Canwen Xu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 56

Top Topics

Chinese Named Entity Recognition

Natural Language

Question Answering

Top Venues

Publications

Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley
Small Models are Valuable Plug-ins for Large Language Models. ACL (Findings) (2024)
Tianyang Liu, Canwen Xu, Julian J. McAuley
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems. ICLR (2024)
Anton Lozhkov, Raymond Li, Loubna Ben Allal, Federico Cassano, Joel Lamy-Poirier, Nouamane Tazi, Ao Tang, Dmytro Pykhtar, Jiawei Liu, Yuxiang Wei, Tianyang Liu, Max Tian, Denis Kocetkov, Arthur Zucker, Younes Belkada, Zijian Wang, Qian Liu, Dmitry Abulkhanov, Indraneil Paul, Zhuang Li, Wen-Ding Li, Megan Risdal, Jia Li, Jian Zhu, Terry Yue Zhuo, Evgenii Zheltonozhskii, Nii Osae Osae Dade, Wenhao Yu, Lucas Krauß, Naman Jain, Yixuan Su, Xuanli He, Manan Dey, Edoardo Abati, Yekun Chai, Niklas Muennighoff, Xiangru Tang, Muhtasham Oblokulov, Christopher Akiki, Marc Marone, Chenghao Mou, Mayank Mishra, Alex Gu, Binyuan Hui, Tri Dao, Armel Zebaze, Olivier Dehaene, Nicolas Patry, Canwen Xu, Julian J. McAuley, Han Hu, Torsten Scholak, Sébastien Paquet, Jennifer Robinson, Carolyn Jane Anderson, Nicolas Chapados, et al.
StarCoder 2 and The Stack v2: The Next Generation. CoRR (2024)
Ryan Tran, Canwen Xu, Julian J. McAuley
Spoiler Detection as Semantic Text Matching. EMNLP (2023)
Canwen Xu, Julian J. McAuley
A Survey on Dynamic Neural Networks for Natural Language Processing. EACL (Findings) (2023)
Canwen Xu, Julian J. McAuley, Penghan Wang
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. WWW (Companion Volume) (2023)
Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. EMNLP (2023)
Canwen Xu, Julian J. McAuley
A Survey on Model Compression and Acceleration for Pretrained Language Models. AAAI (2023)
Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley
Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. CoRR (2023)
Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley
LongCoder: A Long-Range Pre-trained Language Model for Code Completion. ICML (2023)
Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian McAuley
Small Models are Valuable Plug-ins for Large Language Models. CoRR (2023)
Tianyang Liu, Canwen Xu, Julian McAuley
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems. CoRR (2023)
Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley
LongCoder: A Long-Range Pre-trained Language Model for Code Completion. CoRR (2023)
Canwen Xu, Corby Rosset, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Hassan Awadallah, Nikhil Rao
Contrastive Post-training Large Language Models on Data Curriculum. CoRR (2023)
Canwen Xu, Julian J. McAuley, Penghan Wang
Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. CoRR (2023)
Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
Efficiently Tuned Parameters are Task Embeddings. CoRR (2022)
Canwen Xu, Julian J. McAuley
A Survey on Model Compression for Natural Language Processing. CoRR (2022)
Victor Sanh, Albert Webson, Colin Raffel, Stephen Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush
Multitask Prompted Training Enables Zero-Shot Task Generalization. ICLR (2022)
Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Mike Tian-Jian Jiang, Alexander M. Rush
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. CoRR (2022)
Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley
Leashing the Inner Demons: Self-Detoxification for Language Models. CoRR (2022)
Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
Efficiently Tuned Parameters Are Task Embeddings. EMNLP (2022)
Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. ACL (Findings) (2022)
Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, et al.
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. CoRR (2022)
Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley
LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. CoRR (2022)
Han Wang, Canwen Xu, Julian J. McAuley
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification. NAACL-HLT (2022)
Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
BERT Learns to Teach: Knowledge Distillation with Meta Learning. ACL (1) (2022)
Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley
Leashing the Inner Demons: Self-Detoxification for Language Models. AAAI (2022)
Canwen Xu, Julian J. McAuley
A Survey on Dynamic Neural Networks for Natural Language Processing. CoRR (2022)
Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir R. Radev, Mike Tian-Jian Jiang, Alexander M. Rush
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. ACL (demo) (2022)
Nafis Sadeq, Canwen Xu, Julian J. McAuley
InforMask: Unsupervised Informative Masking for Language Model Pretraining. EMNLP (2022)
Han Wang, Canwen Xu, Julian J. McAuley
Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification. CoRR (2022)
Nafis Sadeq, Canwen Xu, Julian J. McAuley
InforMask: Unsupervised Informative Masking for Language Model Pretraining. CoRR (2022)
Wangchunshu Zhou, Tao Ge, Canwen Xu, Ke Xu, Furu Wei
Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting. EMNLP (1) (2021)
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. CoRR (2021)
Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M. Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush
Multitask Prompted Training Enables Zero-Shot Task Generalization. CoRR (2021)
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. EMNLP (1) (2021)
Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clement Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf
Datasets: A Community Library for Natural Language Processing. CoRR (2021)
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. NAACL-HLT (2021)
Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
Meta Learning for Knowledge Distillation. CoRR (2021)
Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clément Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf
Datasets: A Community Library for Natural Language Processing. EMNLP (Demos) (2021)
Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. CoRR (2021)
Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian J. McAuley, Ke Xu, Furu Wei
BERT Loses Patience: Fast and Robust Inference with Early Exit. CoRR (2020)
Yu Duan, Canwen Xu, Jiaxin Pei, Jialong Han, Chenliang Li
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. ACL (2020)
Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. CoRR (2020)
Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. EMNLP (1) (2020)
Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian J. McAuley, Ke Xu, Furu Wei
BERT Loses Patience: Fast and Robust Inference with Early Exit. NeurIPS (2020)
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, Alexander M. Rush
Transformers: State-of-the-Art Natural Language Processing. EMNLP (Demos) (2020)
Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou
BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. CoRR (2020)
Canwen Xu, Tao Ge, Chenliang Li, Furu Wei
UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database. AACL/IJCNLP (2020)
Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li
MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. ACL (2020)
Canwen Xu, Zhenzhong Chen, Chenliang Li
Obj-GloVe: Scene-Based Contextual Object Embedding. CoRR (2019)
Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. CoRR (2019)
Yu Duan, Jiaxin Pei, Canwen Xu, Chenliang Li
Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. CoRR (2019)
Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li
Exploiting Multiple Embeddings for Chinese Named Entity Recognition. CIKM (2019)
Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li
Exploiting Multiple Embeddings for Chinese Named Entity Recognition. CoRR (2019)
Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji
DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. WWW (2019)