answering Dataset for Evaluating Knowledge of LLMs in Indic Context. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, pages 982–988, Tokyo, Japan. Tokyo University of Foreign Studies.
- Cite (Informal):
- L3Cube-IndicQuest: A Benchmark Question Answering Dataset for Evaluating Knowledge of LLMs in Indic Context (Rohera et al., PACLIC 2024)
- PDF:
- https://preview.aclanthology.org/fix-sig-urls/2024.paclic-1.93.pdf