A Unified and Discriminative Soft Syntactic Constraint Model for Hierarchical Phrase-based Translation. - Lemao Liu; Tiejun Zhao; Chao Wang; Hailong Cao (MTSummit, 2011)

A head-annotated synchronous context-free grammar for hierarchical phrase-based translation. - Lemao Liu; Tiejun Zhao; Chong Xu (NLPKE, 2011)

Expected Error Minimization with Ultraconservative Update for SMT. - Lemao Liu; Tiejun Zhao; Taro Watanabe; Hailong Cao; Conghui Zhu (COLING (Posters), 2012)

Locally Training the Log-Linear Model for SMT. - Lemao Liu; Hailong Cao; Taro Watanabe; Tiejun Zhao; Mo Yu; Conghui Zhu (EMNLP-CoNLL, 2012)

Softmax-margin training for statistical machine translation. - Wenwen Zhang; Lemao Liu; Hailong Cao; Tiejun Zhao (ICNC, 2012)

Additive Neural Networks for Statistical Machine Translation. - Lemao Liu; Taro Watanabe; Eiichiro Sumita; Tiejun Zhao (ACL (1), 2013)

Tuning SMT with a Large Number of Features via Online Feature Grouping. - Lemao Liu; Tiejun Zhao; Taro Watanabe; Eiichiro Sumita (IJCNLP, 2013)

Scalable Large-Margin Structured Learning: Theory and Algorithms. - Liang Huang 001; Kai Zhao 003; Lemao Liu (ACL (Tutorial Abstracts), 2014)

Search-Aware Tuning for Machine Translation. - Lemao Liu; Liang Huang 001 (EMNLP, 2014)

Discriminative Training for Log-Linear Based SMT: Global or Local Methods. - Lemao Liu; Tiejun Zhao; Taro Watanabe; Hailong Cao; Conghui Zhu (ACM Trans. Asian Lang. Inf. Process., 2014)

Neural Network Transduction Models in Transliteration Generation. - Andrew M. Finch; Lemao Liu; Xiaolin Wang 002; Eiichiro Sumita (NEWS@ACL, 2015)

Agreement on Target-Bidirectional LSTMs for Sequence-to-Sequence Learning. - Lemao Liu; Andrew M. Finch; Masao Utiyama; Eiichiro Sumita (AAAI, 2016)

Target-Bidirectional Neural Models for Machine Transliteration. - Andrew M. Finch; Lemao Liu; Xiaolin Wang 002; Eiichiro Sumita (NEWS@ACM, 2016)

Neural Machine Translation with Supervised Attention. - Lemao Liu; Masao Utiyama; Andrew M. Finch; Eiichiro Sumita (COLING, 2016)

Local fisher discriminant analysis for spoken language identification. - Peng Shen; Xugang Lu; Lemao Liu; Hisashi Kawai (ICASSP, 2016)

Agreement on Target-bidirectional Neural Machine Translation. - Lemao Liu; Masao Utiyama; Andrew M. Finch; Eiichiro Sumita (HLT-NAACL, 2016)

Translation Prediction with Source Dependency-Based Context Representation. - Kehai Chen; Tiejun Zhao; Muyun Yang; Lemao Liu (AAAI, 2017)

Deterministic Attention for Sequence-to-Sequence Constituent Parsing. - Chunpeng Ma; Lemao Liu; Akihiro Tamura; Tiejun Zhao; Eiichiro Sumita (AAAI, 2017)

Neural Machine Translation with Source Dependency Representation. - Kehai Chen; Rui Wang 015; Masao Utiyama; Lemao Liu; Akihiro Tamura; Eiichiro Sumita; Tiejun Zhao (EMNLP, 2017)

Instance Weighting for Neural Machine Translation Domain Adaptation. - Rui Wang 015; Masao Utiyama; Lemao Liu; Kehai Chen; Eiichiro Sumita (EMNLP, 2017)

Improving Feature-Rich Transition-Based Constituent Parsing Using Recurrent Neural Networks. - Chunpeng Ma; Akihiro Tamura; Lemao Liu; Tiejun Zhao; Eiichiro Sumita (IEICE Trans. Inf. Syst., 2017)

Translation Quality Estimation Using Only Bilingual Corpora. - Lemao Liu; Atsushi Fujita; Masao Utiyama; Andrew M. Finch; Eiichiro Sumita (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Improving Sequence-to-Sequence Constituency Parsing. - Lemao Liu; Muhua Zhu; Shuming Shi 001 (AAAI, 2018)

Automatic Article Commenting: the Task and Dataset. - Lianhui Qin; Lemao Liu; Victoria Bi; Yan Wang 060; Xiaojiang Liu; Zhiting Hu; Hai Zhao; Shuming Shi 001 (ACL (2), 2018)

Target Foresight Based Attention for Neural Machine Translation. - Xintong Li; Lemao Liu; Zhaopeng Tu; Shuming Shi 001; Max Meng (NAACL-HLT, 2018)

A Neural Approach to Source Dependence Based Context Model for Statistical Machine Translation. - Kehai Chen; Tiejun Zhao; Muyun Yang; Lemao Liu; Akihiro Tamura; Rui Wang 015; Masao Utiyama; Eiichiro Sumita (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Sentence Selection and Weighting for Neural Machine Translation Domain Adaptation. - Rui Wang 015; Masao Utiyama; Andrew M. Finch; Lemao Liu; Kehai Chen; Eiichiro Sumita (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Graph Based Translation Memory for Neural Machine Translation. - Mengzhou Xia; Guoping Huang; Lemao Liu; Shuming Shi 001 (AAAI, 2019)

On the Word Alignment from Neural Machine Translation. - Xintong Li; Guanlin Li; Lemao Liu; Max Meng; Shuming Shi 001 (ACL (1), 2019)

Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization. - Guanlin Li; Lemao Liu; Guoping Huang; Conghui Zhu; Tiejun Zhao (EMNLP/IJCNLP (1), 2019)

Multiple-source Entity Linking with Incomplete Sources. - Qinguo Liu; Shui Liu; Lemao Liu; Bo Xiao (IALP, 2019)

Understanding and Improving Hidden Representations for Neural Machine Translation. - Guanlin Li; Lemao Liu; Xintong Li; Conghui Zhu; Tiejun Zhao; Shuming Shi 001 (NAACL-HLT (1), 2019)

Word Position Aware Translation Memory for Neural Machine Translation. - Qiuxiang He; Guoping Huang; Lemao Liu; Li Li 006 (NLPCC (1), 2019)

Neural Machine Translation with Noisy Lexical Constraints. - Huayang Li; Guoping Huang; Lemao Liu (CoRR, 2019)

Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation. - Tianxiang Zhao 001; Lemao Liu; Guoping Huang; Huayang Li; Yingling Liu; Guiquan Liu; Shuming Shi 001 (AAAI, 2020)

Evaluating Explanation Methods for Neural Machine Translation. - Jierui Li; Lemao Liu; Huayang Li; Guanlin Li; Guoping Huang; Shuming Shi 001 (ACL, 2020)

Regularized Context Gates on Transformer for Machine Translation. - Xintong Li; Lemao Liu; Rui Wang 015; Guoping Huang; Max Meng (ACL, 2020)

On the Branching Bias of Syntax Extracted from Pre-trained Language Models. - Huayang Li; Lemao Liu; Guoping Huang; Shuming Shi 001 (EMNLP (Findings), 2020)

Touch Editing: A Flexible One-Time Interaction Approach for Translation. - Qian Wang; Jiajun Zhang 001; Lemao Liu; Guoping Huang; Chengqing Zong (AACL/IJCNLP, 2020)

Detecting and Understanding Generalization Barriers for Neural Machine Translation. - Guanlin Li; Lemao Liu; Conghui Zhu; Tiejun Zhao; Shuming Shi 001 (CoRR, 2020)

Understanding Learning Dynamics for Neural Machine Translation. - Conghui Zhu; Guanlin Li; Lemao Liu; Tiejun Zhao; Shuming Shi 001 (CoRR, 2020)

TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis. - Haisong Zhang; Lemao Liu; Haiyun Jiang; Yangming Li; Enbo Zhao; Kun Xu 005; Linfeng Song; Suncong Zheng; Botong Zhou; Jianchen Zhu; Xiao Feng; Tao Chen; et al. (CoRR, 2020)

Agreement on Target-Bidirectional Recurrent Neural Networks for Sequence-to-Sequence Learning. - Lemao Liu; Andrew M. Finch; Masao Utiyama; Eiichiro Sumita (J. Artif. Intell. Res., 2020)

Neural Machine Translation With Noisy Lexical Constraints. - Huayang Li; Guoping Huang; Deng Cai 002; Lemao Liu (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Neural Machine Translation with Monolingual Translation Memory. - Deng Cai 002; Yan Wang 060; Huayang Li; Wai Lam; Lemao Liu (ACL/IJCNLP (1), 2021)

Enhancing the Open-Domain Dialogue Evaluation in Latent Space. - Zhangming Chan; Lemao Liu; Juntao Li; Haisong Zhang; Dongyan Zhao 001; Shuming Shi 001; Rui Yan 001 (ACL/IJCNLP (Findings), 2021)

Fast and Accurate Neural Machine Translation with Translation Memory. - Qiuxiang He; Guoping Huang; Qu Cui; Li Li 006; Lemao Liu (ACL/IJCNLP (1), 2021)

GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation. - Huayang Li; Lemao Liu; Guoping Huang; Shuming Shi 001 (ACL/IJCNLP (1), 2021)

TexSmart: A System for Enhanced Natural Language Understanding. - Lemao Liu; Haisong Zhang; Haiyun Jiang; Yangming Li; Enbo Zhao; Kun Xu 005; Linfeng Song; Suncong Zheng; Botong Zhou; Dick Zhu; Xiao Feng; Tao Chen; et al. (ACL (demo), 2021)

Engage the Public: Poll Question Generation for Social Media Posts. - Zexin Lu; Keyang Ding; Yuji Zhang 002; Jing Li 049; Baolin Peng; Lemao Liu (ACL/IJCNLP (1), 2021)

Assessing Dialogue Systems with Distribution Distances. - Jiannan Xiang; Yahui Liu; Deng Cai 002; Huayang Li; Defu Lian; Lemao Liu (ACL/IJCNLP (Findings), 2021)

An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing. - Yi Chen 019; Haiyun Jiang; Lemao Liu; Shuming Shi 001; Chuang Fan; Min Yang 007; Ruifeng Xu 001 (EMNLP (1), 2021)

A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base. - Yu Feng; Jing Zhang 001; Gaole He; Wayne Xin Zhao; Lemao Liu; Quan Liu; Cuiping Li 001; Hong Chen 001 (EMNLP (Findings), 2021)

Segmenting Natural Language Sentences via Lexical Unit Analysis. - Yangming Li; Lemao Liu; Shuming Shi 001 (EMNLP (Findings), 2021)

Fine-grained Entity Typing without Knowledge Base. - Jing Qian; Yibin Liu; Lemao Liu; Yangming Li; Haiyun Jiang; Haisong Zhang; Shuming Shi 001 (EMNLP (1), 2021)

Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition. - Yangming Li; Lemao Liu; Shuming Shi 001 (ICLR, 2021)

Neural Sequence Segmentation as Determining the Leftmost Segments. - Yangming Li; Lemao Liu; Kaisheng Yao (NAACL-HLT, 2021)

TranSmart: A Practical Interactive Machine Translation System. - Guoping Huang; Lemao Liu; Xing Wang 007; Longyue Wang; Huayang Li; Zhaopeng Tu; Chengyan Huang; Shuming Shi 001 (CoRR, 2021)

Rethinking Negative Sampling for Unlabeled Entity Problem in Named Entity Recognition. - Yangming Li; Lemao Liu; Shuming Shi 001 (CoRR, 2021)

Injecting Numerical Reasoning Skills into Knowledge Base Question Answering Models. - Yu Feng; Jing Zhang 001; Xiaokang Zhang; Lemao Liu; Cuiping Li 001; Hong Chen 001 (CoRR, 2021)

Attending From Foresight: A Novel Attention Mechanism for Neural Machine Translation. - Xintong Li; Lemao Liu; Zhaopeng Tu; Guanlin Li; Shuming Shi 001; Max Q.-H. Meng (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Detecting Source Contextual Barriers for Understanding Neural Machine Translation. - Guanlin Li; Lemao Liu; Conghui Zhu; Rui Wang 015; Tiejun Zhao; Shuming Shi 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing. - Yi Chen 019; Jiayang Cheng; Haiyun Jiang; Lemao Liu; Haisong Zhang; Shuming Shi 001; Ruifeng Xu 001 (ACL (1), 2022)

Rethinking Negative Sampling for Handling Missing Entity Annotations. - Yangming Li; Lemao Liu; Shuming Shi 001 (ACL (1), 2022)

Visualizing the Relationship Between Encoded Linguistic Information and Task Performance. - Jiannan Xiang; Huayang Li; Defu Lian; Guoping Huang; Taro Watanabe; Lemao Liu (ACL (Findings), 2022)

Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics. - Jiannan Xiang; Huayang Li; Yahui Liu; Lemao Liu; Guoping Huang; Defu Lian; Shuming Shi 001 (ACL (Findings), 2022)

BiTIIMT: A Bilingual Text-infilling Method for Interactive Machine Translation. - Yanling Xiao; Lemao Liu; Guoping Huang; Qu Cui; Shujian Huang; Shuming Shi 001; Jiajun Chen 001 (ACL (1), 2022)

MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation. - Yi Chen 019; Haiyun Jiang; Lemao Liu; Rui Wang 092; Shuming Shi 001; Ruifeng Xu 001 (EMNLP (Findings), 2022)

Neural Machine Translation with Contrastive Translation Memories. - Xin Cheng 002; Shen Gao; Lemao Liu; Dongyan Zhao 001; Rui Yan 001 (EMNLP, 2022)

On the Evaluation Metrics for Paraphrase Generation. - Lingfeng Shen; Lemao Liu; Haiyun Jiang; Shuming Shi 001 (EMNLP, 2022)

Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure. - Xueliang Zhao; Lemao Liu; Tingchen Fu; Shuming Shi 001; Dongyan Zhao 001; Rui Yan 001 (EMNLP, 2022)

On Synthetic Data for Back Translation. - Jiahao Xu 001; Yubin Ruan; Wei Bi; Guoping Huang; Shuming Shi 001; Lihui Chen 001; Lemao Liu (NAACL-HLT, 2022)

Recent Advances in Retrieval-Augmented Text Generation. - Deng Cai 002; Yan Wang 060; Lemao Liu; Shuming Shi 001 (SIGIR, 2022)

Findings of the Word-Level AutoCompletion Shared Task in WMT 2022. - Francisco Casacuberta; George Foster; Guoping Huang; Philipp Koehn; Geza Kovacs; Lemao Liu; Shuming Shi 001; Taro Watanabe; Chengqing Zong (WMT, 2022)

Rethink Stealthy Backdoor Attacks in Natural Language Processing. - Lingfeng Shen; Haiyun Jiang; Lemao Liu; Shuming Shi 001 (CoRR, 2022)

A Survey on Retrieval-Augmented Text Generation. - Huayang Li; Yixuan Su; Deng Cai 002; Yan Wang 060; Lemao Liu (CoRR, 2022)

Revisiting the Evaluation Metrics of Paraphrase Generation. - Lingfeng Shen; Haiyun Jiang; Lemao Liu; Shuming Shi 001 (CoRR, 2022)

Efficient Sub-structured Knowledge Distillation. - Wenye Lin; Yangming Li; Lemao Liu; Shuming Shi 001; Hai-Tao Zheng 002 (CoRR, 2022)

On the Compositional Generalization in Versatile Open-domain Dialogue. - Tingchen Fu; Xueliang Zhao; Lemao Liu; Rui Yan 001 (ACL (1), 2023)

Rethinking Translation Memory Augmented Neural Machine Translation. - Hongkun Hao; Guoping Huang; Lemao Liu; Zhirui Zhang; Shuming Shi 001; Rui Wang 015 (ACL (Findings), 2023)

Unsupervised Keyphrase Extraction by Learning Neural Keyphrase Set Function. - Mingyang Song; Haiyun Jiang; Lemao Liu; Shuming Shi 001; Liping Jing (ACL (Findings), 2023)

Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation. - Guoxin Yu; Lemao Liu; Haiyun Jiang; Shuming Shi 001; Xiang Ao 001 (ACL (Findings), 2023)

E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition. - Zhen Zhang 048; Mengting Hu; Shiwan Zhao; Minlie Huang; Haotian Wang; Lemao Liu; Zhirui Zhang; Zhe Liu 001; Bingzhe Wu (ACL (Findings), 2023)

SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation. - Xueliang Zhao; Tingchen Fu; Lemao Liu; Lingpeng Kong; Shuming Shi 001; Rui Yan 001 (ACL (Findings), 2023)

Rethinking Word-Level Auto-Completion in Computer-Aided Translation. - Xingyu Chen; Lemao Liu; Guoping Huang; Zhirui Zhang; Mingming Yang; Shuming Shi 001; Rui Wang 015 (EMNLP, 2023)

Logic Unveils Truth, While Disguise Obscures It: Transition Logic Augmented Response Selection for Multi-Turn Dialogue. - Tingchen Fu; Xueliang Zhao; Lemao Liu; Rui Yan 001 (EMNLP (Findings), 2023)

Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer. - Ruize Gao; Zhirui Zhang; Yichao Du; Lemao Liu; Rui Wang (EMNLP, 2023)

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 001; Jiajun Chen 001; Shujian Huang (EMNLP, 2023)

Towards General Error Diagnosis via Behavioral Testing in Machine Translation. - Junjie Wu 007; Lemao Liu; Dit-Yan Yeung (EMNLP (Findings), 2023)

DistillCSE: Distilled Contrastive Learning for Sentence Embeddings. - Jiahao Xu 001; Wei Shao 009; Lihui Chen 001; Lemao Liu (EMNLP (Findings), 2023)

SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives. - Jiahao Xu 001; Wei Shao 009; Lihui Chen 001; Lemao Liu (EMNLP, 2023)

Retrieval-Augmented Few-shot Text Classification. - Guoxin Yu; Lemao Liu; Haiyun Jiang; Shuming Shi 001; Xiang Ao 001 (EMNLP (Findings), 2023)

A Simple Yet Effective Approach to Structured Knowledge Distillation. - Wenye Lin; Yangming Li; Lemao Liu; Shuming Shi 001; Hai-Tao Zheng 002 (ICASSP, 2023)

Federated Nearest Neighbor Machine Translation. - Yichao Du; Zhirui Zhang; Bingzhe Wu; Lemao Liu; Tong Xu 001; Enhong Chen (ICLR, 2023)

Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory. - Xin Cheng 002; Di Luo; Xiuying Chen; Lemao Liu; Dongyan Zhao 001; Rui Yan 001 (NeurIPS, 2023)

Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective. - Huayang Li; Tian Lan 003; Zihao Fu; Deng Cai 002; Lemao Liu; Nigel Collier; Taro Watanabe; Yixuan Su (NeurIPS, 2023)

Fairness-guided Few-shot Prompting for Large Language Models. - Huan Ma; Changqing Zhang; Yatao Bian; Lemao Liu; Zhirui Zhang; Peilin Zhao; Shu Zhang 013; Huazhu Fu; Qinghua Hu; Bingzhe Wu (NeurIPS, 2023)

Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model. - Lingfeng Shen; Haiyun Jiang; Lemao Liu; Shuming Shi 001 (RepL4NLP@ACL, 2023)

Findings of the Word-Level AutoCompletion Shared Task in WMT 2023. - Lemao Liu; Francisco Casacuberta; George Foster; Guoping Huang; Philipp Koehn; Geza Kovacs; Shuming Shi 001; Taro Watanabe; Chengqing Zong (WMT, 2023)

A Simple and Plug-and-play Method for Unsupervised Sentence Representation Enhancement. - Lingfeng Shen; Haiyun Jiang; Lemao Liu; Shuming Shi 001 (CoRR, 2023)

Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance. - Lingfeng Shen; Haiyun Jiang; Lemao Liu; Ying Chen (CoRR, 2023)

Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer. - Ruize Gao; Zhirui Zhang; Yichao Du; Lemao Liu; Rui Wang 015 (CoRR, 2023)

ImSimCSE: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives. - Jiahao Xu 001; Wei Shao 009; Lihui Chen 001; Lemao Liu (CoRR, 2023)

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models. - Yue Zhang 004; Yafu Li; Leyang Cui; Deng Cai 002; Lemao Liu; Tingchen Fu; Xinting Huang; Enbo Zhao; Yu Zhang 092; Yulong Chen 001; Longyue Wang; Anh Tuan Luu; et al. (CoRR, 2023)

Context Consistency between Training and Testing in Simultaneous Machine Translation. - Meizhi Zhong; Lemao Liu; Kehai Chen; Mingming Yang; Min Zhang 005 (CoRR, 2023)

When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning. - Qihang Ai; Jianwu Zhou; Haiyun Jiang; Lemao Liu; Shuming Shi 001 (CoRR, 2023)

Discourse-Aware Graph Networks for Textual Logical Reasoning. - Yinya Huang; Lemao Liu; Kun Xu 005; Meng Fang; Liang Lin; Xiaodan Liang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

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 001 (ACL (1), 2024)

Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction. - Tingchen Fu; Deng Cai 002; Lemao Liu; Shuming Shi 001; Rui Yan 001 (ACL (Findings), 2024)

TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild. - Huayang Li; Siheng Li; Deng Cai 002; Longyue Wang; Lemao Liu; Taro Watanabe; Yujiu Yang; Shuming Shi 001 (ACL (Findings), 2024)

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 (ACL (Findings), 2024)

On the Hallucination in Simultaneous Machine Translation. - Meizhi Zhong; Kehai Chen; Zhengshan Xue; Lemao Liu; Mingming Yang; Min Zhang 005 (ACL (Short Papers), 2024)

Context Consistency between Training and Inference in Simultaneous Machine Translation. - Meizhi Zhong; Lemao Liu; Kehai Chen; Mingming Yang; Min Zhang 005 (ACL (1), 2024)

Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability. - Tsz Ting Chung; Leyang Cui; Lemao Liu; Xinting Huang; Shuming Shi 001; Dit-Yan Yeung (EMNLP (Findings), 2024)

Cross-lingual Contextualized Phrase Retrieval. - Huayang Li; Deng Cai 002; Zhi Qu 001; Qu Cui; Hidetaka Kamigaito; Lemao Liu; Taro Watanabe (EMNLP (Findings), 2024)

Rethinking the Evaluation of In-Context Learning for LLMs. - Guoxin Yu; Lemao Liu; Mo Yu; Yue Yu; Xiang Ao 001 (EMNLP, 2024)

Rethinking Targeted Adversarial Attacks for Neural Machine Translation. - Junjie Wu 007; Lemao Liu; Wei Bi; Dit-Yan Yeung (ICASSP, 2024)

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 (ICASSP, 2024)

The Reasonableness Behind Unreasonable Translation Capability of Large Language Model. - Tingchen Fu; Lemao Liu; Deng Cai 002; Guoping Huang; Shuming Shi 001; Rui Yan 001 (ICLR, 2024)

On the Transformations across Reward Model, Parameter Update, and In-Context Prompt. - Deng Cai 002; Huayang Li; Tingchen Fu; Siheng Li; Weiwen Xu; Shuaiyi Li; Bowen Cao; Zhisong Zhang; Xinting Huang; Leyang Cui; Yan Wang 060; Lemao Liu; et al. (CoRR, 2024)

Large Language Models Can Self-Improve in Long-context Reasoning. - Siheng Li; Cheng Yang 002; Zesen Cheng; Lemao Liu; Mo Yu; Yujiu Yang; Wai Lam (CoRR, 2024)

An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation. - Cheng Yang 007; Guoping Huang; Mo Yu; Zhirui Zhang; Siheng Li; Mingming Yang; Shuming Shi 001; Yujiu Yang; Lemao Liu (Trans. Assoc. Comput. Linguistics, 2024)

Datastore Distillation for Nearest Neighbor Machine Translation. - Yuhan Dai; Zhirui Zhang; Yichao Du; Shengcai Liu; Lemao Liu; Tong Xu 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Understanding LLMs' Fluid Intelligence Deficiency: An Analysis of the ARC Task. - Junjie Wu 007; Mo Yu; Lemao Liu; Dit-Yan Yeung; Jie Zhou 016 (NAACL (Long Papers), 2025)

The Stochastic Parrot on LLM's Shoulder: A Summative Assessment of Physical Concept Understanding. - Mo Yu; Lemao Liu; Junjie Wu 007; Tsz Ting Chung; Shunchi Zhang; Jiangnan Li; Dit-Yan Yeung; Jie Zhou 016 (NAACL (Long Papers), 2025)

TF-Attack: Transferable and fast adversarial attacks on large language models. - Zelin Li; Kehai Chen; Lemao Liu; Xuefeng Bai 001; Mingming Yang; Yang Xiang 003; Min Zhang 005 (Knowl. Based Syst., 2025)

A Survey on the Honesty of Large Language Models. - Siheng Li; Cheng Yang 002; Taiqiang Wu; Chufan Shi; Yuji Zhang 002; Xinyu Zhu; Zesen Cheng; Deng Cai 002; Mo Yu; Lemao Liu; Jie Zhou 016; Yujiu Yang; et al. (Trans. Mach. Learn. Res., 2025)

DBudgetKV: Dynamic Budget in KV Cache Compression for Ensuring Optimal Performance. - Xuanfan Ni; Liyan Xu; Chenyang Lyu; Longyue Wang; Mo Yu; Lemao Liu; Fandong Meng; Jie Zhou 016; Piji Li (CoRR, 2025)

SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension. - Junjie Wu 007; Jiangnan Li; Yuqing Li; Lemao Liu; Liyan Xu; Jiwei Li; Dit-Yan Yeung; Jie Zhou 016; Mo Yu (CoRR, 2025)