Sampling-based Alignment and Hierarchical Sub-sentential Alignment in Chinese-Japanese Translation of Patents. - Wei Yang; Zhongwen Zhao; Baosong Yang; Yves Lepage (WAT, 2015)

Leveraging the Advantages of Associative Alignment Methods for PB-SMT Systems. - Baosong Yang; Yves Lepage (LTC, 2015)

Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation. - Baosong Yang; Derek F. Wong; Tong Xiao; Lidia S. Chao; Jingbo Zhu (EMNLP, 2017)

Multi-Head Attention with Disagreement Regularization. - Jian Li 054; Zhaopeng Tu; Baosong Yang; Michael R. Lyu; Tong Zhang 001 (EMNLP, 2018)

Modeling Localness for Self-Attention Networks. - Baosong Yang; Zhaopeng Tu; Derek F. Wong; Fandong Meng; Lidia S. Chao; Tong Zhang 001 (EMNLP, 2018)

Context-Aware Self-Attention Networks. - Baosong Yang; Jian Li 054; Derek F. Wong; Lidia S. Chao; Xing Wang 007; Zhaopeng Tu (AAAI, 2019)

Leveraging Local and Global Patterns for Self-Attention Networks. - Mingzhou Xu; Derek F. Wong; Baosong Yang; Yue Zhang 004; Lidia S. Chao (ACL (1), 2019)

Assessing the Ability of Self-Attention Networks to Learn Word Order. - Baosong Yang; Longyue Wang; Derek F. Wong; Lidia S. Chao; Zhaopeng Tu (ACL (1), 2019)

Modeling Recurrence for Transformer. - Jie Hao; Xing Wang 007; Baosong Yang; Longyue Wang; Jinfeng Zhang; Zhaopeng Tu (NAACL-HLT (1), 2019)

Information Aggregation for Multi-Head Attention with Routing-by-Agreement. - Jian Li 054; Baosong Yang; Zi-Yi Dou; Xing Wang 007; Michael R. Lyu; Zhaopeng Tu (NAACL-HLT (1), 2019)

Convolutional Self-Attention Networks. - Baosong Yang; Longyue Wang; Derek F. Wong; Lidia S. Chao; Zhaopeng Tu (NAACL-HLT (1), 2019)

Neuron Interaction Based Representation Composition for Neural Machine Translation. - Jian Li 054; Xing Wang 007; Baosong Yang; Shuming Shi 001; Michael R. Lyu; Zhaopeng Tu (AAAI, 2020)

Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling. - Yu Wan 004; Baosong Yang; Derek F. Wong; Lidia S. Chao; Haihua Du; Ben C. H. Ao (AAAI, 2020)

Uncertainty-Aware Curriculum Learning for Neural Machine Translation. - Yikai Zhou; Baosong Yang; Derek F. Wong; Yu Wan 004; Lidia S. Chao (ACL, 2020)

Domain Transfer based Data Augmentation for Neural Query Translation. - Liang Yao; Baosong Yang; Haibo Zhang 013; Boxing Chen; Weihua Luo (COLING, 2020)

Self-Paced Learning for Neural Machine Translation. - Yu Wan 004; Baosong Yang; Derek F. Wong; Yikai Zhou; Lidia S. Chao; Haibo Zhang 013; Boxing Chen (EMNLP (1), 2020)

Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval. - Tianchi Bi; Liang Yao; Baosong Yang; Haibo Zhang 013; Weihua Luo; Boxing Chen (CoRR, 2020)

Exploiting Neural Query Translation into Cross Lingual Information Retrieval. - Liang Yao; Baosong Yang; Haibo Zhang 013; Weihua Luo; Boxing Chen (CoRR, 2020)

Improving tree-based neural machine translation with dynamic lexicalized dependency encoding. - Baosong Yang; Derek F. Wong; Lidia S. Chao; Min Zhang 005 (Knowl. Based Syst., 2020)

Towards User-Driven Neural Machine Translation. - Huan Lin; Liang Yao; Baosong Yang; Dayiheng Liu; Haibo Zhang 013; Weihua Luo; Degen Huang; Jinsong Su (ACL/IJCNLP (1), 2021)

Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation. - Xin Liu 066; Baosong Yang; Dayiheng Liu; Haibo Zhang 013; Weihua Luo; Min Zhang 005; Haiying Zhang; Jinsong Su (ACL/IJCNLP (1), 2021)

Multi-Hop Transformer for Document-Level Machine Translation. - Long Zhang; Tong Zhang 001; Haibo Zhang 013; Baosong Yang; Wei Ye 004; Shikun Zhang (NAACL-HLT, 2021)

RoBLEURT Submission for WMT2021 Metrics Task. - Yu Wan 004; Dayiheng Liu; Baosong Yang; Tianchi Bi; Haibo Zhang 013; Boxing Chen; Weihua Luo; Derek F. Wong; Lidia S. Chao (WMT@EMNLP, 2021)

Leveraging Advantages of Interactive and Non-Interactive Models for Vector-Based Cross-Lingual Information Retrieval. - Linlong Xu; Baosong Yang; Xiaoyu Lv; Tianchi Bi; Dayiheng Liu; Haibo Zhang 013 (CoRR, 2021)

KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation. - Xin Liu 066; Dayiheng Liu; Baosong Yang; Haibo Zhang 013; Junwei Ding; Wenqing Yao; Weihua Luo; Haiying Zhang; Jinsong Su (CoRR, 2021)

Context-aware Self-Attention Networks for Natural Language Processing. - Baosong Yang; Longyue Wang; Derek F. Wong; Shuming Shi 001; Zhaopeng Tu (Neurocomputing, 2021)

KGR4: Retrieval, Retrospect, Refine and Rethink for Commonsense Generation. - Xin Liu 066; Dayiheng Liu; Baosong Yang; Haibo Zhang 013; Junwei Ding; Wenqing Yao; Weihua Luo; Haiying Zhang; Jinsong Su (AAAI, 2022)

Frequency-Aware Contrastive Learning for Neural Machine Translation. - Tong Zhang 001; Wei Ye 004; Baosong Yang; Long Zhang; Xingzhang Ren; Dayiheng Liu; Jinan Sun; Shikun Zhang; Haibo Zhang 013; Wen Zhao (AAAI, 2022)

GCPG: A General Framework for Controllable Paraphrase Generation. - Kexin Yang 002; Dayiheng Liu; Wenqiang Lei; Baosong Yang; Haibo Zhang 013; Xue Zhao; Wenqing Yao; Boxing Chen (ACL (Findings), 2022)

UniTE: Unified Translation Evaluation. - Yu Wan 004; Dayiheng Liu; Baosong Yang; Haibo Zhang 013; Boxing Chen; Derek F. Wong; Lidia S. Chao (ACL (1), 2022)

Attention Mechanism with Energy-Friendly Operations. - Yu Wan 004; Baosong Yang; Dayiheng Liu; Rong Xiao 001; Derek F. Wong; Haibo Zhang 013; Boxing Chen; Lidia S. Chao (ACL (Findings), 2022)

Unsupervised Preference-Aware Language Identification. - Xingzhang Ren; Baosong Yang; Dayiheng Liu; Haibo Zhang 013; Xiaoyu Lv; Liang Yao; Jun Xie (ACL (Findings), 2022)

Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality? - Pei Zhang 011; Baosong Yang; Haoran Wei; Dayiheng Liu; Kai Fan 002; Luo Si; Jun Xie (EMNLP, 2022)

WR-One2Set: Towards Well-Calibrated Keyphrase Generation. - Binbin Xie; Xiangpeng Wei; Baosong Yang; Huan Lin; Jun Xie; Xiaoli Wang 002; Min Zhang 005; Jinsong Su (EMNLP, 2022)

Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation. - Huan Lin; Baosong Yang; Liang Yao; Dayiheng Liu; Haibo Zhang 013; Jun Xie; Min Zhang 005; Jinsong Su (NAACL-HLT (Findings), 2022)

Dangling-Aware Entity Alignment with Mixed High-Order Proximities. - Juncheng Liu; Zequn Sun; Bryan Hooi; Yiwei Wang 001; Dayiheng Liu; Baosong Yang; Xiaokui Xiao; Muhao Chen 001 (NAACL-HLT (Findings), 2022)

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. - Yiwei Wang 001; Muhao Chen 001; Wenxuan Zhou; Yujun Cai; Yuxuan Liang; Dayiheng Liu; Baosong Yang; Juncheng Liu; Bryan Hooi (NAACL-HLT, 2022)

Cross-Lingual Product Retrieval in E-Commerce Search. - Wenya Zhu; Xiaoyu Lv; Baosong Yang; Yinghua Zhang; Xu Yong; Linlong Xu; Yinfu Feng; Haibo Zhang 013; Qing Da; Anxiang Zeng; Ronghua Chen (PAKDD (2), 2022)

Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task. - Keqin Bao; Yu Wan 004; Dayiheng Liu; Baosong Yang; Wenqiang Lei; Xiangnan He 001; Derek F. Wong; Jun Xie (WMT, 2022)

Alibaba-Translate China's Submission for WMT2022 Metrics Shared Task. - Yu Wan 004; Keqin Bao; Dayiheng Liu; Baosong Yang; Derek F. Wong; Lidia S. Chao; Wenqiang Lei; Jun Xie (WMT, 2022)

Effective Approaches to Neural Query Language Identification. - Xingzhang Ren; Baosong Yang; Dayiheng Liu; Haibo Zhang 013; Xiaoyu Lv; Liang Yao; Jun Xie (Comput. Linguistics, 2022)

Challenges of Neural Machine Translation for Short Texts. - Yu Wan 004; Baosong Yang; Derek Fai Wong; Lidia S. Chao; Liang Yao; Haibo Zhang 013; Boxing Chen (Comput. Linguistics, 2022)

RMBR: A Regularized Minimum Bayes Risk Reranking Framework for Machine Translation. - Yidan Zhang; Yu Wan 004; Dayiheng Liu; Baosong Yang; Zhenan He 001 (CoRR, 2022)

Tailor: A Prompt-Based Approach to Attribute-Based Controlled Text Generation. - Kexin Yang 002; Dayiheng Liu; Wenqiang Lei; Baosong Yang; Mingfeng Xue; Boxing Chen; Jun Xie (CoRR, 2022)

Draft, Command, and Edit: Controllable Text Editing in E-Commerce. - Kexin Yang 002; Dayiheng Liu; Wenqiang Lei; Baosong Yang; Qian Qu; Jiancheng Lv 001 (CoRR, 2022)

Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task. - Yu Wan 004; Keqin Bao; Dayiheng Liu; Baosong Yang; Derek F. Wong; Lidia S. Chao; Wenqiang Lei; Jun Xie (CoRR, 2022)

Multi-view self-attention networks. - Mingzhou Xu; Baosong Yang; Derek F. Wong; Lidia S. Chao (Knowl. Based Syst., 2022)

Tailor: A Soft-Prompt-Based Approach to Attribute-Based Controlled Text Generation. - Kexin Yang 002; Dayiheng Liu; Wenqiang Lei; Baosong Yang; Mingfeng Xue; Boxing Chen; Jun Xie (ACL (1), 2023)

Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation. - Zhiwei Cao; Baosong Yang; Huan Lin; Suhang Wu; Xiangpeng Wei; Dayiheng Liu; Jun Xie; Min Zhang 005; Jinsong Su (ACL (1), 2023)

Fantastic Expressions and Where to Find Them: Chinese Simile Generation with Multiple Constraints. - Kexin Yang 002; Dayiheng Liu; Wenqiang Lei; Baosong Yang; Xiangpeng Wei; Zhengyuan Liu; Jun Xie (ACL (1), 2023)

MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks. - Shangjie Li; Xiangpeng Wei; Shaolin Zhu; Jun Xie; Baosong Yang; Deyi Xiong (EMNLP, 2023)

Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation. - Mingfeng Xue; Dayiheng Liu; Wenqiang Lei; Jie Fu 001; Jian Lan; Mei Li; Baosong Yang; Jun Xie; Yidan Zhang; Dezhong Peng; Jiancheng Lv 001 (EMNLP, 2023)

Dynamic Voting for Efficient Reasoning in Large Language Models. - Mingfeng Xue; Dayiheng Liu; Wenqiang Lei; Xingzhang Ren; Baosong Yang; Jun Xie; Yidan Zhang; Dezhong Peng; Jiancheng Lv 001 (EMNLP (Findings), 2023)

EMMA-X: An EM-like Multilingual Pre-training Algorithm for Cross-lingual Representation Learning. - Ping Guo 002; Xiangpeng Wei; Yue Hu 002; Baosong Yang; Dayiheng Liu; Fei Huang 002; Jun Xie (NeurIPS, 2023)

Imitation Attacks Can Steal More Than You Think from Machine Translation Systems. - Tianxiang Hu; Pei Zhang 011; Baosong Yang; Jun Xie; Rui Wang 015 (NLPCC (1), 2023)

Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors. - Keqin Bao; Yu Wan 004; Dayiheng Liu; Baosong Yang; Wenqiang Lei; Xiangnan He 001; Derek F. Wong; Jun Xie (CoRR, 2023)

PolyLM: An Open Source Polyglot Large Language Model. - Xiangpeng Wei; Haoran Wei; Huan Lin; Tianhao Li; Pei Zhang 011; Xingzhang Ren; Mei Li; Yu Wan 004; Zhiwei Cao; Binbin Xie; Tianxiang Hu; Shangjie Li; et al. (CoRR, 2023)

From statistical methods to deep learning, automatic keyphrase prediction: A survey. - Binbin Xie; Jia Song 003; Liangying Shao; Suhang Wu; Xiangpeng Wei; Baosong Yang; Huan Lin; Jun Xie; Jinsong Su (Inf. Process. Manag., 2023)

Towards Energy-Preserving Natural Language Understanding With Spiking Neural Networks. - Rong Xiao 001; Yu Wan 004; Baosong Yang; Haibo Zhang 013; Huajin Tang; Derek F. Wong; Boxing Chen (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval. - Yan Gao 017; Zhiwei Cao; Zhongjian Miao; Baosong Yang; Shiyu Liu; Min Zhang 005; Jinsong Su (ACL (Findings), 2024)

Meta-Reasoning: Semantics-Symbol Deconstruction for Large Language Models. - Yiming Wang 011; Zhuosheng Zhang 001; Pei Zhang 011; Baosong Yang; Rui Wang 015 (ACL (Findings), 2024)

MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation. - Jianhui Pang; Baosong Yang; Derek F. Wong; Dayiheng Liu; Xiangpeng Wei; Jun Xie; Lidia S. Chao (LREC/COLING, 2024)

Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning. - Tianxiang Hu; Pei Zhang 011; Baosong Yang; Jun Xie; Derek F. Wong; Rui Wang 015 (EMNLP (Findings), 2024)

AnyTrans: Translate AnyText in the Image with Large Scale Models. - Zhipeng Qian; Pei Zhang 011; Baosong Yang; Kai Fan 002; Yiwei Ma; Derek F. Wong; Xiaoshuai Sun; Rongrong Ji (EMNLP (Findings), 2024)

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval. - Xin Zhang 097; Yanzhao Zhang; Dingkun Long; Wen Xie; Ziqi Dai; Jialong Tang; Huan Lin; Baosong Yang; Pengjun Xie; Fei Huang 002; Meishan Zhang; Wenjie Li 002; et al. (EMNLP (Industry Track), 2024)

Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning. - Yiming Wang 011; Pei Zhang 011; Baosong Yang; Derek F. Wong; Zhuosheng Zhang 001; Rui Wang 015 (NeurIPS, 2024)

SJTU System Description for the WMT24 Low-Resource Languages of Spain Task. - Tianxiang Hu; Haoxiang Sun; Ruize Gao; Jialong Tang; Pei Zhang 011; Baosong Yang; Rui Wang 015 (WMT, 2024)

Final Submission of SJTULoveFiction to Literary Task. - Haoxiang Sun; Tianxiang Hu; Ruize Gao; Jialong Tang; Pei Zhang 011; Baosong Yang; Rui Wang 015 (WMT, 2024)

Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning. - Yiming Wang 011; Pei Zhang 011; Baosong Yang; Derek F. Wong; Zhuosheng Zhang 001; Rui Wang 015 (CoRR, 2024)

MoE-CT: A Novel Approach For Large Language Models Training With Resistance To Catastrophic Forgetting. - Tianhao Li; Shangjie Li; Binbin Xie; Deyi Xiong; Baosong Yang (CoRR, 2024)

Qwen2 Technical Report. - An Yang; Baosong Yang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Zhou; Chengpeng Li 001; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Guanting Dong; Haoran Wei; et al. (CoRR, 2024)

Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented Generation. - Suhang Wu; Jialong Tang; Baosong Yang; Ante Wang; Kaidi Jia; Jiawei Yu; Junfeng Yao; Jinsong Su (CoRR, 2024)

ZhoBLiMP: a Systematic Assessment of Language Models with Linguistic Minimal Pairs in Chinese. - Yikang Liu 002; Yeting Shen; Hongao Zhu; Lilong Xu; Zhiheng Qian; Siyuan Song; Kejia Zhang; Jialong Tang; Pei Zhang 011; Baosong Yang; Rui Wang 015; Hai Hu (CoRR, 2024)

P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs. - Yidan Zhang; Boyi Deng; Yu Wan 004; Baosong Yang; Haoran Wei; Fei Huang 005; Bowen Yu 002; Junyang Lin; Fei Huang 002; Jingren Zhou 001 (CoRR, 2024)

Qwen2.5 Technical Report. - An Yang; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chengyuan Li; Dayiheng Liu; Fei Huang 005; Haoran Wei; Huan Lin; Jian Yang 003; et al. (CoRR, 2024)

Rethinking the Exploitation of Monolingual Data for Low-Resource Neural Machine Translation. - Jianhui Pang; Baosong Yang; Derek Fai Wong; Yu Wan 004; Dayiheng Liu; Lidia S. Chao; Jun Xie (Comput. Linguistics, 2024)

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders. - Boyi Deng; Yu Wan 004; Baosong Yang; Yidan Zhang; Fuli Feng (ACL (1), 2025)

Enhancing Machine Translation with Self-Supervised Preference Data. - Haoxiang Sun; Ruize Gao; Pei Zhang 011; Baosong Yang; Rui Wang 015 (ACL (1), 2025)

Locate-and-Focus: Enhancing Terminology Translation in Speech Language Models. - Suhang Wu; Jialong Tang; Chengyi Yang; Pei Zhang 011; Baosong Yang; Junhui Li; Junfeng Yao; Min Zhang 005; Jinsong Su (ACL (1), 2025)

From English to Second Language Mastery: Enhancing LLMs with Cross-Lingual Continued Instruction Tuning. - Linjuan Wu; Haoran Wei; Baosong Yang; Weiming Lu 001 (ACL (1), 2025)

Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation. - Yiming Wang 011; Pei Zhang 011; Baosong Yang; Derek F. Wong; Rui Wang 015 (ICLR, 2025)

MinMo: A Multimodal Large Language Model for Seamless Voice Interaction. - Qian Chen 003; Yafeng Chen; Yanni Chen; Mengzhe Chen; Yingda Chen; Chong Deng; Zhihao Du; Ruize Gao; Changfeng Gao; Zhifu Gao; Yabin Li; Xiang Lv; et al. (CoRR, 2025)

Sampling-Efficient Test-Time Scaling: Self-Estimating the Best-of-N Sampling in Early Decoding. - Yiming Wang 011; Pei Zhang 011; Siyuan Huang; Baosong Yang; Zhuosheng Zhang 001; Fei Huang 002; Rui Wang 015 (CoRR, 2025)

PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts. - Yiming Wang 011; Pei Zhang 011; Jialong Tang; Haoran Wei; Baosong Yang; Rui Wang; Chenshu Sun; Feitong Sun; Jiran Zhang; Junxuan Wu; Qiqian Cang; Yichang Zhang; et al. (CoRR, 2025)

Enhancing LLM Language Adaption through Cross-lingual In-Context Pre-training. - Linjuan Wu; Haoran Wei; Huan Lin; Tianhao Li; Baosong Yang; Weiming Lu (CoRR, 2025)

Qwen3 Technical Report. - An Yang; Anfeng Li; Baosong Yang; Beichen Zhang; Binyuan Hui; Bo Zheng 007; Bowen Yu 002; Chang Gao; Chengen Huang; Chenxu Lv; Chujie Zheng; Dayiheng Liu; et al. (CoRR, 2025)

ConText: Driving In-context Learning for Text Removal and Segmentation. - Fei Zhang 016; Pei Zhang 011; Baosong Yang; Fei Huang 002; Yanfeng Wang 001; Ya Zhang 002 (CoRR, 2025)

Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models. - Yanzhao Zhang; Mingxin Li; Dingkun Long; Xin Zhang 097; Huan Lin; Baosong Yang; Pengjun Xie; An Yang; Dayiheng Liu; Junyang Lin; Fei Huang 002; Jingren Zhou 001 (CoRR, 2025)

Translationese-index: Using Likelihood Ratios for Graded and Generalizable Measurement of Translationese. - Yikang Liu 002; Wanyang Zhang; Yiming Wang 011; Jialong Tang; Pei Zhang 011; Baosong Yang; Fei Huang 002; Rui Wang 015; Hai Hu (CoRR, 2025)

Sparse Autoencoder-guided Supervised Finetuning to Mitigate Unexpected Code-Switching in LLMs. - Boyi Deng; Yu Wan 004; Baosong Yang; Fei Huang 002; Wenjie Wang 007; Fuli Feng (CoRR, 2025)