| 2026 | ACL | LEDGER: Scaling Agentic Document Editing with Dependency-aware Graph Retrieval. | Hang Wang, Utkarsh Garg, Reza Davari, Huitian Jiao, Hao Cheng, Baolin Peng, Si-Qing Chen, Tao Ge |
| 2025 | ACL | Low-Bit Quantization Favors Undertrained LLMs. | Xu Ouyang, Tao Ge, Thomas Hartvigsen, Zhisong Zhang, Haitao Mi, Dong Yu |
| 2025 | ACL | Learn to Memorize: Scalable Continual Learning in Semiparametric Models with Mixture-of-Neighbors Induction Memory. | Guangyue Peng, Tao Ge, Wen Luo, Wei Li, Houfeng Wang |
| 2025 | COLING | ALYMPICS: LLM Agents Meet Game Theory. | Shaoguang Mao, Yuzhe Cai, Yan Xia, Wenshan Wu, Xun Wang, Fengyi Wang, Qiang Guan, Tao Ge, Furu Wei |
| 2025 | EMNLP | Router-Tuning: A Simple and Effective Approach for Dynamic Depth. | Shwai He, Tao Ge, Guoheng Sun, Bowei Tian, Xiaoyang Wang, Dong Yu |
| 2025 | NAACL | K-Level Reasoning: Establishing Higher Order Beliefs in Large Language Models for Strategic Reasoning. | Yadong Zhang, Shaoguang Mao, Tao Ge, Xun Wang, Yan Xia, Man Lan, Furu Wei |
| 2024 | ACL | SCALE: Synergized Collaboration of Asymmetric Language Translation Engines. | Xin Cheng, Xun Wang, Tao Ge, Si-Qing Chen, Furu Wei, Dongyan Zhao, Rui Yan |
| 2024 | ACL | Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. | Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui |
| 2024 | ACL | Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction. | Dingyao Yu, Yang An, Wei Ye, Xiongfeng Xiao, Shaoguang Mao, Tao Ge, Shikun Zhang |
| 2024 | EMNLP | Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning. | Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang |
| 2024 | ICLR | In-context Autoencoder for Context Compression in a Large Language Model. | Tao Ge, Jing Hu, Lei Wang, Xun Wang, Si-Qing Chen, Furu Wei |
| 2024 | NAACL | Low-code LLM: Graphical User Interface over Large Language Models. | Yuzhe Cai, Shaoguang Mao, Wenshan Wu, Zehua Wang, Yaobo Liang, Tao Ge, Chenfei Wu, Wang You, Ting Song, Yan Xia, Nan Duan, Furu Wei |
| 2024 | NAACL | Unleashing the Emergent Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration. | Zhenhailong Wang, Shaoguang Mao, Wenshan Wu, Tao Ge, Furu Wei, Heng Ji |
| 2023 | ACL | Smart Word Suggestions for Writing Assistance. | Chenshuo Wang, Shaoguang Mao, Tao Ge, Wenshan Wu, Xun Wang, Yan Xia, Jonathan Tien, Dongyan Zhao |
| 2023 | EMNLP | Speculative Decoding: Exploiting Speculative Execution for Accelerating Seq2seq Generation. | Heming Xia, Tao Ge, Peiyi Wang, Si-Qing Chen, Furu Wei, Zhifang Sui |
| 2022 | AAAI | Text Revision By On-the-Fly Representation Optimization. | Jingjing Li, Zichao Li, Tao Ge, Irwin King, Michael R. Lyu |
| 2022 | EMNLP | EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation. | Tao Ge, Si-Qing Chen, Furu Wei |
| 2022 | IJCAI | A Unified Strategy for Multilingual Grammatical Error Correction with Pre-trained Cross-Lingual Language Model. | Xin Sun, Tao Ge, Shuming Ma, Jingjing Li, Furu Wei, Houfeng Wang |
| 2022 | IJCNLP | Plug and Play Knowledge Distillation for kNN-LM with External Logits. | Xuyang Jin, Tao Ge, Furu Wei |
| 2021 | ACL | Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding. | Xin Sun, Tao Ge, Furu Wei, Houfeng Wang |
| 2021 | EMNLP | Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT Compression. | Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei |
| 2021 | EMNLP | Improving Sequence-to-Sequence Pre-training via Sequence Span Rewriting. | Wangchunshu Zhou, Tao Ge, Canwen Xu, Ke Xu, Furu Wei |
| 2021 | NAACL | Blow the Dog Whistle: A Chinese Dataset for Cant Understanding with Common Sense and World Knowledge. | Canwen Xu, Wangchunshu Zhou, Tao Ge, Ke Xu, Julian J. McAuley, Furu Wei |
| 2020 | AAAI | Fact-Aware Sentence Split and Rephrase with Permutation Invariant Training. | Yinuo Guo, Tao Ge, Furu Wei |
| 2020 | ACL | Parallel Data Augmentation for Formality Style Transfer. | Yi Zhang, Tao Ge, Xu Sun |
| 2020 | EMNLP | Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction. | Mengyun Chen, Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou |
| 2020 | EMNLP | BERT-of-Theseus: Compressing BERT by Progressive Module Replacing. | Canwen Xu, Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou |
| 2020 | EMNLP | Pseudo-Bidirectional Decoding for Local Sequence Transduction. | Wangchunshu Zhou, Tao Ge, Ke Xu |
| 2020 | EMNLP | Improving Grammatical Error Correction with Machine Translation Pairs. | Wangchunshu Zhou, Tao Ge, Chang Mu, Ke Xu, Furu Wei, Ming Zhou |
| 2020 | EMNLP | Scheduled DropHead: A Regularization Method for Transformer Models. | Wangchunshu Zhou, Tao Ge, Furu Wei, Ming Zhou, Ke Xu |
| 2020 | ICLR | Self-Adversarial Learning with Comparative Discrimination for Text Generation. | Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou |
| 2020 | IJCNLP | UnihanLM: Coarse-to-Fine Chinese-Japanese Language Model Pretraining with the Unihan Database. | Canwen Xu, Tao Ge, Chenliang Li, Furu Wei |
| 2019 | ACL | Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study. | Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou |
| 2019 | ACL | BERT-based Lexical Substitution. | Wangchunshu Zhou, Tao Ge, Ke Xu, Furu Wei, Ming Zhou |
| 2018 | ACL | Fluency Boost Learning and Inference for Neural Grammatical Error Correction. | Tao Ge, Furu Wei, Ming Zhou |
| 2018 | EMNLP | Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition. | Tao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou |
| 2018 | LREC | EventWiki: A Knowledge Base of Major Events. | Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou |
| 2016 | COLING | Event Detection with Burst Information Networks. | Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou |
| 2016 | COLING | Towards Time-Aware Knowledge Graph Completion. | Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui |
| 2016 | EMNLP | News Stream Summarization using Burst Information Networks. | Tao Ge, Lei Cui, Baobao Chang, Sujian Li, Ming Zhou, Zhifang Sui |
| 2016 | EMNLP | Encoding Temporal Information for Time-Aware Link Prediction. | Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui |
| 2015 | ACL | One Tense per Scene: Predicting Tense in Chinese Conversations. | Tao Ge, Heng Ji, Baobao Chang, Zhifang Sui |
| 2015 | ACL | Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles. | Tao Ge, Wenzhe Pei, Heng Ji, Sujian Li, Baobao Chang, Zhifang Sui |
| 2015 | ACL | An Effective Neural Network Model for Graph-based Dependency Parsing. | Wenzhe Pei, Tao Ge, Baobao Chang |
| 2015 | APWEB | Distinguishing Specific and Daily Topics. | Tao Ge, Wenzhe Pei, Baobao Chang, Zhifang Sui |
| 2014 | ACL | Max-Margin Tensor Neural Network for Chinese Word Segmentation. | Wenzhe Pei, Tao Ge, Baobao Chang |
| 2014 | WWW | A semi-supervised method for opinion target extraction. | Tao Ge, Wenjie Li, Zhifang Sui |
| 2013 | CIKM | Exploiting collaborative filtering techniques for automatic assessment of student free-text responses. | Tao Ge, Zhifang Sui, Baobao Chang |
| 2013 | EMNLP | Event-Based Time Label Propagation for Automatic Dating of News Articles. | Tao Ge, Baobao Chang, Sujian Li, Zhifang Sui |