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信息检索、检索增强的生成、自然语言处理

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081203-计算机应用技术

信息检索，自然语言理解

2015-09--2021-06   马萨诸塞大学阿默斯特分校   哲学博士
2009-09--2012-07   北京大学   理学硕士
2005-09--2009-07   南开大学   工学学士

2021-08--2022-08   微软 Applied Scientist II
2012-07--2015-07   百度 高级研发工程师

   

[1] The 62nd Annual Meeting of the Association for Computational Linguistics Findingsnull. 2024, [2] The 62nd Annual Meeting of the Association for Computational Linguistics Findingsnull. 2024, [3] Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng. Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning. Proceedings of the 46th European Conference on Information Retrieval (ECIR'24)null. 2024, https://link.springer.com/chapter/10.1007/978-3-031-56066-8_17.
[4] 孙晓洁, 毕可平, 郭嘉丰, 杨思慧, Qishen Zhang, Zhongyi Liu, Guannan Zhang, 程学旗. A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. The 17th ACM International Conference on Web Search and Data Mining (WSDM'24)null. 2024, [5] 蔡银琼, 毕可平, 范意兴, 郭嘉丰, 陈薇, 程学旗. L^2R: Lifelong learning for First-stage Retrieval with Backward-Compatible Representations. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM'23)null. 2023, [6] 倪诗宇, 毕可平, 郭嘉丰, 程学旗. A Comparative Study of Training Objectives for Clarification Facet Generation. 1st International ACM SIGIR Conference on Information Retrieval in the Asia Pacific(SIGIR-AP'23)null. 2023, [7] 孙晓洁, 毕可平, 郭嘉丰, 马新宇, 范意兴, Hongyu Shan, Qishen Zhang, Zhongyi Liu, 程学旗. Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM'23)null. 2023, [8] Bi, Keping, Metrikov, Pavel, Li, Chunyuan, Byun, Byungki. Leveraging User Behavior History for Personalized Email Search. Proceedings of the Web Conference 2021 (TheWebConf'21)null. 2021, http://arxiv.org/abs/2102.07279.
[9] Bi, Keping, Jha, Rahul, Croft, W Bruce, Celikyilmaz, Asli. AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization. Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL'21)null. 2021, http://arxiv.org/abs/2004.06176.
[10] Bi, Keping, Ai, Qingyao, Croft, W Bruce. Learning a Fine-Grained Review-based Transformer Model for Personalized Product Search. Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'21)null. 2021, http://arxiv.org/abs/2004.09424.
[11] Bi Keping, Ai Qingyao, Zhang Yongfeng, Croft W Bruce. Conversational Product Search Based on Negative Feedback. Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM'19)null. 2019, http://arxiv.org/abs/1909.02071.