Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering - researchr publication authors

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Fangkai Yang, Pu Zhao 0004, Zezhong Wang 0004, Lu Wang, Bo Qiao 0001, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang. Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. In Mingxuan Wang, Imed Zitouni, editors, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023 - Industry Track, Singapore, December 6-10, 2023. pages 294-312, Association for Computational Linguistics, 2023. [doi]

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