A Ranking-based Approach to Word Reordering for Statistical Machine Translation. - Nan Yang 002; Mu Li 001; Dongdong Zhang 001; Nenghai Yu (ACL (1), 2012)

Word Alignment Modeling with Context Dependent Deep Neural Network. - Nan Yang 002; Shujie Liu 001; Mu Li 001; Ming Zhou 001; Nenghai Yu (ACL (1), 2013)

Punctuation Prediction with Transition-based Parsing. - Dongdong Zhang 001; Shuangzhi Wu; Nan Yang 002; Mu Li 001 (ACL (1), 2013)

A Recursive Recurrent Neural Network for Statistical Machine Translation. - Shujie Liu 001; Nan Yang 002; Mu Li 001; Ming Zhou 001 (ACL (1), 2014)

Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification. - Duyu Tang; Furu Wei; Nan Yang 002; Ming Zhou 001; Ting Liu 001; Bing Qin 001 (ACL (1), 2014)

Radical-Enhanced Chinese Character Embedding. - Yaming Sun; Lei Lin 001; Nan Yang 002; Zhenzhou Ji; Xiaolong Wang 001 (ICONIP (2), 2014)

Radical-Enhanced Chinese Character Embedding. - Yaming Sun; Lei Lin 001; Duyu Tang; Nan Yang 002; Zhenzhou Ji; Xiaolong Wang 001 (CoRR, 2014)

Modeling Mention, Context and Entity with Neural Networks for Entity Disambiguation. - Yaming Sun; Lei Lin 001; Duyu Tang; Nan Yang 002; Zhenzhou Ji; Xiaolong Wang 001 (IJCAI, 2015)

Jointly Modeling Topics and Intents with Global Order Structure. - Bei Chen; Jun Zhu 001; Nan Yang 002; Tian Tian 001; Ming Zhou 001; Bo Zhang 010 (AAAI, 2016)

Improving Attention Modeling with Implicit Distortion and Fertility for Machine Translation. - Shi Feng; Shujie Liu 001; Nan Yang 002; Mu Li 001; Ming Zhou 001; Kenny Q. Zhu (COLING, 2016)

Sentiment Embeddings with Applications to Sentiment Analysis. - Duyu Tang; Furu Wei; Bing Qin 001; Nan Yang 002; Ting Liu 001; Ming Zhou 001 (IEEE Trans. Knowl. Data Eng., 2016)

Gated Self-Matching Networks for Reading Comprehension and Question Answering. - Wenhui Wang 003; Nan Yang 002; Furu Wei; Baobao Chang; Ming Zhou 001 (ACL (1), 2017)

Sequence-to-Dependency Neural Machine Translation. - Shuangzhi Wu; Dongdong Zhang 001; Nan Yang 002; Mu Li 001; Ming Zhou 001 (ACL (1), 2017)

Selective Encoding for Abstractive Sentence Summarization. - Qingyu Zhou; Nan Yang 002; Furu Wei; Ming Zhou 001 (ACL (1), 2017)

Neural Question Generation from Text: A Preliminary Study. - Qingyu Zhou; Nan Yang 002; Furu Wei; Chuanqi Tan; Hangbo Bao; Ming Zhou 001 (NLPCC, 2017)

S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension. - Chuanqi Tan; Furu Wei; Nan Yang 002; Weifeng Lv; Ming Zhou 001 (CoRR, 2017)

S-Net: From Answer Extraction to Answer Synthesis for Machine Reading Comprehension. - Chuanqi Tan; Furu Wei; Nan Yang 002; Bowen Du 001; Weifeng Lv; Ming Zhou 001 (AAAI, 2018)

Sequential Copying Networks. - Qingyu Zhou; Nan Yang 002; Furu Wei; Ming Zhou 001 (AAAI, 2018)

Neural Document Summarization by Jointly Learning to Score and Select Sentences. - Qingyu Zhou; Nan Yang 002; Furu Wei; Shaohan Huang; Ming Zhou 001; Tiejun Zhao (ACL (1), 2018)

Attention-Guided Answer Distillation for Machine Reading Comprehension. - Minghao Hu; Yuxing Peng 001; Furu Wei; Zhen Huang 006; Dongsheng Li 001; Nan Yang 002; Ming Zhou 001 (EMNLP, 2018)

I Know There Is No Answer: Modeling Answer Validation for Machine Reading Comprehension. - Chuanqi Tan; Furu Wei; Qingyu Zhou; Nan Yang 002; Weifeng Lv; Ming Zhou 001 (NLPCC (1), 2018)

Read + Verify: Machine Reading Comprehension with Unanswerable Questions. - Minghao Hu; Furu Wei; Yuxing Peng 001; Zhen Huang 006; Nan Yang 002; Ming Zhou 001 (CoRR, 2018)

Context-Aware Answer Sentence Selection With Hierarchical Gated Recurrent Neural Networks. - Chuanqi Tan; Furu Wei; Qingyu Zhou; Nan Yang 002; Bowen Du 001; Weifeng Lv; Ming Zhou 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Dependency-to-Dependency Neural Machine Translation. - Shuangzhi Wu; Dongdong Zhang 001; Zhirui Zhang; Nan Yang 002; Mu Li 001; Ming Zhou 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Read + Verify: Machine Reading Comprehension with Unanswerable Questions. - Minghao Hu; Furu Wei; Yuxing Peng 001; Zhen Huang 006; Nan Yang 002; Dongsheng Li 001 (AAAI, 2019)

Inspecting Unification of Encoding and Matching with Transformer: A Case Study of Machine Reading Comprehension. - Hangbo Bao; Li Dong 004; Furu Wei; Wenhui Wang 003; Nan Yang 002; Lei Cui 001; Songhao Piao; Ming Zhou 001 (MRQA@EMNLP, 2019)

Unified Language Model Pre-training for Natural Language Understanding and Generation. - Li Dong 004; Nan Yang 002; Wenhui Wang 003; Furu Wei; Xiaodong Liu 003; Yu Wang 009; Jianfeng Gao 001; Ming Zhou 001; Hsiao-Wuen Hon (NeurIPS, 2019)

UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. - Hangbo Bao; Li Dong 004; Furu Wei; Wenhui Wang 003; Nan Yang 002; Xiaodong Liu 003; Yu Wang 009; Jianfeng Gao 001; Songhao Piao; Ming Zhou 001; Hsiao-Wuen Hon (ICML, 2020)

MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers. - Wenhui Wang 003; Furu Wei; Li Dong 004; Hangbo Bao; Nan Yang 002; Ming Zhou 001 (NeurIPS, 2020)

A Joint Sentence Scoring and Selection Framework for Neural Extractive Document Summarization. - Qingyu Zhou; Nan Yang 002; Furu Wei; Shaohan Huang; Ming Zhou 001; Tiejun Zhao (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering. - Nan Yang 002; Furu Wei; Binxing Jiao; Daxing Jiang; Linjun Yang (ACL/IJCNLP (1), 2021)

InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training. - Zewen Chi; Li Dong 004; Furu Wei; Nan Yang 002; Saksham Singhal; Wenhui Wang 003; Xia Song; Xian-Ling Mao; Heyan Huang; Ming Zhou 001 (NAACL-HLT, 2021)

s2s-ft: Fine-Tuning Pretrained Transformer Encoders for Sequence-to-Sequence Learning. - Hangbo Bao; Li Dong 004; Wenhui Wang 003; Nan Yang 002; Furu Wei (CoRR, 2021)

Learning Diverse Document Representations with Deep Query Interactions for Dense Retrieval. - Zehan Li; Nan Yang 002; Liang Wang 046; Furu Wei (CoRR, 2022)

Text Embeddings by Weakly-Supervised Contrastive Pre-training. - Liang Wang 046; Nan Yang 002; Xiaolong Huang; Binxing Jiao; Linjun Yang; Daxin Jiang; Rangan Majumder; Furu Wei (CoRR, 2022)

Multiview Identifiers Enhanced Generative Retrieval. - Yongqi Li 001; Nan Yang 002; Liang Wang 046; Furu Wei; Wenjie Li 002 (ACL (1), 2023)

SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval. - Liang Wang 046; Nan Yang 002; Xiaolong Huang; Binxing Jiao; Linjun Yang; Daxin Jiang; Rangan Majumder; Furu Wei (ACL (1), 2023)

Query2doc: Query Expansion with Large Language Models. - Liang Wang 046; Nan Yang 002; Furu Wei (EMNLP, 2023)

Inference with Reference: Lossless Acceleration of Large Language Models. - Nan Yang 002; Tao Ge 001; Liang Wang 046; Binxing Jiao; Daxin Jiang; Linjun Yang; Rangan Majumder; Furu Wei (CoRR, 2023)

Generative retrieval for conversational question answering. - Yongqi Li 001; Nan Yang 002; Liang Wang 046; Furu Wei; Wenjie Li 002 (Inf. Process. Manag., 2023)

Large Search Model: Redefining Search Stack in the Era of LLMs. - Liang Wang 046; Nan Yang 002; Xiaolong Huang; Linjun Yang; Rangan Majumder; Furu Wei (SIGIR Forum, 2023)

Learning to Rank in Generative Retrieval. - Yongqi Li 001; Nan Yang 002; Liang Wang 046; Furu Wei; Wenjie Li 002 (AAAI, 2024)

Improving Text Embeddings with Large Language Models. - Liang Wang 046; Nan Yang 002; Xiaolong Huang; Linjun Yang; Rangan Majumder; Furu Wei (ACL (1), 2024)

Learning to Retrieve In-Context Examples for Large Language Models. - Liang Wang 046; Nan Yang 002; Furu Wei (EACL (1), 2024)

LongEmbed: Extending Embedding Models for Long Context Retrieval. - Dawei Zhu; Liang Wang 046; Nan Yang 002; Yifan Song 002; Wenhao Wu; Furu Wei; Sujian Li (EMNLP, 2024)

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training. - Dawei Zhu; Nan Yang 002; Liang Wang 046; Yifan Song 002; Wenhao Wu; Furu Wei; Sujian Li (ICLR, 2024)

Fine-Tuning LLaMA for Multi-Stage Text Retrieval. - Xueguang Ma; Liang Wang 046; Nan Yang 002; Furu Wei; Jimmy Lin (SIGIR, 2024)

Multilingual E5 Text Embeddings: A Technical Report. - Liang Wang 046; Nan Yang 002; Xiaolong Huang; Linjun Yang; Rangan Majumder; Furu Wei (CoRR, 2024)

Bootstrap Your Own Context Length. - Liang Wang 046; Nan Yang 002; Xingxing Zhang; Xiaolong Huang; Furu Wei (CoRR, 2024)

Fine-tuning pretrained transformer encoders for sequence-to-sequence learning. - Hangbo Bao; Li Dong 004; Wenhui Wang 003; Nan Yang 002; Songhao Piao; Furu Wei (Int. J. Mach. Learn. Cybern., 2024)

mmE5: Improving Multimodal Multilingual Embeddings via High-quality Synthetic Data. - Haonan Chen 005; Liang Wang 046; Nan Yang 002; Yutao Zhu 001; Ziliang Zhao; Furu Wei; Zhicheng Dou (ACL (Findings), 2025)

Generative Representational Instruction Tuning. - Niklas Muennighoff; Hongjin Su; Liang Wang 046; Nan Yang 002; Furu Wei; Tao Yu 009; Amanpreet Singh; Douwe Kiela (ICLR, 2025)

Little Giants: Synthesizing High-Quality Embedding Data at Scale. - Haonan Chen 005; Liang Wang 046; Nan Yang 002; Yutao Zhu 001; Ziliang Zhao; Furu Wei; Zhicheng Dou (NAACL (Long Papers), 2025)

Chain-of-Retrieval Augmented Generation. - Liang Wang 046; Haonan Chen 005; Nan Yang 002; Xiaolong Huang; Zhicheng Dou; Furu Wei (CoRR, 2025)

MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings. - Haonan Chen 005; Hong Liu; Yuping Luo; Liang Wang 046; Nan Yang 002; Furu Wei; Zhicheng Dou (CoRR, 2025)