| 2026 | ACL | XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics. | Jingxuan Liu, Zhi Qu, Jin Tei, Hidetaka Kamigaito, Lemao Liu, Taro Watanabe |
| 2026 | ACL | ReFreeKV: Towards Threshold-Free KV Cache Compression. | Xuanfan Ni, Liyan Xu, Chenyang Lyu, Longyue Wang, Mo Yu, Lemao Liu, Fandong Meng, Jie Zhou, Piji Li |
| 2026 | ACL | Situated Embedding Models for Context-Aware Dense Retrieval. | Junjie Wu, Jiangnan Li, Yuqing Li, Lemao Liu, Liyan Xu, Jiwei Li, Dit-Yan Yeung, Jie Zhou, Mo Yu |
| 2025 | EMNLP | DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models. | Tsz Ting Chung, Lemao Liu, Mo Yu, Dit-Yan Yeung |
| 2025 | NAACL | Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task. | Junjie Wu, Mo Yu, Lemao Liu, Dit-Yan Yeung, Jie Zhou |
| 2025 | NAACL | The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding. | Mo Yu, Lemao Liu, Junjie Wu, Tsz Ting Chung, Shunchi Zhang, Jiangnan Li, Dit-Yan Yeung, Jie Zhou |
| 2024 | ACL | Advancement in Graph Understanding: A Multimodal Benchmark and Fine-Tuning of Vision-Language Models. | Qihang Ai, Jiafan Li, Jincheng Dai, Jianwu Zhou, Lemao Liu, Haiyun Jiang, Shuming Shi |
| 2024 | ACL | Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction. | Tingchen Fu, Deng Cai, Lemao Liu, Shuming Shi, Rui Yan |
| 2024 | ACL | TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild. | Huayang Li, Siheng Li, Deng Cai, Longyue Wang, Lemao Liu, Taro Watanabe, Yujiu Yang, Shuming Shi |
| 2024 | ACL | BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. | Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong |
| 2024 | ACL | On the Hallucination in Simultaneous Machine Translation. | Meizhi Zhong, Kehai Chen, Zhengshan Xue, Lemao Liu, Mingming Yang, Min Zhang |
| 2024 | ACL | Context Consistency between Training and Inference in Simultaneous Machine Translation. | Meizhi Zhong, Lemao Liu, Kehai Chen, Mingming Yang, Min Zhang |
| 2024 | EMNLP | Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability. | Tsz Ting Chung, Leyang Cui, Lemao Liu, Xinting Huang, Shuming Shi, Dit-Yan Yeung |
| 2024 | EMNLP | Cross-lingual Contextualized Phrase Retrieval. | Huayang Li, Deng Cai, Zhi Qu, Qu Cui, Hidetaka Kamigaito, Lemao Liu, Taro Watanabe |
| 2024 | EMNLP | Rethinking the Evaluation of In-Context Learning for LLMs. | Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao |
| 2024 | ICASSP | Rethinking Targeted Adversarial Attacks for Neural Machine Translation. | Junjie Wu, Lemao Liu, Wei Bi, Dit-Yan Yeung |
| 2024 | ICASSP | Hint-Enhanced In-Context Learning Wakes Large Language Models Up For Knowledge-Intensive Tasks. | Yifan Wang, Qingyan Guo, Xinzhe Ni, Chufan Shi, Lemao Liu, Haiyun Jiang, Yujiu Yang |
| 2024 | ICLR | The Reasonableness Behind Unreasonable Translation Capability of Large Language Model. | Tingchen Fu, Lemao Liu, Deng Cai, Guoping Huang, Shuming Shi, Rui Yan |
| 2023 | ACL | On the Compositional Generalization in Versatile Open-domain Dialogue. | Tingchen Fu, Xueliang Zhao, Lemao Liu, Rui Yan |
| 2023 | ACL | Rethinking Translation Memory Augmented Neural Machine Translation. | Hongkun Hao, Guoping Huang, Lemao Liu, Zhirui Zhang, Shuming Shi, Rui Wang |
| 2023 | ACL | Unsupervised Keyphrase Extraction by Learning Neural Keyphrase Set Function. | Mingyang Song, Haiyun Jiang, Lemao Liu, Shuming Shi, Liping Jing |
| 2023 | ACL | Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation. | Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi, Xiang Ao |
| 2023 | ACL | E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition. | Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, Bingzhe Wu |
| 2023 | ACL | SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation. | Xueliang Zhao, Tingchen Fu, Lemao Liu, Lingpeng Kong, Shuming Shi, Rui Yan |
| 2023 | EMNLP | Rethinking Word-Level Auto-Completion in Computer-Aided Translation. | Xingyu Chen, Lemao Liu, Guoping Huang, Zhirui Zhang, Mingming Yang, Shuming Shi, Rui Wang |
| 2023 | EMNLP | Logic Unveils Truth, While Disguise Obscures It: Transition Logic Augmented Response Selection for Multi-Turn Dialogue. | Tingchen Fu, Xueliang Zhao, Lemao Liu, Rui Yan |
| 2023 | EMNLP | Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer. | Ruize Gao, Zhirui Zhang, Yichao Du, Lemao Liu, Rui Wang |
| 2023 | EMNLP | IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems. | Xu Huang, Zhirui Zhang, Ruize Gao, Yichao Du, Lemao Liu, Guoping Huang, Shuming Shi, Jiajun Chen, Shujian Huang |
| 2023 | EMNLP | Towards General Error Diagnosis via Behavioral Testing in Machine Translation. | Junjie Wu, Lemao Liu, Dit-Yan Yeung |
| 2023 | EMNLP | DistillCSE: Distilled Contrastive Learning for Sentence Embeddings. | Jiahao Xu, Wei Shao, Lihui Chen, Lemao Liu |
| 2023 | EMNLP | SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives. | Jiahao Xu, Wei Shao, Lihui Chen, Lemao Liu |
| 2023 | EMNLP | Retrieval-Augmented Few-shot Text Classification. | Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi, Xiang Ao |
| 2023 | ICASSP | A Simple Yet Effective Approach to Structured Knowledge Distillation. | Wenye Lin, Yangming Li, Lemao Liu, Shuming Shi, Hai-Tao Zheng |
| 2023 | ICLR | Federated Nearest Neighbor Machine Translation. | Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen |
| 2022 | ACL | Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing. | Yi Chen, Jiayang Cheng, Haiyun Jiang, Lemao Liu, Haisong Zhang, Shuming Shi, Ruifeng Xu |
| 2022 | ACL | Rethinking Negative Sampling for Handling Missing Entity Annotations. | Yangming Li, Lemao Liu, Shuming Shi |
| 2022 | ACL | Visualizing the Relationship Between Encoded Linguistic Information and Task Performance. | Jiannan Xiang, Huayang Li, Defu Lian, Guoping Huang, Taro Watanabe, Lemao Liu |
| 2022 | ACL | Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics. | Jiannan Xiang, Huayang Li, Yahui Liu, Lemao Liu, Guoping Huang, Defu Lian, Shuming Shi |
| 2022 | ACL | BiTIIMT: A Bilingual Text-infilling Method for Interactive Machine Translation. | Yanling Xiao, Lemao Liu, Guoping Huang, Qu Cui, Shujian Huang, Shuming Shi, Jiajun Chen |
| 2022 | EMNLP | MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation. | Yi Chen, Haiyun Jiang, Lemao Liu, Rui Wang, Shuming Shi, Ruifeng Xu |
| 2022 | EMNLP | Neural Machine Translation with Contrastive Translation Memories. | Xin Cheng, Shen Gao, Lemao Liu, Dongyan Zhao, Rui Yan |
| 2022 | EMNLP | On the Evaluation Metrics for Paraphrase Generation. | Lingfeng Shen, Lemao Liu, Haiyun Jiang, Shuming Shi |
| 2022 | EMNLP | Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure. | Xueliang Zhao, Lemao Liu, Tingchen Fu, Shuming Shi, Dongyan Zhao, Rui Yan |
| 2022 | NAACL | On Synthetic Data for Back Translation. | Jiahao Xu, Yubin Ruan, Wei Bi, Guoping Huang, Shuming Shi, Lihui Chen, Lemao Liu |
| 2022 | SIGIR | Recent Advances in Retrieval-Augmented Text Generation. | Deng Cai, Yan Wang, Lemao Liu, Shuming Shi |
| 2021 | ACL | Neural Machine Translation with Monolingual Translation Memory. | Deng Cai, Yan Wang, Huayang Li, Wai Lam, Lemao Liu |
| 2021 | ACL | Enhancing the Open-Domain Dialogue Evaluation in Latent Space. | Zhangming Chan, Lemao Liu, Juntao Li, Haisong Zhang, Dongyan Zhao, Shuming Shi, Rui Yan |
| 2021 | ACL | Fast and Accurate Neural Machine Translation with Translation Memory. | Qiuxiang He, Guoping Huang, Qu Cui, Li Li, Lemao Liu |
| 2021 | ACL | GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation. | Huayang Li, Lemao Liu, Guoping Huang, Shuming Shi |
| 2021 | ACL | TexSmart: A System for Enhanced Natural Language Understanding. | Lemao Liu, Haisong Zhang, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Dick Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi |
| 2021 | ACL | Engage the Public: Poll Question Generation for Social Media Posts. | Zexin Lu, Keyang Ding, Yuji Zhang, Jing Li, Baolin Peng, Lemao Liu |
| 2021 | ACL | Assessing Dialogue Systems with Distribution Distances. | Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, Lemao Liu |
| 2021 | EMNLP | An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing. | Yi Chen, Haiyun Jiang, Lemao Liu, Shuming Shi, Chuang Fan, Min Yang, Ruifeng Xu |
| 2021 | EMNLP | A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base. | Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li, Hong Chen |
| 2021 | EMNLP | Segmenting Natural Language Sentences via Lexical Unit Analysis. | Yangming Li, Lemao Liu, Shuming Shi |
| 2021 | EMNLP | Fine-grained Entity Typing without Knowledge Base. | Jing Qian, Yibin Liu, Lemao Liu, Yangming Li, Haiyun Jiang, Haisong Zhang, Shuming Shi |
| 2021 | ICLR | Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition. | Yangming Li, Lemao Liu, Shuming Shi |
| 2021 | NAACL | Neural Sequence Segmentation as Determining the Leftmost Segments. | Yangming Li, Lemao Liu, Kaisheng Yao |
| 2020 | AAAI | Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation. | Tianxiang Zhao, Lemao Liu, Guoping Huang, Huayang Li, Yingling Liu, Guiquan Liu, Shuming Shi |
| 2020 | ACL | Evaluating Explanation Methods for Neural Machine Translation. | Jierui Li, Lemao Liu, Huayang Li, Guanlin Li, Guoping Huang, Shuming Shi |
| 2020 | ACL | Regularized Context Gates on Transformer for Machine Translation. | Xintong Li, Lemao Liu, Rui Wang, Guoping Huang, Max Meng |
| 2020 | EMNLP | On the Branching Bias of Syntax Extracted from Pre-trained Language Models. | Huayang Li, Lemao Liu, Guoping Huang, Shuming Shi |
| 2020 | IJCNLP | Touch Editing: A Flexible One-Time Interaction Approach for Translation. | Qian Wang, Jiajun Zhang, Lemao Liu, Guoping Huang, Chengqing Zong |
| 2019 | AAAI | Graph Based Translation Memory for Neural Machine Translation. | Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi |
| 2019 | ACL | On the Word Alignment from Neural Machine Translation. | Xintong Li, Guanlin Li, Lemao Liu, Max Meng, Shuming Shi |
| 2019 | EMNLP | Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization. | Guanlin Li, Lemao Liu, Guoping Huang, Conghui Zhu, Tiejun Zhao |
| 2019 | NAACL | Understanding and Improving Hidden Representations for Neural Machine Translation. | Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi |
| 2018 | AAAI | Improving Sequence-to-Sequence Constituency Parsing. | Lemao Liu, Muhua Zhu, Shuming Shi |
| 2018 | ACL | Automatic Article Commenting: the Task and Dataset. | Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi |
| 2018 | NAACL | Target Foresight Based Attention for Neural Machine Translation. | Xintong Li, Lemao Liu, Zhaopeng Tu, Shuming Shi, Max Meng |
| 2017 | AAAI | Translation Prediction with Source Dependency-Based Context Representation. | Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu |
| 2017 | AAAI | Deterministic Attention for Sequence-to-Sequence Constituent Parsing. | Chunpeng Ma, Lemao Liu, Akihiro Tamura, Tiejun Zhao, Eiichiro Sumita |
| 2017 | EMNLP | Neural Machine Translation with Source Dependency Representation. | Kehai Chen, Rui Wang, Masao Utiyama, Lemao Liu, Akihiro Tamura, Eiichiro Sumita, Tiejun Zhao |
| 2017 | EMNLP | Instance Weighting for Neural Machine Translation Domain Adaptation. | Rui Wang, Masao Utiyama, Lemao Liu, Kehai Chen, Eiichiro Sumita |
| 2016 | AAAI | Agreement on Target-Bidirectional LSTMs for Sequence-to-Sequence Learning. | Lemao Liu, Andrew M. Finch, Masao Utiyama, Eiichiro Sumita |
| 2016 | COLING | Neural Machine Translation with Supervised Attention. | Lemao Liu, Masao Utiyama, Andrew M. Finch, Eiichiro Sumita |
| 2016 | ICASSP | Local fisher discriminant analysis for spoken language identification. | Peng Shen, Xugang Lu, Lemao Liu, Hisashi Kawai |
| 2016 | NAACL | Agreement on Target-bidirectional Neural Machine Translation. | Lemao Liu, Masao Utiyama, Andrew M. Finch, Eiichiro Sumita |
| 2014 | ACL | Scalable Large-Margin Structured Learning: Theory and Algorithms. | Liang Huang, Kai Zhao, Lemao Liu |
| 2014 | EMNLP | Search-Aware Tuning for Machine Translation. | Lemao Liu, Liang Huang |
| 2013 | ACL | Additive Neural Networks for Statistical Machine Translation. | Lemao Liu, Taro Watanabe, Eiichiro Sumita, Tiejun Zhao |
| 2013 | IJCNLP | Tuning SMT with a Large Number of Features via Online Feature Grouping. | Lemao Liu, Tiejun Zhao, Taro Watanabe, Eiichiro Sumita |
| 2012 | COLING | Expected Error Minimization with Ultraconservative Update for SMT. | Lemao Liu, Tiejun Zhao, Taro Watanabe, Hailong Cao, Conghui Zhu |
| 2012 | EMNLP | Locally Training the Log-Linear Model for SMT. | Lemao Liu, Hailong Cao, Taro Watanabe, Tiejun Zhao, Mo Yu, Conghui Zhu |
| 2012 | ICNC | Softmax-margin training for statistical machine translation. | Wenwen Zhang, Lemao Liu, Hailong Cao, Tiejun Zhao |