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2020 – today
- 2024
[c27]Shuyan Zhou, Frank F. Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, Graham Neubig:
WebArena: A Realistic Web Environment for Building Autonomous Agents. ICLR 2024- [i26]Zora Zhiruo Wang, Akari Asai, Xinyan Velocity Yu, Frank F. Xu, Yiqing Xie, Graham Neubig, Daniel Fried:
CodeRAG-Bench: Can Retrieval Augment Code Generation? CoRR abs/2406.14497 (2024) - [i25]Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig:
OpenDevin: An Open Platform for AI Software Developers as Generalist Agents. CoRR abs/2407.16741 (2024) - [i24]Tianyue Ou, Frank F. Xu, Aman Madaan, Jiarui Liu, Robert Lo, Abishek Sridhar, Sudipta Sengupta, Dan Roth, Graham Neubig, Shuyan Zhou:
Synatra: Turning Indirect Knowledge into Direct Demonstrations for Digital Agents at Scale. CoRR abs/2409.15637 (2024) - 2023
- [c26]Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig:
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. EACL (Findings) 2023: 265-273 - [c25]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: 7969-7992 - [c24]Robert Lo, Abishek Sridhar, Frank F. Xu, Hao Zhu, Shuyan Zhou:
Hierarchical Prompting Assists Large Language Model on Web Navigation. EMNLP (Findings) 2023: 10217-10244 - [c23]Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig:
DocPrompting: Generating Code by Retrieving the Docs. ICLR 2023 - [c22]Frank F. Xu, Uri Alon, Graham Neubig:
Why do Nearest Neighbor Language Models Work? ICML 2023: 38325-38341 - [i23]Frank F. Xu, Uri Alon, Graham Neubig:
Why do Nearest Neighbor Language Models Work? CoRR abs/2301.02828 (2023) - [i22]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 abs/2305.06983 (2023) - [i21]Abishek Sridhar, Robert Lo, Frank F. Xu, Hao Zhu, Shuyan Zhou:
Hierarchical Prompting Assists Large Language Model on Web Navigation. CoRR abs/2305.14257 (2023) - [i20]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 abs/2307.13854 (2023) - 2022
- [j2]Frank F. Xu, Bogdan Vasilescu, Graham Neubig:
In-IDE Code Generation from Natural Language: Promise and Challenges. ACM Trans. Softw. Eng. Methodol. 31(2): 29:1-29:47 (2022) - [c21]Frank F. Xu, Junxian He, Graham Neubig, Vincent Josua Hellendoorn:
Capturing Structural Locality in Non-parametric Language Models. ICLR 2022 - [c20]Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig:
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. ICML 2022: 468-485 - [c19]Frank F. Xu, Uri Alon, Graham Neubig, Vincent Josua Hellendoorn:
A systematic evaluation of large language models of code. MAPS@PLDI 2022: 1-10 - [i19]Uri Alon, Frank F. Xu, Junxian He, Sudipta Sengupta, Dan Roth, Graham Neubig:
Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval. CoRR abs/2201.12431 (2022) - [i18]Frank F. Xu, Uri Alon, Graham Neubig, Vincent J. Hellendoorn:
A Systematic Evaluation of Large Language Models of Code. CoRR abs/2202.13169 (2022) - [i17]Zhiruo Wang, Grace Cuenca, Shuyan Zhou, Frank F. Xu, Graham Neubig:
MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages. CoRR abs/2203.08388 (2022) - [i16]Shuyan Zhou, Uri Alon, Frank F. Xu, Zhengbao Jiang, Graham Neubig:
DocCoder: Generating Code by Retrieving and Reading Docs. CoRR abs/2207.05987 (2022) - 2021
- [c18]Ziyu Yao
, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig:
Learning Structural Edits via Incremental Tree Transformations. ICLR 2021 - [i15]Frank F. Xu, Bogdan Vasilescu, Graham Neubig:
In-IDE Code Generation from Natural Language: Promise and Challenges. CoRR abs/2101.11149 (2021) - [i14]Ziyu Yao, Frank F. Xu, Pengcheng Yin, Huan Sun, Graham Neubig:
Learning Structural Edits via Incremental Tree Transformations. CoRR abs/2101.12087 (2021) - [i13]Frank F. Xu, Junxian He, Graham Neubig, Vincent J. Hellendoorn:
Capturing Structural Locality in Non-parametric Language Models. CoRR abs/2110.02870 (2021) - 2020
- [j1]Zhengbao Jiang, Frank F. Xu, Jun Araki, Graham Neubig:
How Can We Know What Language Models Know. Trans. Assoc. Comput. Linguistics 8: 423-438 (2020) - [c17]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: 6045-6052 - [c16]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: 1589-1598 - [c15]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. SIGIR 2020: 1231-1240 - [i12]Frank F. Xu, Zhengbao Jiang, Pengcheng Yin, Bogdan Vasilescu, Graham Neubig:
Incorporating External Knowledge through Pre-training for Natural Language to Code Generation. CoRR abs/2004.09015 (2020) - [i11]Yu Zhang, Yu Meng, Jiaxin Huang, Frank F. Xu, Xuan Wang, Jiawei Han:
Minimally Supervised Categorization of Text with Metadata. CoRR abs/2005.00624 (2020) - [i10]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 abs/2005.00706 (2020)
2010 – 2019
- 2019
- [c14]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: 58-63 - [c13]Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han:
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. IEEE BigData 2019: 64-73 - [c12]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: 876-885 - [c11]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: 371-385 - [i9]Wentao Wang, Zhiting Hu, Zichao Yang, Haoran Shi, Frank F. Xu, Eric P. Xing:
Toward Unsupervised Text Content Manipulation. CoRR abs/1901.09501 (2019) - [i8]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 abs/1908.07144 (2019) - [i7]Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han:
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. CoRR abs/1908.07832 (2019) - [i6]Yu Zhang, Frank F. Xu, Sha Li, Yu Meng, Xuan Wang, Qi Li, Jiawei Han:
HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories. CoRR abs/1910.07115 (2019) - [i5]Zhengbao Jiang, Frank F. Xu, Jun Araki, Graham Neubig:
How Can We Know What Language Models Know? CoRR abs/1911.12543 (2019) - 2018
- [c10]Bill Y. Lin, Frank F. Xu, Eve Q. Liao, Kenny Q. Zhu:
Transfer Learning for Traffic Speed Prediction: A Preliminary Study. AAAI Workshops 2018: 174-177 - [c9]Liyuan Liu, Jingbo Shang, Xiang Ren, Frank Fangzheng Xu, Huan Gui, Jian Peng, Jiawei Han:
Empower Sequence Labeling with Task-Aware Neural Language Model. AAAI 2018: 5253-5260 - [c8]Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu:
Automatic Extraction of Commonsense LocatedNear Knowledge. ACL (2) 2018: 96-101 - [c7]Bill Y. Lin, Frank F. Xu, Kenny Q. Zhu, Seung-won Hwang:
Mining Cross-Cultural Differences and Similarities in Social Media. ACL (1) 2018: 709-719 - [c6]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: 3477-3486 - [c5]Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han:
Indirect Supervision for Relation Extraction using Question-Answer Pairs. WSDM 2018: 646-654 - [c4]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Open Information Extraction with Global Structure Constraints. WWW (Companion Volume) 2018: 57-58 - [i4]Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han:
Integrating Local Context and Global Cohesiveness for Open Information Extraction. CoRR abs/1804.09931 (2018) - 2017
- [c3]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: 160-165 - [c2]Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu:
Commonsense LocatedNear Relation Extraction. AKBC@NIPS 2017 - [i3]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 abs/1709.04109 (2017) - [i2]Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han:
Indirect Supervision for Relation Extraction using Question-Answer Pairs. CoRR abs/1710.11169 (2017) - [i1]Frank F. Xu, Bill Y. Lin, Kenny Q. Zhu:
Commonsense LocatedNear Relation Extraction. CoRR abs/1711.04204 (2017) - 2016
- [c1]Frank F. Xu, Bill Y. Lin, Qi Lu, Yifei Huang, Kenny Q. Zhu:
Cross-region traffic prediction for China on OpenStreetMap. IWCTS@SIGSPATIAL 2016: 37-42
Coauthor Index
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last updated on 2024-10-17 21:29 CEST by the dblp team
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