Canwen Xu - RankMe

62 papers A* 13A 1Journal 31Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning. CoRR Zhaoyang Wang, Canwen Xu, Boyi Liu, Yite Wang, Siwei Han, Zhewei Yao, Huaxiu Yao, Yuxiong He
2026	J	`jnl`	Learning to Self-Evolve. CoRR Xiaoyin Chen, Canwen Xu, Yite Wang, Boyi Liu, Zhewei Yao, Yuxiong He
2025	J	`jnl`	ExCoT: Optimizing Reasoning for Text-to-SQL with Execution Feedback. CoRR Bohan Zhai, Canwen Xu, Yuxiong He, Zhewei Yao
2025	—	`conf`	Optimizing Reasoning for Text-to-SQL with Execution Feedback. ACL (Findings) Bohan Zhai, Canwen Xu, Yuxiong He, Zhewei Yao
2025	J	`jnl`	ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Format Restriction, and Column Exploration. CoRR Minghang Deng, Ashwin Ramachandran, Canwen Xu, Lanxiang Hu, Zhewei Yao, Anupam Datta, Hao Zhang
2024	—	`conf`	Automatic Pair Construction for Contrastive Post-training. NAACL-HLT (Findings) Canwen Xu, Corby Rosset, Ethan C. Chau, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Awadallah, Nikhil Rao
2024	—	`—`	Efficient Natural Language Processing for Language Models Canwen Xu
2024	A*	`conf`	RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems. ICLR Tianyang Liu, Canwen Xu, Julian J. McAuley
2024	—	`conf`	Small Models are Valuable Plug-ins for Large Language Models. ACL (Findings) Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley
2024	J	`jnl`	StarCoder 2 and The Stack v2: The Next Generation. CoRR 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.
2023	—	`conf`	A Survey on Dynamic Neural Networks for Natural Language Processing. EACL (Findings) Canwen Xu, Julian J. McAuley
2023	A*	`conf`	A Survey on Model Compression and Acceleration for Pretrained Language Models. AAAI Canwen Xu, Julian J. McAuley
2023	A*	`conf`	Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. EMNLP Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley
2023	J	`jnl`	Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. CoRR Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley
2023	J	`jnl`	Contrastive Post-training Large Language Models on Data Curriculum. CoRR Canwen Xu, Corby Rosset, Luciano Del Corro, Shweti Mahajan, Julian J. McAuley, Jennifer Neville, Ahmed Hassan Awadallah, Nikhil Rao
2023	A*	`conf`	LongCoder: A Long-Range Pre-trained Language Model for Code Completion. ICML Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley
2023	J	`jnl`	LongCoder: A Long-Range Pre-trained Language Model for Code Completion. CoRR Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian J. McAuley
2023	—	`conf`	Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. WWW (Companion Volume) Canwen Xu, Julian J. McAuley, Penghan Wang
2023	J	`jnl`	Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. CoRR Canwen Xu, Julian J. McAuley, Penghan Wang
2023	J	`jnl`	RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems. CoRR Tianyang Liu, Canwen Xu, Julian J. McAuley
2023	J	`jnl`	Small Models are Valuable Plug-ins for Large Language Models. CoRR Canwen Xu, Yichong Xu, Shuohang Wang, Yang Liu, Chenguang Zhu, Julian J. McAuley
2023	A*	`conf`	Spoiler Detection as Semantic Text Matching. EMNLP Ryan Tran, Canwen Xu, Julian J. McAuley
2022	J	`jnl`	A Survey on Dynamic Neural Networks for Natural Language Processing. CoRR Canwen Xu, Julian J. McAuley
2022	J	`jnl`	A Survey on Model Compression for Natural Language Processing. CoRR Canwen Xu, Julian J. McAuley
2022	—	`conf`	Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification. NAACL-HLT Han Wang, Canwen Xu, Julian J. McAuley
2022	J	`jnl`	Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification. CoRR Han Wang, Canwen Xu, Julian J. McAuley
2022	—	`conf`	BERT Learns to Teach: Knowledge Distillation with Meta Learning. ACL (1) Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
2022	A*	`conf`	Efficiently Tuned Parameters Are Task Embeddings. EMNLP Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
2022	J	`jnl`	Efficiently Tuned Parameters are Task Embeddings. CoRR Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
2022	A*	`conf`	InforMask: Unsupervised Informative Masking for Language Model Pretraining. EMNLP Nafis Sadeq, Canwen Xu, Julian J. McAuley
2022	J	`jnl`	InforMask: Unsupervised Informative Masking for Language Model Pretraining. CoRR Nafis Sadeq, Canwen Xu, Julian J. McAuley
2022	—	`conf`	LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. ACL (Findings) Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley
2022	J	`jnl`	LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. CoRR Canwen Xu, Daya Guo, Nan Duan, Julian J. McAuley
2022	A*	`conf`	Leashing the Inner Demons: Self-Detoxification for Language Models. AAAI Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley
2022	J	`jnl`	Leashing the Inner Demons: Self-Detoxification for Language Models. CoRR Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley
2022	A*	`conf`	Multitask Prompted Training Enables Zero-Shot Task Generalization. ICLR Victor Sanh, Albert Webson, Colin Raffel, Stephen H. 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
2022	—	`conf`	PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. ACL (demo) 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
2022	J	`jnl`	PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. CoRR 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
2021	—	`conf`	Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. EMNLP (1) Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
2021	J	`jnl`	Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. CoRR Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
2021	—	`conf`	Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. NAACL-HLT Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
2021	J	`jnl`	Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. CoRR Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei
2021	—	`conf`	Datasets: A Community Library for Natural Language Processing. EMNLP (Demos) 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
2021	J	`jnl`	Datasets: A Community Library for Natural Language Processing. CoRR 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
2021	—	`conf`	Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting. EMNLP (1) Wangchunshu Zhou, Tao Ge, Canwen Xu, Ke Xu, Furu Wei
2021	J	`jnl`	Meta Learning for Knowledge Distillation. CoRR Wangchunshu Zhou, Canwen Xu, Julian J. McAuley
2021	J	`jnl`	Multitask Prompted Training Enables Zero-Shot Task Generalization. CoRR 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
2020	A*	`conf`	BERT Loses Patience: Fast and Robust Inference with Early Exit. NeurIPS Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian J. McAuley, Ke Xu, Furu Wei
2020	J	`jnl`	BERT Loses Patience: Fast and Robust Inference with Early Exit. CoRR Wangchunshu Zhou, Canwen Xu, Tao Ge, Julian J. McAuley, Ke Xu, Furu Wei
2020	—	`conf`	BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. EMNLP (1) Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou
2020	J	`jnl`	BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. CoRR Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou
2020	A*	`conf`	MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. ACL Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li
2020	J	`jnl`	MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. CoRR Canwen Xu, Jiaxin Pei, Hongtao Wu, Yiyu Liu, Chenliang Li
2020	A*	`conf`	Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. ACL Yu Duan, Canwen Xu, Jiaxin Pei, Jialong Han, Chenliang Li
2020	—	`conf`	Transformers: State-of-the-Art Natural Language Processing. EMNLP (Demos) 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
2020	—	`conf`	UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database. AACL/IJCNLP Canwen Xu, Tao Ge, Chenliang Li, Furu Wei
2019	A*	`conf`	DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. WWW Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji
2019	J	`jnl`	DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. CoRR Canwen Xu, Jing Li, Xiangyang Luo, Jiaxin Pei, Chenliang Li, Donghong Ji
2019	A	`conf`	Exploiting Multiple Embeddings for Chinese Named Entity Recognition. CIKM Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li
2019	J	`jnl`	Exploiting Multiple Embeddings for Chinese Named Entity Recognition. CoRR Canwen Xu, Feiyang Wang, Jialong Han, Chenliang Li
2019	J	`jnl`	Obj-GloVe: Scene-Based Contextual Object Embedding. CoRR Canwen Xu, Zhenzhong Chen, Chenliang Li
2019	J	`jnl`	Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. CoRR Yu Duan, Jiaxin Pei, Canwen Xu, Chenliang Li