Exploiting Multiple Embeddings for Chinese Named Entity Recognition. - Canwen Xu; Feiyang Wang; Jialong Han; Chenliang Li (CIKM, 2019)

DLocRL: A Deep Learning Pipeline for Fine-Grained Location Recognition and Linking in Tweets. - Canwen Xu; Jing Li 034; Xiangyang Luo; Jiaxin Pei; Chenliang Li; Donghong Ji (WWW, 2019)

Obj-GloVe: Scene-Based Contextual Object Embedding. - Canwen Xu; Zhenzhong Chen; Chenliang Li (CoRR, 2019)

Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. - Yu Duan; Jiaxin Pei; Canwen Xu; Chenliang Li (CoRR, 2019)

Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encoders. - Yu Duan; Canwen Xu; Jiaxin Pei; Jialong Han; Chenliang Li (ACL, 2020)

MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization. - Canwen Xu; Jiaxin Pei; Hongtao Wu; Yiyu Liu; Chenliang Li (ACL, 2020)

Transformers: State-of-the-Art Natural Language Processing. - Thomas Wolf 008; Lysandre Debut; Victor Sanh; Julien Chaumond; Clement Delangue; Anthony Moi; Pierric Cistac; Tim Rault; Rémi Louf; Morgan Funtowicz; Joe Davison; Sam Shleifer; et al. (EMNLP (Demos), 2020)

BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. - Canwen Xu; Wangchunshu Zhou; Tao Ge 001; Furu Wei; Ming Zhou 001 (EMNLP (1), 2020)

UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database. - Canwen Xu; Tao Ge 001; Chenliang Li; Furu Wei (AACL/IJCNLP, 2020)

BERT Loses Patience: Fast and Robust Inference with Early Exit. - Wangchunshu Zhou; Canwen Xu; Tao Ge 001; Julian J. McAuley; Ke Xu 001; Furu Wei (NeurIPS, 2020)

Datasets: A Community Library for Natural Language Processing. - 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; et al. (EMNLP (Demos), 2021)

Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. - Canwen Xu; Wangchunshu Zhou; Tao Ge 001; Ke Xu 001; Julian J. McAuley; Furu Wei (EMNLP (1), 2021)

Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting. - Wangchunshu Zhou; Tao Ge 001; Canwen Xu; Ke Xu 001; Furu Wei (EMNLP (1), 2021)

Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. - Canwen Xu; Wangchunshu Zhou; Tao Ge 001; Ke Xu 001; Julian J. McAuley; Furu Wei (NAACL-HLT, 2021)

Meta Learning for Knowledge Distillation. - Wangchunshu Zhou; Canwen Xu; Julian J. McAuley (CoRR, 2021)

Multitask Prompted Training Enables Zero-Shot Task Generalization. - 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; et al. (CoRR, 2021)

Leashing the Inner Demons: Self-Detoxification for Language Models. - Canwen Xu; Zexue He; Zhankui He; Julian J. McAuley (AAAI, 2022)

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. - Stephen H. Bach; Victor Sanh; Zheng Xin Yong; Albert Webson; Colin Raffel; Nihal V. Nayak; Abheesht Sharma; Taewoon Kim 002; M. Saiful Bari; Thibault Févry; Zaid Alyafeai; Manan Dey; et al. (ACL (demo), 2022)

LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval. - Canwen Xu; Daya Guo; Nan Duan; Julian J. McAuley (ACL (Findings), 2022)

BERT Learns to Teach: Knowledge Distillation with Meta Learning. - Wangchunshu Zhou; Canwen Xu; Julian J. McAuley (ACL (1), 2022)

InforMask: Unsupervised Informative Masking for Language Model Pretraining. - Nafis Sadeq; Canwen Xu; Julian J. McAuley (EMNLP, 2022)

Efficiently Tuned Parameters Are Task Embeddings. - Wangchunshu Zhou; Canwen Xu; Julian J. McAuley (EMNLP, 2022)

Multitask Prompted Training Enables Zero-Shot Task Generalization. - 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; et al. (ICLR, 2022)

Automatic Multi-Label Prompting: Simple and Interpretable Few-Shot Classification. - Han Wang; Canwen Xu; Julian J. McAuley (NAACL-HLT, 2022)

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. - Stephen H. Bach; Victor Sanh; Zheng Xin Yong; Albert Webson; Colin Raffel; Nihal V. Nayak; Abheesht Sharma; Taewoon Kim 002; M. Saiful Bari; Thibault Févry; Zaid Alyafeai; Manan Dey; et al. (CoRR, 2022)

A Survey on Model Compression for Natural Language Processing. - Canwen Xu; Julian J. McAuley (CoRR, 2022)

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. - 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; et al. (CoRR, 2022)

A Survey on Model Compression and Acceleration for Pretrained Language Models. - Canwen Xu; Julian J. McAuley (AAAI, 2023)

A Survey on Dynamic Neural Networks for Natural Language Processing. - Canwen Xu; Julian J. McAuley (EACL (Findings), 2023)

Spoiler Detection as Semantic Text Matching. - Ryan Tran; Canwen Xu; Julian J. McAuley (EMNLP, 2023)

Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data. - Canwen Xu; Daya Guo; Nan Duan; Julian J. McAuley (EMNLP, 2023)

LongCoder: A Long-Range Pre-trained Language Model for Code Completion. - Daya Guo; Canwen Xu; Nan Duan; Jian Yin 001; Julian J. McAuley (ICML, 2023)

Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization. - Canwen Xu; Julian J. McAuley; Penghan Wang (WWW (Companion Volume), 2023)

Contrastive Post-training Large Language Models on Data Curriculum. - Canwen Xu; Corby Rosset; Luciano Del Corro; Shweti Mahajan; Julian J. McAuley; Jennifer Neville; Ahmed Hassan Awadallah; Nikhil Rao 001 (CoRR, 2023)

Small Models are Valuable Plug-ins for Large Language Models. - Canwen Xu; Yichong Xu; Shuohang Wang; Yang Liu 124; Chenguang Zhu 001; Julian J. McAuley (ACL (Findings), 2024)

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems. - Tianyang Liu 003; Canwen Xu; Julian J. McAuley (ICLR, 2024)

Automatic Pair Construction for Contrastive Post-training. - Canwen Xu; Corby Rosset; Ethan C. Chau; Luciano Del Corro; Shweti Mahajan; Julian J. McAuley; Jennifer Neville; Ahmed Awadallah 001; Nikhil Rao 001 (NAACL-HLT (Findings), 2024)

StarCoder 2 and The Stack v2: The Next Generation. - Anton Lozhkov; Raymond Li; Loubna Ben Allal; Federico Cassano; Joel Lamy-Poirier; Nouamane Tazi; Ao Tang; Dmytro Pykhtar; Jiawei Liu 004; Yuxiang Wei 003; Tianyang Liu 003; Max Tian; et al. (CoRR, 2024)

Efficient Natural Language Processing for Language Models - Canwen Xu (2024)

Optimizing Reasoning for Text-to-SQL with Execution Feedback. - Bohan Zhai; Canwen Xu; Yuxiong He; Zhewei Yao (ACL (Findings), 2025)

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Format Restriction, and Column Exploration. - Minghang Deng; Ashwin Ramachandran; Canwen Xu; Lanxiang Hu; Zhewei Yao; Anupam Datta; Hao Zhang (CoRR, 2025)

ExCoT: Optimizing Reasoning for Text-to-SQL with Execution Feedback. - Bohan Zhai; Canwen Xu; Yuxiong He; Zhewei Yao (CoRR, 2025)