Xuebo Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 65

Top Topics

Machine Translation

Top Venues

Publications

Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang
SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection. CoRR (2024)
Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Xuebo Liu, Min Zhang, Dacheng Tao
Parameter-Efficient and Student-Friendly Knowledge Distillation. IEEE Trans. Multim. 26 (2024)
Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. LREC/COLING (2024)
Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Revisiting Demonstration Selection Strategies in In-Context Learning. ACL (1) (2024)
Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang
Improving Attributed Text Generation of Large Language Models via Preference Learning. ACL (Findings) (2024)
Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Revisiting Demonstration Selection Strategies in In-Context Learning. CoRR (2024)
Jiaqi Zhao, Miao Zhang, Chao Zeng, Ming Wang, Xuebo Liu, Liqiang Nie
LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models. ACL (1) (2024)
Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang
Improving Attributed Text Generation of Large Language Models via Preference Learning. CoRR (2024)
Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu
Pluggable Neural Machine Translation Models via Memory-augmented Adapters. LREC/COLING (2024)
Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang
TasTe: Teaching Large Language Models to Translate through Self-Reflection. ACL (1) (2024)
Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang
TasTe: Teaching Large Language Models to Translate through Self-Reflection. CoRR (2024)
Zhexuan Wang, Shudong Liu, Xuebo Liu, Miao Zhang, Derek F. Wong, Min Zhang
Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation. ACL (Findings) (2024)
Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang
Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. ACL (1) (2024)
Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xuebo Liu, Lidia S. Chao, Min Zhang
Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore. CoRR (2024)
Chen Li, Meishan Zhang, Xuebo Liu, Zhaocong Li, Derek F. Wong, Min Zhang
Towards Demonstration-Aware Large Language Models for Machine Translation. ACL (Findings) (2024)
Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. ACL (Findings) (2024)
Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. CoRR (2024)
Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR (2024)
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) (2023)
Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao
Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization. EMNLP (2023)
Xinyu Ma, Xuebo Liu, Min Zhang
Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix. CoRR (2023)
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Towards Making the Most of ChatGPT for Machine Translation. CoRR (2023)
Shudong Liu, Xuebo Liu, Derek F. Wong, Zhaocong Li, Wenxiang Jiao, Lidia S. Chao, Min Zhang
kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation. ACL (1) (2023)
Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang
PromptST: Abstract Prompt Learning for End-to-End Speech Translation. EMNLP (2023)
Hexuan Deng, Xin Zhang, Meishan Zhang, Xuebo Liu, Min Zhang
Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm. CoRR (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao
Revisiting Token Dropping Strategy in Efficient BERT Pretraining. CoRR (2023)
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Cuilian Zhang, Lidia S. Chao, Min Zhang
Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization. ACL (1) (2023)
Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang
Improving Simultaneous Machine Translation with Monolingual Data. AAAI (2023)
Yinghao Li, Xuebo Liu, Shuo Wang, Peiyuan Gong, Derek F. Wong, Yang Gao, Heyan Huang, Min Zhang
TemplateGEC: Improving Grammatical Error Correction with Detection Template. ACL (1) (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao
Revisiting Token Dropping Strategy in Efficient BERT Pretraining. ACL (1) (2023)
Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu
Pluggable Neural Machine Translation Models via Memory-augmented Adapters. CoRR (2023)
Xuebo Liu, Yutong Wang, Derek F. Wong, Runzhe Zhan, Liangxuan Yu, Min Zhang
Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge. ACL (1) (2023)
Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao
TempoSum: Evaluating the Temporal Generalization of Abstractive Summarization. CoRR (2023)
Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
TransGEC: Improving Grammatical Error Correction with Translationese. ACL (Findings) (2023)
Zheng Zhang, Liang Ding, Dazhao Cheng, Xuebo Liu, Min Zhang, Dacheng Tao
BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation. CoRR (2022)
Bei Li, Quan Du, Tao Zhou, Yi Jing, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu, Xuebo Liu, Min Zhang
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation. CoRR (2022)
Zhaocong Li, Xuebo Liu, Derek F. Wong, Lidia S. Chao, Min Zhang
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. CoRR (2022)
Zhijun Wang, Xuebo Liu, Min Zhang
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling. CoRR (2022)
Peiyuan Gong, Xuebo Liu, Heyan Huang, Min Zhang
Revisiting Grammatical Error Correction Evaluation and Beyond. EMNLP (2022)
Bei Li, Quan Du, Tao Zhou, Yi Jing, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu, Xuebo Liu, Min Zhang
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation. ACL (1) (2022)
Peiyuan Gong, Xuebo Liu, Heyan Huang, Min Zhang
Revisiting Grammatical Error Correction Evaluation and Beyond. CoRR (2022)
Chongman Leong, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Exploiting Translation Model for Parallel Corpus Mining. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Variance-Aware Machine Translation Test Sets. CoRR (2021)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Understanding and Improving Lexical Choice in Non-Autoregressive Translation. ICLR (2021)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. CoRR (2021)
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. AAAI (2021)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Progressive Multi-Granularity Training for Non-Autoregressive Translation. ACL/IJCNLP (Findings) (2021)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. ACL/IJCNLP (1) (2021)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Progressive Multi-Granularity Training for Non-Autoregressive Translation. CoRR (2021)
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. CoRR (2021)
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Variance-Aware Machine Translation Test Sets. NeurIPS Datasets and Benchmarks (2021)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. CoRR (2021)
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Difficulty-Aware Machine Translation Evaluation. ACL/IJCNLP (2) (2021)
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Difficulty-Aware Machine Translation Evaluation. CoRR (2021)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
On the Copying Behaviors of Pre-Training for Neural Machine Translation. CoRR (2021)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. EMNLP (Findings) (2021)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. ICLR (2021)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
On the Copying Behaviors of Pre-Training for Neural Machine Translation. ACL/IJCNLP (Findings) (2021)
Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao
Norm-Based Curriculum Learning for Neural Machine Translation. CoRR (2020)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Understanding and Improving Lexical Choice in Non-Autoregressive Translation. CoRR (2020)
Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao
Norm-Based Curriculum Learning for Neural Machine Translation. ACL (2020)
Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. CoRR (2020)
Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu
Shared-Private Bilingual Word Embeddings for Neural Machine Translation. ACL (1) (2019)
Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu
Shared-Private Bilingual Word Embeddings for Neural Machine Translation. CoRR (2019)
Xuebo Liu, Derek F. Wong, Lidia S. Chao, Yang Liu
Latent Attribute Based Hierarchical Decoder for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 27 (12) (2019)