I am Dayuan Fu, a graduate student at PRIS-NLP Group at Beijing University of Posts and Telecommunications (BUPT), supervised by Prof. Weiran Xu. I'm also currently visiting TsinghuaC3I group. My research interests primarily focus on large language model agents, including both training-based and prompt-based approaches. For prompt-based approaches, I am concentrating on improving memory mechanisms. For training-based approaches, my focus is on agent generalization, such as creating a world model to handle diverse problems. Additionally, I am interested in the self-evolution of agents when tackling hard and large-scale questions, exemplified by projects like DeepSeek-Prover. I have published several papers at prominent NLP conferences, including EMNLP, CIKM, and NAACL.
Feel free to email me for any form of academic cooperation!
- 2024-03: ๐๐ Two paper have been accepted by NAACL 2024!
- 2024-02: ๐๐ One paper have been accepted by LREC-COLING 2024!
- 2023-10: ๐๐ One paper have been accepted by CIKM 2023!
- 2023-02: ๐๐ Two paper have been accepted by ICASSP 2023!
- 2022-10: ๐๐ One paper has been accepted at the SereTOD 2022 Workshop, EMNLP 2022!
- 2022-09: ๐๐ Achieved the 1st rank on SereTOD 2022 track 2, EMNLP 2022!
todo: add publications.
- National Scholarship in China (2021)
- 2022-09: ๐๐ Achieved the 1st Award on SereTOD Challenge 2022 track 2, EMNLP 2022!