Scholar

Xipeng Qiu（邱锡鹏）

Google Scholar ID: Pq4Yp_kAAAAJ

Professor of Computer Science, Fudan University

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Homepage↗Google Scholar↗

Citations & Impact

All-time

Citations

31,188

H-index

i10-index

225

Publications

Co-authors

list available

Contact

Emailxpqiu@fudan.edu.cn GitHubOpen ↗

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

2024 ACL 2024 Outstanding Paper Award - L-Eval: Instituting Standardized Evaluation for LongContext Language Models
2024 CCF-ACM Young Scientist Award (one person per year)
2023 Shanghai Computer Society Young Talent Award (one person per year)
2023 Ministry of Education, China Teacher Development Foundation 'Excellent Teacher Reward Plan for Computer Science in Universities'
2023 First Prize for Teaching Achievement by Shanghai Computer Society (second contributor)
2022 First Prize for Qian Weichang Chinese Information Processing Science and Technology Award by the Chinese Information Processing Society of China (first contributor)
2021 High Impact Paper Award by 'Science in China: Technological Sciences' 2021 - Pre-trained Models for Natural Language Processing: A Survey
2021 First Prize for Teaching Achievement by Shanghai Computer Society (first contributor)
2020 Excellent Award in the 4th Shanghai University Young Teachers Teaching Competition
2020 Four papers selected as the most influential papers by PaperDigest for IJCAI/ACL/EMNLP (top 10 papers per conference per year)
2019 Best Paper Award at CCL 2019 - How to Fine-Tune BERT for Text Classification?
2018 Qian Weichang Chinese Information Processing Science and Technology Award - Young Innovation Award by the Chinese Information Processing Society of China
2017 ACL 2017 Outstanding Paper Award - Adversarial Multi-Criteria Learning for Chinese Word Segmentation
2015 First Batch of Young Talent Support Program by the China Association for Science and Technology

Research Experience

Led the development of large language model MOSS, open-source NLP tools like FudanNLP and FastNLP. Conducts research on next-generation efficient large language models, including large model systems, pre-training, new architectures, multimodal fusion, agents, and embodied intelligence.

Education

Received Bachelor's and Doctorate degrees in Science from Fudan University

Background

Professor and doctoral supervisor at Fudan University. Research interests include natural language processing and large language models. Has guided students to win multiple awards such as the Best Doctoral Dissertation Award from the Chinese Association for Artificial Intelligence and the Chinese Information Processing Society of China.

Miscellany