RAD-Bench: Evaluating Large Language Models’ Capabilities in Retrieval Augmented Dialogues
Tzu-Lin Kuo, FengTing Liao, Mu-Wei Hsieh, Fu-Chieh Chang, Po-Chun Hsu, Da-shan Shiu
- Anthology ID:
- 2025.naacl-industry.66
- Volume:
- Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)
- Month:
- April
- Year:
- 2025
- Address:
- Albuquerque, New Mexico
- Editors:
- Weizhu Chen, Yi Yang, Mohammad Kachuee, Xue-Yong Fu
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 868–902
- Language:
- URL:
- https://preview.aclanthology.org/corrections-2025-06/2025.naacl-industry.66/
- DOI:
- 10.18653/v1/2025.naacl-industry.66
- Cite (ACL):
- Tzu-Lin Kuo, FengTing Liao, Mu-Wei Hsieh, Fu-Chieh Chang, Po-Chun Hsu, and Da-shan Shiu. 2025. RAD-Bench: Evaluating Large Language Models’ Capabilities in Retrieval Augmented Dialogues. In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track), pages 868–902, Albuquerque, New Mexico. Association for Computational Linguistics.
- Cite (Informal):
- RAD-Bench: Evaluating Large Language Models’ Capabilities in Retrieval Augmented Dialogues (Kuo et al., NAACL 2025)
- PDF:
- https://preview.aclanthology.org/corrections-2025-06/2025.naacl-industry.66.pdf