Frank F. Xu

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 50

Top Topics

Hierarchical Classification

Open Information Extraction

External Knowledge

Top Venues

Publications

Frank F. Xu, Uri Alon, Graham Neubig
Why do Nearest Neighbor Language Models Work? ICML (2023)
Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig
WebArena: A Realistic Web Environment for Building Autonomous Agents. CoRR (2023)
Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. EACL (Findings) (2023)
Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig
Active Retrieval Augmented Generation. EMNLP (2023)
Frank F. Xu, Uri Alon, Graham Neubig
Why do Nearest Neighbor Language Models Work? CoRR (2023)
Abishek Sridhar, Robert Lo, Frank F. Xu, Hao Zhu, Shuyan Zhou
Hierarchical Prompting Assists Large Language Model on Web Navigation. CoRR (2023)
Robert Lo, Abishek Sridhar, Frank F. Xu, Hao Zhu, Shuyan Zhou
Hierarchical Prompting Assists Large Language Model on Web Navigation. EMNLP (Findings) (2023)
Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig
Active Retrieval Augmented Generation. CoRR (2023)
Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig
DocPrompting: Generating Code by Retrieving the Docs. ICLR (2023)
Frank F. Xu, Junxian He, Graham Neubig, Vincent Josua Hellendoorn
Capturing Structural Locality in Non-parametric Language Models. ICLR (2022)
Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. ICML (2022)
Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. CoRR (2022)
Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn
A systematic evaluation of large language models of code. MAPS@PLDI (2022)
Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. CoRR (2022)
Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig
DocCoder: Generating Code by Retrieving and Reading Docs. CoRR (2022)
Frank F. Xu, Uri Alon, Graham Neubig, Vincent J. Hellendoorn
A Systematic Evaluation of Large Language Models of Code. CoRR (2022)
Frank F. Xu, Bogdan Vasilescu, Graham Neubig
In-IDE Code Generation from Natural Language: Promise and Challenges. ACM Trans. Softw. Eng. Methodol. 31 (2) (2022)
Frank F. Xu, Bogdan Vasilescu, Graham Neubig
In-IDE Code Generation from Natural Language: Promise and Challenges. CoRR (2021)
Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig
Learning Structural Edits via Incremental Tree Transformations. ICLR (2021)
Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig
Learning Structural Edits via Incremental Tree Transformations. CoRR (2021)
Frank F. Xu, Junxian He, Graham Neubig, Vincent J. Hellendoorn
Capturing Structural Locality in Non-parametric Language Models. CoRR (2021)
Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation. ACL (2020)
Frank F. Xu, Lei Ji, Botian Shi, Junyi Du, Graham Neubig, Yonatan Bisk, Nan Duan
A Benchmark for Structured Procedural Knowledge Extraction from Cooking Videos. CoRR (2020)
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
Minimally Supervised Categorization of Text with Metadata. CoRR (2020)
Shuai Lin, Wentao Wang, Zichao Yang, Xiaodan Liang, Frank F. Xu, Eric P. Xing, Zhiting Hu
Record-to-Text Generation with Style Imitation. EMNLP (Findings) (2020)
Zhengbao Jiang, Frank F. Xu, Jun Araki, Graham Neubig
How Can We Know What Language Models Know. Trans. Assoc. Comput. Linguistics 8 (2020)
Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han
Minimally Supervised Categorization of Text with Metadata. SIGIR (2020)
Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation. CoRR (2020)
Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. CoRR (2019)
Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. IEEE BigData (2019)
Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. ICDM (2019)
Bill Yuchen Lin, Dong-Ho Lee, Frank F. Xu, Ouyu Lan, Xiang Ren
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging. ACL (3) (2019)
Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. CoRR (2019)
Anhong Guo, Junhan Kong, Michael L. Rivera, Frank F. Xu, Jeffrey P. Bigham
StateLens: A Reverse Engineering Solution for Making Existing Dynamic Touchscreens Accessible. UIST (2019)
Zhengbao Jiang, Frank F. Xu, Jun Araki, Graham Neubig
How Can We Know What Language Models Know? CoRR (2019)
Wentao Wang, Zhiting Hu, Zichao Yang, Haoran Shi, Frank F. Xu, Eric P. Xing
Toward Unsupervised Text Content Manipulation. CoRR (2019)
Anhong Guo, Junhan Kong, Michael L. Rivera, Frank F. Xu, Jeffrey P. Bigham
StateLens: A Reverse Engineering Solution for Making Existing Dynamic Touchscreens Accessible. CoRR (2019)
Bill Y. Lin, Frank F. Xu, Kenny Q. Zhu, Seung-won Hwang
Mining Cross-Cultural Differences and Similarities in Social Media. ACL (1) (2018)
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han
Open Information Extraction with Global Structure Constraints. WWW (Companion Volume) (2018)
Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han
Indirect Supervision for Relation Extraction using Question-Answer Pairs. WSDM (2018)
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han
Integrating Local Context and Global Cohesiveness for Open Information Extraction. CoRR (2018)
Zhiyi Luo, Shanshan Huang, Frank F. Xu, Bill Yuchen Lin, Hanyuan Shi, Kenny Q. Zhu
ExtRA: Extracting Prominent Review Aspects from Customer Feedback. EMNLP (2018)
Bill Y. Lin, Frank F. Xu, Eve Q. Liao, Kenny Q. Zhu
Transfer Learning for Traffic Speed Prediction: A Preliminary Study. AAAI Workshops (2018)
Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu
Automatic Extraction of Commonsense LocatedNear Knowledge. ACL (2) (2018)
Bill Y. Lin, Frank F. Xu, Zhiyi Luo, Kenny Q. Zhu
Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media. NUT@EMNLP (2017)
Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han
Indirect Supervision for Relation Extraction using Question-Answer Pairs. CoRR (2017)
Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu
Commonsense LocatedNear Relation Extraction. AKBC@NIPS (2017)
Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu
Commonsense LocatedNear Relation Extraction. CoRR (2017)
Liyuan Liu, Jingbo Shang, Frank F. Xu, Xiang Ren, Huan Gui, Jian Peng, Jiawei Han
Empower Sequence Labeling with Task-Aware Neural Language Model. CoRR (2017)
Frank F. Xu, Bill Y. Lin, Qi Lu, Yifei Huang, Kenny Q. Zhu
Cross-region traffic prediction for China on OpenStreetMap. IWCTS@SIGSPATIAL (2016)