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ORCIDXuebo Liu 0002
刘学博
Person information
- unicode name: 刘学博
- affiliation: Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China
- affiliation (former): University of Macau, Taipa, Macau
Other persons with the same name
- Xuebo Liu 0001
![[0000-0001-9616-1922]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9616-1922")
— Sensetime Group Ltd., Beijing, China - Xuebo Liu 0003 — Shanghai Tongji Hospital, Tongji University, Shanghai, China
- Xuebo Liu 0004 — Sun Yat-sen University, Guangzhou, China
- Xuebo Liu 0005 — Qingdao University of Technology, Qingdao, China
- Xuebo Liu 0006 — Taiyuan University of Technology, Taiyuan, China
- Xuebo Liu 0007 — SYSU-CMU Shunde International Joint Research Institute, Foshan, China
- Xuebo Liu 0008 — Kansas State University, Manhattan, KS, US
- Xuebo Liu 0010 — Xidian University, School of Artificial Intelligence, Xi'an, China
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2020 – today
- 2024
[j3]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: 4230-4241 (2024)- [c37]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: 2240-2255 - [c36]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: 5079-5101 - [c35]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: 6144-6158 - [c34]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: 8020-8035 - [c33]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: 8719-8730 - [c32]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: 9090-9101 - [c31]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: 9458-9469 - [c30]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: 13868-13881 - [c29]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: 1-13 - [c28]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: 12794-12808 - [c27]Yaofang Liu, Xiaodong Cun, Xuebo Liu, Xintao Wang, Yong Zhang, Haoxin Chen, Yang Liu, Tieyong Zeng, Raymond H. Chan, Ying Shan:
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models. CVPR 2024: 22139-22149 - [i33]Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Revisiting Demonstration Selection Strategies in In-Context Learning. CoRR abs/2401.12087 (2024) - [i32]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 abs/2402.11960 (2024) - [i31]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 abs/2402.16705 (2024) - [i30]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 abs/2403.18381 (2024) - [i29]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 abs/2404.18413 (2024) - [i28]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 abs/2405.04286 (2024) - [i27]Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang:
TasTe: Teaching Large Language Models to Translate through Self-Reflection. CoRR abs/2406.08434 (2024) - [i26]Jun Rao, Xuebo Liu, Zepeng Lin, Liang Ding, Jing Li, Dacheng Tao, Min Zhang:
Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models. CoRR abs/2409.12512 (2024) - [i25]Jun Rao, Xuebo Liu, Lian Lian, Shengjun Cheng, Yunjie Liao, Min Zhang:
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions. CoRR abs/2410.03077 (2024) - 2023
- [c26]Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang:
Improving Simultaneous Machine Translation with Monolingual Data. AAAI 2023: 12728-12736 - [c25]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: 807-820 - [c24]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: 1878-1891 - [c23]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: 3614-3633 - [c22]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: 6878-6892 - [c21]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: 10391-10405 - [c20]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: 15536-15550 - [c19]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: 5622-5633 - [c18]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: 10140-10154 - [c17]Xinyu Ma, Xuebo Liu, Min Zhang:
Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix. EMNLP 2023: 13794-13804 - [c16]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: 16205-16217 - [i24]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 abs/2303.13780 (2023) - [i23]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 abs/2305.01951 (2023) - [i22]Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao:
Revisiting Token Dropping Strategy in Efficient BERT Pretraining. CoRR abs/2305.15273 (2023) - [i21]Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu:
Pluggable Neural Machine Translation Models via Memory-augmented Adapters. CoRR abs/2307.06029 (2023) - [i20]Hexuan Deng, Xin Zhang, Meishan Zhang, Xuebo Liu, Min Zhang:
Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm. CoRR abs/2307.13424 (2023) - [i19]Yaofang Liu, Xiaodong Cun, Xuebo Liu, Xintao Wang, Yong Zhang, Haoxin Chen, Yang Liu, Tieyong Zeng, Raymond H. Chan, Ying Shan:
EvalCrafter: Benchmarking and Evaluating Large Video Generation Models. CoRR abs/2310.11440 (2023) - [i18]Xinyu Ma, Xuebo Liu, Min Zhang:
Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix. CoRR abs/2312.02820 (2023) - 2022
- [c15]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: 8335-8351 - [c14]Zhijun Wang, Xuebo Liu, Min Zhang:
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling. EMNLP 2022: 6473-6484 - [c13]Peiyuan Gong, Xuebo Liu, Heyan Huang, Min Zhang:
Revisiting Grammatical Error Correction Evaluation and Beyond. EMNLP 2022: 6891-6902 - [c12]Zhaocong Li, Xuebo Liu, Derek F. Wong, Lidia S. Chao, Min Zhang:
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. EMNLP 2022: 8383-8394 - [i17]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 abs/2203.09176 (2022) - [i16]Zheng Zhang, Liang Ding, Dazhao Cheng, Xuebo Liu, Min Zhang, Dacheng Tao:
BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation. CoRR abs/2204.07837 (2022) - [i15]Peiyuan Gong, Xuebo Liu, Heyan Huang, Min Zhang:
Revisiting Grammatical Error Correction Evaluation and Beyond. CoRR abs/2211.01635 (2022) - [i14]Zhijun Wang, Xuebo Liu, Min Zhang:
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling. CoRR abs/2211.12781 (2022) - [i13]Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang:
Improving Simultaneous Machine Translation with Monolingual Data. CoRR abs/2212.01188 (2022) - [i12]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 abs/2212.04262 (2022) - 2021
- [j2]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: 2829-2839 (2021) - [c11]Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao:
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. AAAI 2021: 14310-14318 - [c10]Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao:
Difficulty-Aware Machine Translation Evaluation. ACL/IJCNLP (2) 2021: 26-32 - [c9]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: 2797-2803 - [c8]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: 3431-3441 - [c7]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: 4265-4275 - [c6]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: 2900-2907 - [c5]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 - [c4]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Understanding and Improving Lexical Choice in Non-Autoregressive Translation. ICLR 2021 - [c3]Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao:
Variance-Aware Machine Translation Test Sets. NeurIPS Datasets and Benchmarks 2021 - [i11]Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao:
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. CoRR abs/2103.02262 (2021) - [i10]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 abs/2106.00903 (2021) - [i9]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Progressive Multi-Granularity Training for Non-Autoregressive Translation. CoRR abs/2106.05546 (2021) - [i8]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 abs/2107.08212 (2021) - [i7]Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao:
Difficulty-Aware Machine Translation Evaluation. CoRR abs/2107.14402 (2021) - [i6]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 abs/2110.01811 (2021) - [i5]Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao:
Variance-Aware Machine Translation Test Sets. CoRR abs/2111.04079 (2021) - 2020
- [c2]Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao:
Norm-Based Curriculum Learning for Neural Machine Translation. ACL 2020: 427-436 - [i4]Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao:
Norm-Based Curriculum Learning for Neural Machine Translation. CoRR abs/2006.02014 (2020) - [i3]Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu:
Understanding and Improving Lexical Choice in Non-Autoregressive Translation. CoRR abs/2012.14583 (2020) - [i2]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 abs/2012.14768 (2020)
2010 – 2019
- 2019
- [j1]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): 2103-2112 (2019) - [c1]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: 3613-3622 - [i1]Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu:
Shared-Private Bilingual Word Embeddings for Neural Machine Translation. CoRR abs/1906.03100 (2019)
Coauthor Index
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last updated on 2024-11-08 21:32 CET by the dblp team
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