-
[EMNLP'23] CodeT5+: Open Code Large Language Models for Code Understanding and Generation.
Yue Wang*, Hung Le*, Akhilesh Deepak Gotmare, Nghi D.Q. Bui, Junnan Li, Steven Hoi. (* indicates equal contribution)
-
[EMNLP'23] Towards Low-Resource Automatic Program Repair with Meta-Learning and Pretrained Language Models.
Weishi Wang, Yue Wang*, Steven Hoi, Shafiq Joty. (* indicates corresponding author)
-
[FSE'23] RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair.
Weishi Wang*, Yue Wang*, Shafiq Joty, Steven Hoi. (* indicates equal contribution)
The 2023 Symposium on the Foundations of Software Engineering (FSE 2023, Long Paper).
-
[arXiv'23] CODETF: One-stop Transformer Library for State-of-the-art Code LLMs.
Nghi D.Q. Bui, Hung Le, Yue Wang, Junnan Li, Akhilesh Deepak Gotmare, Steven Hoi.
-
[NeurIPS'22] CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning
Hung Le*, Yue Wang*, Akhilesh Deepak Gotmare, Silvio Savarese, Steven Hoi. (* indicates equal contribution)
The 2022 Conference on Neural Information Processing Systems (NeurIPS 2022, Long Paper).
-
[EMNLP'22 Findings] Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5
Nghi D. Q. Bui, Yue Wang, Steven Hoi.
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Findings, Long Paper).
-
[EMNLP'21] CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Yue Wang, Weishi Wang, Shafiq Joty, and Steven C.H. Hoi.
The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021, Long Paper).
-
[NAACL'21] Towards Modeling the Style of Translators in Neural Machine Translation
Yue Wang, Cuong Hoang, and Marcello Federico.
The 2021 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2021, Short Paper).
-
[ICASSP'21] Machine Translation Verbosity Control for Automatic Dubbing
Surafel M Lakew, Marcello Federico, Yue Wang, Cuong Hoang, Yogesh Virkar, Roberto Barra-Chicote, Robert Enyedi.
The 2021 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021, Long Paper).
-
[EMNLP'20] VD-BERT: A Unified Vision and Dialog Transformer with BERT
Yue Wang, Shafiq Joty, Michael R. Lyu, Irwin King, Caiming Xiong, and Steven C.H. Hoi.
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020, Long Paper).
-
[EMNLP'20] Cross-Media Keyphrase Prediction: A Unified Framework with Multi-Modality Multi-Head Attention and Image Wordings
Yue Wang, Jing Li, Michael Lyu and Irwin King.
The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020, Long Paper).
-
[ACL'19] Topic-Aware Neural Keyphrase Generation for Social Media Language
Yue Wang, Jing Li, Hou Pong Chan, Irwin King, Michael R. Lyu, Shuming Shi.
The 57th Annual Meeting of the Association for Computational Linguistics (ACL 2019, Long Paper).
-
[NAACL'19] Microblog Hashtag Generation via Encoding Conversation Contexts
Yue Wang, Jing Li, Irwin King, Michael R. Lyu, Shuming Shi.
The 2019 Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2019, Long Paper, Oral).
-
[IJCAI'18] Code Completion with Neural Attention and Pointer Networks
Jian Li, Yue Wang, Michael R. Lyu, Irwin King.
The 2018 International Joint Conference on Artificial Intelligence (IJCAI 2018, Long Paper, Oral).