Fangzheng (Frank) Xu
Fangzheng (Frank) Xu
Muut nimetFrank Xu, Fangzheng Xu, Frank F. Xu
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
How can we know what language models know?
Z Jiang, FF Xu, J Araki, G Neubig
Transactions of the Association for Computational Linguistics 8, 423-438, 2020
Empower sequence labeling with task-aware neural language model
L Liu, J Shang, X Ren, F Xu, H Gui, J Peng, J Han
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
A systematic evaluation of large language models of code
FF Xu, U Alon, G Neubig, VJ Hellendoorn
Proceedings of the 6th ACM SIGPLAN International Symposium on Machine …, 2022
Multi-channel bilstm-crf model for emerging named entity recognition in social media
BY Lin, FF Xu, Z Luo, K Zhu
Proceedings of the 3rd Workshop on Noisy User-generated Text, 160-165, 2017
Incorporating external knowledge through pre-training for natural language to code generation
FF Xu, Z Jiang, P Yin, B Vasilescu, G Neubig
arXiv preprint arXiv:2004.09015, 2020
In-ide code generation from natural language: Promise and challenges
FF Xu, B Vasilescu, G Neubig
ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (2), 1-47, 2022
Higitclass: Keyword-driven hierarchical classification of github repositories
Y Zhang, FF Xu, S Li, Y Meng, X Wang, Q Li, J Han
2019 IEEE International Conference on Data Mining (ICDM), 876-885, 2019
AlpacaTag: An active learning-based crowd annotation framework for sequence tagging
BY Lin, DH Lee, FF Xu, O Lan, X Ren
Proceedings of the 57th Conference of the Association for Computational …, 2019
Statelens: A reverse engineering solution for making existing dynamic touchscreens accessible
A Guo, J Kong, M Rivera, FF Xu, JP Bigham
Proceedings of the 32nd Annual ACM Symposium on User Interface Software and …, 2019
Mining cross-cultural differences and similarities in social media
BY Lin, FF Xu, K Zhu, S Hwang
Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018
Minimally supervised categorization of text with metadata
Y Zhang, Y Meng, J Huang, FF Xu, X Wang, J Han
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
Neuro-symbolic language modeling with automaton-augmented retrieval
U Alon, F Xu, J He, S Sengupta, D Roth, G Neubig
International Conference on Machine Learning, 468-485, 2022
Automatic extraction of commonsense locatednear knowledge
FF Xu, BY Lin, KQ Zhu
arXiv preprint arXiv:1711.04204, 2017
Data-to-text generation with style imitation
S Lin, W Wang, Z Yang, X Liang, FF Xu, E Xing, Z Hu
arXiv preprint arXiv:1901.09501, 2019
Docprompting: Generating code by retrieving the docs
S Zhou, U Alon, FF Xu, Z Jiang, G Neubig
The Eleventh International Conference on Learning Representations, 2022
Learning structural edits via incremental tree transformations
Z Yao, FF Xu, P Yin, H Sun, G Neubig
arXiv preprint arXiv:2101.12087, 2021
Cross-region traffic prediction for china on openstreetmap
FF Xu, BY Lin, Q Lu, Y Huang, KQ Zhu
Proceedings of the 9th ACM SIGSPATIAL International Workshop on …, 2016
A benchmark for structured procedural knowledge extraction from cooking videos
FF Xu, L Ji, B Shi, J Du, G Neubig, Y Bisk, N Duan
arXiv preprint arXiv:2005.00706, 2020
Mconala: a benchmark for code generation from multiple natural languages
Z Wang, G Cuenca, S Zhou, FF Xu, G Neubig
arXiv preprint arXiv:2203.08388, 2022
Extra: Extracting prominent review aspects from customer feedback
Z Luo, S Huang, FF Xu, BY Lin, H Shi, K Zhu
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
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