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2020 – today
- 2024
- [j12]Cheng Yang, Guoping Huang, Mo Yu, Zhirui Zhang, Siheng Li, Mingming Yang, Shuming Shi, Yujiu Yang, Lemao Liu:
An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation. Trans. Assoc. Comput. Linguistics 12: 137-156 (2024) - [j11]Yuhan Dai, Zhirui Zhang, Yichao Du, Shengcai Liu, Lemao Liu, Tong Xu:
Datastore Distillation for Nearest Neighbor Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 807-817 (2024) - [c91]Meizhi Zhong, Kehai Chen, Zhengshan Xue, Lemao Liu, Mingming Yang, Min Zhang:
On the Hallucination in Simultaneous Machine Translation. ACL (Short Papers) 2024: 730-742 - [c90]Tingchen Fu, Deng Cai, Lemao Liu, Shuming Shi, Rui Yan:
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction. ACL (Findings) 2024: 2967-2985 - [c89]Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong:
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. ACL (Findings) 2024: 7255-7279 - [c88]Qihang Ai, Jiafan Li, Jincheng Dai, Jianwu Zhou, Lemao Liu, Haiyun Jiang, Shuming Shi:
Advancement in Graph Understanding: A Multimodal Benchmark and Fine-Tuning of Vision-Language Models. ACL (1) 2024: 7485-7501 - [c87]Huayang Li, Siheng Li, Deng Cai, Longyue Wang, Lemao Liu, Taro Watanabe, Yujiu Yang, Shuming Shi:
TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild. ACL (Findings) 2024: 9053-9076 - [c86]Meizhi Zhong, Lemao Liu, Kehai Chen, Mingming Yang, Min Zhang:
Context Consistency between Training and Inference in Simultaneous Machine Translation. ACL (1) 2024: 13465-13476 - [c85]Huayang Li, Deng Cai, Zhi Qu, Qu Cui, Hidetaka Kamigaito, Lemao Liu, Taro Watanabe:
Cross-lingual Contextualized Phrase Retrieval. EMNLP (Findings) 2024: 6562-6576 - [c84]Tsz Ting Chung, Leyang Cui, Lemao Liu, Xinting Huang, Shuming Shi, Dit-Yan Yeung:
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability. EMNLP (Findings) 2024: 11057-11070 - [c83]Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao:
Rethinking the Evaluation of In-Context Learning for LLMs. EMNLP 2024: 14068-14082 - [c82]Yifan Wang, Qingyan Guo, Xinzhe Ni, Chufan Shi, Lemao Liu, Haiyun Jiang, Yujiu Yang:
Hint-Enhanced In-Context Learning Wakes Large Language Models Up For Knowledge-Intensive Tasks. ICASSP 2024: 10276-10280 - [c81]Junjie Wu, Lemao Liu, Wei Bi, Dit-Yan Yeung:
Rethinking Targeted Adversarial Attacks for Neural Machine Translation. ICASSP 2024: 12191-12195 - [c80]Tingchen Fu, Lemao Liu, Deng Cai, Guoping Huang, Shuming Shi, Rui Yan:
The Reasonableness Behind Unreasonable Translation Capability of Large Language Model. ICLR 2024 - [i58]Xueliang Zhao, Xinting Huang, Tingchen Fu, Qintong Li, Shansan Gong, Lemao Liu, Wei Bi, Lingpeng Kong:
BBA: Bi-Modal Behavioral Alignment for Reasoning with Large Vision-Language Models. CoRR abs/2402.13577 (2024) - [i57]Huayang Li, Deng Cai, Zhi Qu, Qu Cui, Hidetaka Kamigaito, Lemao Liu, Taro Watanabe:
Cross-lingual Contextualized Phrase Retrieval. CoRR abs/2403.16820 (2024) - [i56]Tingchen Fu, Deng Cai, Lemao Liu, Shuming Shi, Rui Yan:
Disperse-Then-Merge: Pushing the Limits of Instruction Tuning via Alignment Tax Reduction. CoRR abs/2405.13432 (2024) - [i55]Meizhi Zhong, Kehai Chen, Zhengshan Xue, Lemao Liu, Mingming Yang, Min Zhang:
On the Hallucination in Simultaneous Machine Translation. CoRR abs/2406.07239 (2024) - [i54]Deng Cai, Huayang Li, Tingchen Fu, Siheng Li, Weiwen Xu, Shuaiyi Li, Bowen Cao, Zhisong Zhang, Xinting Huang, Leyang Cui, Yan Wang, Lemao Liu, Taro Watanabe, Shuming Shi:
On the Transformations across Reward Model, Parameter Update, and In-Context Prompt. CoRR abs/2406.16377 (2024) - [i53]Junjie Wu, Lemao Liu, Wei Bi, Dit-Yan Yeung:
Rethinking Targeted Adversarial Attacks For Neural Machine Translation. CoRR abs/2407.05319 (2024) - [i52]Cheng Yang, Guoping Huang, Mo Yu, Zhirui Zhang, Siheng Li, Mingming Yang, Shuming Shi, Yujiu Yang, Lemao Liu:
An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation. CoRR abs/2407.20083 (2024) - [i51]Zelin Li, Kehai Chen, Xuefeng Bai, Lemao Liu, Mingming Yang, Yang Xiang, Min Zhang:
TF-Attack: Transferable and Fast Adversarial Attacks on Large Language Models. CoRR abs/2408.13985 (2024) - [i50]Siheng Li, Cheng Yang, Taiqiang Wu, Chufan Shi, Yuji Zhang, Xinyu Zhu, Zesen Cheng, Deng Cai, Mo Yu, Lemao Liu, Jie Zhou, Yujiu Yang, Ngai Wong, Xixin Wu, Wai Lam:
A Survey on the Honesty of Large Language Models. CoRR abs/2409.18786 (2024) - [i49]Tsz Ting Chung, Leyang Cui, Lemao Liu, Xinting Huang, Shuming Shi, Dit-Yan Yeung:
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability. CoRR abs/2410.11786 (2024) - 2023
- [j10]Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang:
Discourse-Aware Graph Networks for Textual Logical Reasoning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11668-11688 (2023) - [c79]Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, Bingzhe Wu:
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition. ACL (Findings) 2023: 1619-1634 - [c78]Mingyang Song, Haiyun Jiang, Lemao Liu, Shuming Shi, Liping Jing:
Unsupervised Keyphrase Extraction by Learning Neural Keyphrase Set Function. ACL (Findings) 2023: 2482-2494 - [c77]Hongkun Hao, Guoping Huang, Lemao Liu, Zhirui Zhang, Shuming Shi, Rui Wang:
Rethinking Translation Memory Augmented Neural Machine Translation. ACL (Findings) 2023: 2589-2605 - [c76]Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi, Xiang Ao:
Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation. ACL (Findings) 2023: 4914-4927 - [c75]Xueliang Zhao, Tingchen Fu, Lemao Liu, Lingpeng Kong, Shuming Shi, Rui Yan:
SORTIE: Dependency-Aware Symbolic Reasoning for Logical Data-to-text Generation. ACL (Findings) 2023: 11247-11266 - [c74]Tingchen Fu, Xueliang Zhao, Lemao Liu, Rui Yan:
On the Compositional Generalization in Versatile Open-domain Dialogue. ACL (1) 2023: 13585-13605 - [c73]Junjie Wu, Lemao Liu, Dit-Yan Yeung:
Towards General Error Diagnosis via Behavioral Testing in Machine Translation. EMNLP (Findings) 2023: 6706-6720 - [c72]Guoxin Yu, Lemao Liu, Haiyun Jiang, Shuming Shi, Xiang Ao:
Retrieval-Augmented Few-shot Text Classification. EMNLP (Findings) 2023: 6721-6735 - [c71]Tingchen Fu, Xueliang Zhao, Lemao Liu, Rui Yan:
Logic Unveils Truth, While Disguise Obscures It: Transition Logic Augmented Response Selection for Multi-Turn Dialogue. EMNLP (Findings) 2023: 7650-7661 - [c70]Jiahao Xu, Wei Shao, Lihui Chen, Lemao Liu:
DistillCSE: Distilled Contrastive Learning for Sentence Embeddings. EMNLP (Findings) 2023: 8153-8165 - [c69]Jiahao Xu, Wei Shao, Lihui Chen, Lemao Liu:
SimCSE++: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives. EMNLP 2023: 12028-12040 - [c68]Xu Huang, Zhirui Zhang, Ruize Gao, Yichao Du, Lemao Liu, Guoping Huang, Shuming Shi, Jiajun Chen, Shujian Huang:
IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems. EMNLP 2023: 14903-14917 - [c67]Xingyu Chen, Lemao Liu, Guoping Huang, Zhirui Zhang, Mingming Yang, Shuming Shi, Rui Wang:
Rethinking Word-Level Auto-Completion in Computer-Aided Translation. EMNLP 2023: 15405-15415 - [c66]Ruize Gao, Zhirui Zhang, Yichao Du, Lemao Liu, Rui Wang:
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer. EMNLP 2023: 15592-15608 - [c65]Wenye Lin, Yangming Li, Lemao Liu, Shuming Shi, Hai-Tao Zheng:
A Simple Yet Effective Approach to Structured Knowledge Distillation. ICASSP 2023: 1-5 - [c64]Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen:
Federated Nearest Neighbor Machine Translation. ICLR 2023 - [c63]Xin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao, Rui Yan:
Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory. NeurIPS 2023 - [c62]Huayang Li, Tian Lan, Zihao Fu, Deng Cai, Lemao Liu, Nigel Collier, Taro Watanabe, Yixuan Su:
Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective. NeurIPS 2023 - [c61]Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu:
Fairness-guided Few-shot Prompting for Large Language Models. NeurIPS 2023 - [c60]Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi:
Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model. RepL4NLP@ACL 2023: 315-333 - [c59]Lemao Liu, Francisco Casacuberta, George Foster, Guoping Huang, Philipp Koehn, Geza Kovacs, Shuming Shi, Taro Watanabe, Chengqing Zong:
Findings of the Word-Level AutoCompletion Shared Task in WMT 2023. WMT 2023: 654-662 - [i48]Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen:
Federated Nearest Neighbor Machine Translation. CoRR abs/2302.12211 (2023) - [i47]Huan Ma, Changqing Zhang, Yatao Bian, Lemao Liu, Zhirui Zhang, Peilin Zhao, Shu Zhang, Huazhu Fu, Qinghua Hu, Bingzhe Wu:
Fairness-guided Few-shot Prompting for Large Language Models. CoRR abs/2303.13217 (2023) - [i46]Xin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao, Rui Yan:
Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory. CoRR abs/2305.02437 (2023) - [i45]Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi:
A Simple and Plug-and-play Method for Unsupervised Sentence Representation Enhancement. CoRR abs/2305.07824 (2023) - [i44]Lingfeng Shen, Haiyun Jiang, Lemao Liu, Ying Chen:
Frequency-aware Dimension Selection for Static Word Embedding by Mixed Product Distance. CoRR abs/2305.07826 (2023) - [i43]Ruize Gao, Zhirui Zhang, Yichao Du, Lemao Liu, Rui Wang:
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection Layer. CoRR abs/2305.13034 (2023) - [i42]Jiahao Xu, Wei Shao, Lihui Chen, Lemao Liu:
ImSimCSE: Improving Contrastive Learning for Sentence Embeddings from Two Perspectives. CoRR abs/2305.13192 (2023) - [i41]Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, Bingzhe Wu:
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition. CoRR abs/2305.17854 (2023) - [i40]Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi:
Sen2Pro: A Probabilistic Perspective to Sentence Embedding from Pre-trained Language Model. CoRR abs/2306.02247 (2023) - [i39]Hongkun Hao, Guoping Huang, Lemao Liu, Zhirui Zhang, Shuming Shi, Rui Wang:
Rethinking Translation Memory Augmented Neural Machine Translation. CoRR abs/2306.06948 (2023) - [i38]Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Anh Tuan Luu, Wei Bi, Freda Shi, Shuming Shi:
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models. CoRR abs/2309.01219 (2023) - [i37]Huayang Li, Siheng Li, Deng Cai, Longyue Wang, Lemao Liu, Taro Watanabe, Yujiu Yang, Shuming Shi:
TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wild. CoRR abs/2309.08637 (2023) - [i36]Huayang Li, Tian Lan, Zihao Fu, Deng Cai, Lemao Liu, Nigel Collier, Taro Watanabe, Yixuan Su:
Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective. CoRR abs/2310.10226 (2023) - [i35]Xu Huang, Zhirui Zhang, Ruize Gao, Yichao Du, Lemao Liu, Guoping Huang, Shuming Shi, Jiajun Chen, Shujian Huang:
IMTLab: An Open-Source Platform for Building, Evaluating, and Diagnosing Interactive Machine Translation Systems. CoRR abs/2310.11163 (2023) - [i34]Junjie Wu, Lemao Liu, Dit-Yan Yeung:
Towards General Error Diagnosis via Behavioral Testing in Machine Translation. CoRR abs/2310.13362 (2023) - [i33]Jiahao Xu, Wei Shao, Lihui Chen, Lemao Liu:
DistillCSE: Distilled Contrastive Learning for Sentence Embeddings. CoRR abs/2310.13499 (2023) - [i32]Jiahao Xu, Yubin Ruan, Wei Bi, Guoping Huang, Shuming Shi, Lihui Chen, Lemao Liu:
On Synthetic Data for Back Translation. CoRR abs/2310.13675 (2023) - [i31]Xingyu Chen, Lemao Liu, Guoping Huang, Zhirui Zhang, Mingming Yang, Shuming Shi, Rui Wang:
Rethinking Word-Level Auto-Completion in Computer-Aided Translation. CoRR abs/2310.14523 (2023) - [i30]Yifan Wang, Qingyan Guo, Xinzhe Ni, Chufan Shi, Lemao Liu, Haiyun Jiang, Yujiu Yang:
Hint-enhanced In-Context Learning wakes Large Language Models up for knowledge-intensive tasks. CoRR abs/2311.01949 (2023) - [i29]Meizhi Zhong, Lemao Liu, Kehai Chen, Mingming Yang, Min Zhang:
Context Consistency between Training and Testing in Simultaneous Machine Translation. CoRR abs/2311.07066 (2023) - [i28]Qihang Ai, Jianwu Zhou, Haiyun Jiang, Lemao Liu, Shuming Shi:
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning. CoRR abs/2312.10372 (2023) - 2022
- [c58]Jiannan Xiang, Huayang Li, Yahui Liu, Lemao Liu, Guoping Huang, Defu Lian, Shuming Shi:
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics. ACL (Findings) 2022: 150-157 - [c57]Jiannan Xiang, Huayang Li, Defu Lian, Guoping Huang, Taro Watanabe, Lemao Liu:
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance. ACL (Findings) 2022: 410-422 - [c56]Yanling Xiao, Lemao Liu, Guoping Huang, Qu Cui, Shujian Huang, Shuming Shi, Jiajun Chen:
BiTIIMT: A Bilingual Text-infilling Method for Interactive Machine Translation. ACL (1) 2022: 1958-1969 - [c55]Yi Chen, Jiayang Cheng, Haiyun Jiang, Lemao Liu, Haisong Zhang, Shuming Shi, Ruifeng Xu:
Learning from Sibling Mentions with Scalable Graph Inference in Fine-Grained Entity Typing. ACL (1) 2022: 2076-2087 - [c54]Yangming Li, Lemao Liu, Shuming Shi:
Rethinking Negative Sampling for Handling Missing Entity Annotations. ACL (1) 2022: 7188-7197 - [c53]Lingfeng Shen, Lemao Liu, Haiyun Jiang, Shuming Shi:
On the Evaluation Metrics for Paraphrase Generation. EMNLP 2022: 3178-3190 - [c52]Xin Cheng, Shen Gao, Lemao Liu, Dongyan Zhao, Rui Yan:
Neural Machine Translation with Contrastive Translation Memories. EMNLP 2022: 3591-3601 - [c51]Yi Chen, Haiyun Jiang, Lemao Liu, Rui Wang, Shuming Shi, Ruifeng Xu:
MCPG: A Flexible Multi-Level Controllable Framework for Unsupervised Paraphrase Generation. EMNLP (Findings) 2022: 5948-5958 - [c50]Xueliang Zhao, Lemao Liu, Tingchen Fu, Shuming Shi, Dongyan Zhao, Rui Yan:
Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure. EMNLP 2022: 10051-10063 - [c49]Jiahao Xu, Yubin Ruan, Wei Bi, Guoping Huang, Shuming Shi, Lihui Chen, Lemao Liu:
On Synthetic Data for Back Translation. NAACL-HLT 2022: 419-430 - [c48]Deng Cai, Yan Wang, Lemao Liu, Shuming Shi:
Recent Advances in Retrieval-Augmented Text Generation. SIGIR 2022: 3417-3419 - [c47]Francisco Casacuberta, George Foster, Guoping Huang, Philipp Koehn, Geza Kovacs, Lemao Liu, Shuming Shi, Taro Watanabe, Chengqing Zong:
Findings of the Word-Level AutoCompletion Shared Task in WMT 2022. WMT 2022: 812-820 - [i27]Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi:
Rethink Stealthy Backdoor Attacks in Natural Language Processing. CoRR abs/2201.02993 (2022) - [i26]Huayang Li, Yixuan Su, Deng Cai, Yan Wang, Lemao Liu:
A Survey on Retrieval-Augmented Text Generation. CoRR abs/2202.01110 (2022) - [i25]Lingfeng Shen, Haiyun Jiang, Lemao Liu, Shuming Shi:
Revisiting the Evaluation Metrics of Paraphrase Generation. CoRR abs/2202.08479 (2022) - [i24]Wenye Lin, Yangming Li, Lemao Liu, Shuming Shi, Hai-Tao Zheng:
Efficient Sub-structured Knowledge Distillation. CoRR abs/2203.04825 (2022) - [i23]Jiannan Xiang, Huayang Li, Yahui Liu, Lemao Liu, Guoping Huang, Defu Lian, Shuming Shi:
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics. CoRR abs/2203.15858 (2022) - [i22]Jiannan Xiang, Huayang Li, Defu Lian, Guoping Huang, Taro Watanabe, Lemao Liu:
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance. CoRR abs/2203.15860 (2022) - [i21]Yinya Huang, Lemao Liu, Kun Xu, Meng Fang, Liang Lin, Xiaodan Liang:
Discourse-Aware Graph Networks for Textual Logical Reasoning. CoRR abs/2207.01450 (2022) - [i20]Xueliang Zhao, Lemao Liu, Tingchen Fu, Shuming Shi, Dongyan Zhao, Rui Yan:
Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure. CoRR abs/2210.12461 (2022) - [i19]Xin Cheng, Shen Gao, Lemao Liu, Dongyan Zhao, Rui Yan:
Neural Machine Translation with Contrastive Translation Memories. CoRR abs/2212.03140 (2022) - 2021
- [j9]Xintong Li, Lemao Liu, Zhaopeng Tu, Guanlin Li, Shuming Shi, Max Q.-H. Meng:
Attending From Foresight: A Novel Attention Mechanism for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2606-2616 (2021) - [j8]Guanlin Li, Lemao Liu, Conghui Zhu, Rui Wang, Tiejun Zhao, Shuming Shi:
Detecting Source Contextual Barriers for Understanding Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3158-3169 (2021) - [c46]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:
TexSmart: A System for Enhanced Natural Language Understanding. ACL (demo) 2021: 1-10 - [c45]Zexin Lu, Keyang Ding, Yuji Zhang, Jing Li, Baolin Peng, Lemao Liu:
Engage the Public: Poll Question Generation for Social Media Posts. ACL/IJCNLP (1) 2021: 29-40 - [c44]Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, Lemao Liu:
Assessing Dialogue Systems with Distribution Distances. ACL/IJCNLP (Findings) 2021: 2192-2198 - [c43]Qiuxiang He, Guoping Huang, Qu Cui, Li Li, Lemao Liu:
Fast and Accurate Neural Machine Translation with Translation Memory. ACL/IJCNLP (1) 2021: 3170-3180 - [c42]Huayang Li, Lemao Liu, Guoping Huang, Shuming Shi:
GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation. ACL/IJCNLP (1) 2021: 4792-4802 - [c41]Zhangming Chan, Lemao Liu, Juntao Li, Haisong Zhang, Dongyan Zhao, Shuming Shi, Rui Yan:
Enhancing the Open-Domain Dialogue Evaluation in Latent Space. ACL/IJCNLP (Findings) 2021: 4889-4900 - [c40]Deng Cai, Yan Wang, Huayang Li, Wai Lam, Lemao Liu:
Neural Machine Translation with Monolingual Translation Memory. ACL/IJCNLP (1) 2021: 7307-7318 - [c39]Yangming Li, Lemao Liu, Shuming Shi:
Segmenting Natural Language Sentences via Lexical Unit Analysis. EMNLP (Findings) 2021: 181-187 - [c38]Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li, Hong Chen:
A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base. EMNLP (Findings) 2021: 1852-1861 - [c37]Yi Chen, Haiyun Jiang, Lemao Liu, Shuming Shi, Chuang Fan, Min Yang, Ruifeng Xu:
An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing. EMNLP (1) 2021: 2668-2678 - [c36]Jing Qian, Yibin Liu, Lemao Liu, Yangming Li, Haiyun Jiang, Haisong Zhang, Shuming Shi:
Fine-grained Entity Typing without Knowledge Base. EMNLP (1) 2021: 5309-5319 - [c35]Yangming Li, Lemao Liu, Shuming Shi:
Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition. ICLR 2021 - [c34]Yangming Li, Lemao Liu, Kaisheng Yao:
Neural Sequence Segmentation as Determining the Leftmost Segments. NAACL-HLT 2021: 1476-1486 - [i18]Yangming Li, Lemao Liu, Kaisheng Yao:
Neural Sequence Segmentation as Determining the Leftmost Segments. CoRR abs/2104.07217 (2021) - [i17]Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, Lemao Liu:
Assessing Dialogue Systems with Distribution Distances. CoRR abs/2105.02573 (2021) - [i16]Deng Cai, Yan Wang, Huayang Li, Wai Lam, Lemao Liu:
Neural Machine Translation with Monolingual Translation Memory. CoRR abs/2105.11269 (2021) - [i15]Guoping Huang, Lemao Liu, Xing Wang, Longyue Wang, Huayang Li, Zhaopeng Tu, Chengyan Huang, Shuming Shi:
TranSmart: A Practical Interactive Machine Translation System. CoRR abs/2105.13072 (2021) - [i14]Huayang Li, Lemao Liu, Guoping Huang, Shuming Shi:
GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation. CoRR abs/2105.14913 (2021) - [i13]Yangming Li, Lemao Liu, Shuming Shi:
Rethinking Negative Sampling for Unlabeled Entity Problem in Named Entity Recognition. CoRR abs/2108.11607 (2021) - [i12]Yu Feng, Jing Zhang, Xiaokang Zhang, Lemao Liu, Cuiping Li, Hong Chen:
Injecting Numerical Reasoning Skills into Knowledge Base Question Answering Models. CoRR abs/2112.06109 (2021) - 2020
- [j7]Lemao Liu, Andrew M. Finch, Masao Utiyama, Eiichiro Sumita:
Agreement on Target-Bidirectional Recurrent Neural Networks for Sequence-to-Sequence Learning. J. Artif. Intell. Res. 67: 581-606 (2020) - [j6]Huayang Li, Guoping Huang, Deng Cai, Lemao Liu:
Neural Machine Translation With Noisy Lexical Constraints. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1864-1874 (2020) - [c33]Tianxiang Zhao, Lemao Liu, Guoping Huang, Huayang Li, Yingling Liu, Guiquan Liu, Shuming Shi:
Balancing Quality and Human Involvement: An Effective Approach to Interactive Neural Machine Translation. AAAI 2020: 9660-9667 - [c32]Jierui Li, Lemao Liu, Huayang Li, Guanlin Li, Guoping Huang, Shuming Shi:
Evaluating Explanation Methods for Neural Machine Translation. ACL 2020: 365-375 - [c31]Xintong Li, Lemao Liu, Rui Wang, Guoping Huang, Max Meng:
Regularized Context Gates on Transformer for Machine Translation. ACL 2020: 8555-8562 - [c30]Huayang Li, Lemao Liu, Guoping Huang, Shuming Shi:
On the Branching Bias of Syntax Extracted from Pre-trained Language Models. EMNLP (Findings) 2020: 4473-4478 - [c29]Qian Wang, Jiajun Zhang, Lemao Liu, Guoping Huang, Chengqing Zong:
Touch Editing: A Flexible One-Time Interaction Approach for Translation. AACL/IJCNLP 2020: 1-11 - [i11]Guanlin Li, Lemao Liu, Conghui Zhu, Tiejun Zhao, Shuming Shi:
Detecting and Understanding Generalization Barriers for Neural Machine Translation. CoRR abs/2004.02181 (2020) - [i10]Conghui Zhu, Guanlin Li, Lemao Liu, Tiejun Zhao, Shuming Shi:
Understanding Learning Dynamics for Neural Machine Translation. CoRR abs/2004.02199 (2020) - [i9]Jierui Li, Lemao Liu, Huayang Li, Guanlin Li, Guoping Huang, Shuming Shi:
Evaluating Explanation Methods for Neural Machine Translation. CoRR abs/2005.01672 (2020) - [i8]Huayang Li, Lemao Liu, Guoping Huang, Shuming Shi:
On the Branching Bias of Syntax Extracted from Pre-trained Language Models. CoRR abs/2010.02448 (2020) - [i7]Yangming Li, Lemao Liu, Shuming Shi:
Segmenting Natural Language Sentences via Lexical Unit Analysis. CoRR abs/2012.05418 (2020) - [i6]Yangming Li, Lemao Liu, Shuming Shi:
Empirical Analysis of Unlabeled Entity Problem in Named Entity Recognition. CoRR abs/2012.05426 (2020) - [i5]Haisong Zhang, Lemao Liu, Haiyun Jiang, Yangming Li, Enbo Zhao, Kun Xu, Linfeng Song, Suncong Zheng, Botong Zhou, Jianchen Zhu, Xiao Feng, Tao Chen, Tao Yang, Dong Yu, Feng Zhang, Zhanhui Kang, Shuming Shi:
TexSmart: A Text Understanding System for Fine-Grained NER and Enhanced Semantic Analysis. CoRR abs/2012.15639 (2020)
2010 – 2019
- 2019
- [c28]Mengzhou Xia, Guoping Huang, Lemao Liu, Shuming Shi:
Graph Based Translation Memory for Neural Machine Translation. AAAI 2019: 7297-7304 - [c27]Xintong Li, Guanlin Li, Lemao Liu, Max Meng, Shuming Shi:
On the Word Alignment from Neural Machine Translation. ACL (1) 2019: 1293-1303 - [c26]Guanlin Li, Lemao Liu, Guoping Huang, Conghui Zhu, Tiejun Zhao:
Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization. EMNLP/IJCNLP (1) 2019: 5688-5694 - [c25]Qinguo Liu, Shui Liu, Lemao Liu, Bo Xiao:
Multiple-source Entity Linking with Incomplete Sources. IALP 2019: 445-449 - [c24]Guanlin Li, Lemao Liu, Xintong Li, Conghui Zhu, Tiejun Zhao, Shuming Shi:
Understanding and Improving Hidden Representations for Neural Machine Translation. NAACL-HLT (1) 2019: 466-477 - [c23]Qiuxiang He, Guoping Huang, Lemao Liu, Li Li:
Word Position Aware Translation Memory for Neural Machine Translation. NLPCC (1) 2019: 367-379 - [i4]Huayang Li, Guoping Huang, Lemao Liu:
Neural Machine Translation with Noisy Lexical Constraints. CoRR abs/1908.04664 (2019) - [i3]Xintong Li, Lemao Liu, Rui Wang, Guoping Huang, Max Meng:
Regularized Context Gates on Transformer for Machine Translation. CoRR abs/1908.11020 (2019) - 2018
- [j5]Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu, Akihiro Tamura, Rui Wang, Masao Utiyama, Eiichiro Sumita:
A Neural Approach to Source Dependence Based Context Model for Statistical Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 26(2): 266-280 (2018) - [j4]Rui Wang, Masao Utiyama, Andrew M. Finch, Lemao Liu, Kehai Chen, Eiichiro Sumita:
Sentence Selection and Weighting for Neural Machine Translation Domain Adaptation. IEEE ACM Trans. Audio Speech Lang. Process. 26(10): 1727-1741 (2018) - [c22]Lemao Liu, Muhua Zhu, Shuming Shi:
Improving Sequence-to-Sequence Constituency Parsing. AAAI 2018: 4873-4880 - [c21]Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi:
Automatic Article Commenting: the Task and Dataset. ACL (2) 2018: 151-156 - [c20]Xintong Li, Lemao Liu, Zhaopeng Tu, Shuming Shi, Max Meng:
Target Foresight Based Attention for Neural Machine Translation. NAACL-HLT 2018: 1380-1390 - [i2]Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi:
Automatic Article Commenting: the Task and Dataset. CoRR abs/1805.03668 (2018) - 2017
- [j3]Chunpeng Ma, Akihiro Tamura, Lemao Liu, Tiejun Zhao, Eiichiro Sumita:
Improving Feature-Rich Transition-Based Constituent Parsing Using Recurrent Neural Networks. IEICE Trans. Inf. Syst. 100-D(9): 2205-2214 (2017) - [j2]Lemao Liu, Atsushi Fujita, Masao Utiyama, Andrew M. Finch, Eiichiro Sumita:
Translation Quality Estimation Using Only Bilingual Corpora. IEEE ACM Trans. Audio Speech Lang. Process. 25(9): 1762-1772 (2017) - [c19]Kehai Chen, Tiejun Zhao, Muyun Yang, Lemao Liu:
Translation Prediction with Source Dependency-Based Context Representation. AAAI 2017: 3166-3172 - [c18]Chunpeng Ma, Lemao Liu, Akihiro Tamura, Tiejun Zhao, Eiichiro Sumita:
Deterministic Attention for Sequence-to-Sequence Constituent Parsing. AAAI 2017: 3237-3243 - [c17]Rui Wang, Masao Utiyama, Lemao Liu, Kehai Chen, Eiichiro Sumita:
Instance Weighting for Neural Machine Translation Domain Adaptation. EMNLP 2017: 1482-1488 - [c16]Kehai Chen, Rui Wang, Masao Utiyama, Lemao Liu, Akihiro Tamura, Eiichiro Sumita, Tiejun Zhao:
Neural Machine Translation with Source Dependency Representation. EMNLP 2017: 2846-2852 - 2016
- [c15]Lemao Liu, Andrew M. Finch, Masao Utiyama, Eiichiro Sumita:
Agreement on Target-Bidirectional LSTMs for Sequence-to-Sequence Learning. AAAI 2016: 2630-2637 - [c14]Andrew M. Finch, Lemao Liu, Xiaolin Wang, Eiichiro Sumita:
Target-Bidirectional Neural Models for Machine Transliteration. NEWS@ACM 2016: 78-82 - [c13]Lemao Liu, Masao Utiyama, Andrew M. Finch, Eiichiro Sumita:
Neural Machine Translation with Supervised Attention. COLING 2016: 3093-3102 - [c12]Peng Shen, Xugang Lu, Lemao Liu, Hisashi Kawai:
Local fisher discriminant analysis for spoken language identification. ICASSP 2016: 5825-5829 - [c11]Lemao Liu, Masao Utiyama, Andrew M. Finch, Eiichiro Sumita:
Agreement on Target-bidirectional Neural Machine Translation. HLT-NAACL 2016: 411-416 - [i1]Lemao Liu, Masao Utiyama, Andrew M. Finch, Eiichiro Sumita:
Neural Machine Translation with Supervised Attention. CoRR abs/1609.04186 (2016) - 2015
- [c10]Andrew M. Finch, Lemao Liu, Xiaolin Wang, Eiichiro Sumita:
Neural Network Transduction Models in Transliteration Generation. NEWS@ACL 2015: 61-66 - 2014
- [j1]Lemao Liu, Tiejun Zhao, Taro Watanabe, Hailong Cao, Conghui Zhu:
Discriminative Training for Log-Linear Based SMT: Global or Local Methods. ACM Trans. Asian Lang. Inf. Process. 13(4): 17:1-17:25 (2014) - [c9]Liang Huang, Kai Zhao, Lemao Liu:
Scalable Large-Margin Structured Learning: Theory and Algorithms. ACL (Tutorial Abstracts) 2014: 4-5 - [c8]Lemao Liu, Liang Huang:
Search-Aware Tuning for Machine Translation. EMNLP 2014: 1942-1952 - 2013
- [c7]Lemao Liu, Taro Watanabe, Eiichiro Sumita, Tiejun Zhao:
Additive Neural Networks for Statistical Machine Translation. ACL (1) 2013: 791-801 - [c6]Lemao Liu, Tiejun Zhao, Taro Watanabe, Eiichiro Sumita:
Tuning SMT with a Large Number of Features via Online Feature Grouping. IJCNLP 2013 - 2012
- [c5]Lemao Liu, Tiejun Zhao, Taro Watanabe, Hailong Cao, Conghui Zhu:
Expected Error Minimization with Ultraconservative Update for SMT. COLING (Posters) 2012: 723-732 - [c4]Lemao Liu, Hailong Cao, Taro Watanabe, Tiejun Zhao, Mo Yu, Conghui Zhu:
Locally Training the Log-Linear Model for SMT. EMNLP-CoNLL 2012: 402-411 - [c3]Wenwen Zhang, Lemao Liu, Hailong Cao, Tiejun Zhao:
Softmax-margin training for statistical machine translation. ICNC 2012: 838-842 - 2011
- [c2]Lemao Liu, Tiejun Zhao, Chao Wang, Hailong Cao:
A Unified and Discriminative Soft Syntactic Constraint Model for Hierarchical Phrase-based Translation. MTSummit 2011 - [c1]Lemao Liu, Tiejun Zhao, Chong Xu:
A head-annotated synchronous context-free grammar for hierarchical phrase-based translation. NLPKE 2011: 51-55
Coauthor Index
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