Page 322 - AI for Good Innovate for Impact
P. 322

AI for Good Innovate for Impact





















































                      5      References

                      [1]  G. Zhao, Y. Tu, J. Yang, S. Zheng, and Q. Zhang, "Design and implementation of a
                           large model RAG enrollment Q&A system based on domain data enhancement," DOI:
                           10.3969/j.issn.1003-6970.2025.01.052.
                      [2]  Y. Ju, W. Wang, Y. Zhang, et al., "CMQA: A dataset of conditional question answering with
                           multiple-span answers," in Proceedings of the International Committee on Computational
                           Linguistics, Gyeongju, Republic of Korea, 2022.
                      [3]  P. Lewis, E. Perez, A. Piktus, et al., "Retrieval-augmented generation for knowledge-
                           intensive NLP tasks," Advances in Neural Information Processing Systems, vol. 33, pp.
                           9459–9474, 2020.
                                                                                .
                      [4]  CTYUN, “Intelligent Robots”, [Online]. Available: https:// ocss ctyun .cn/ ucfront/ uc _channel
                           _access/ webchat/ pages/ robot .html
                      [5]  “China Telecom  Cloud won multiple awards at the 23rd China IT User Satisfaction
                           Conference”, [Online]. Available:  https:// mp .weixin .qq .com/ s/ _DqndMzI7Pb
                           _5tG7WR0CIg 
                      [6]  “The golden words from China Telecom  Cloud experts at the 2024 Trusted Cloud
                           Conference”, [Online]. Available:  https:// mp .weixin .qq .com/ s/ Z _ 7VUM7TcNIy
                           D4ILUQwl5g 
                      [7]  China Telecom Cloud, “Robot Chat Interface,”  [Online]. Available: https:// ocss .ctyun .cn/
                           ucfront/ uc _channel _access/ webchat/ pages/ robot .html 






                  286
   317   318   319   320   321   322   323   324   325   326   327