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Xuebo 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
— 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
- Xuebo Liu 0010 — Xidian University, School of Artificial Intelligence, Xi'an, China
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2020 – today
- 2024
- [j3]Jun Rao
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 - [i32]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) - [i31]Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR abs/2402.11960 (2024) - [i30]Liangxin Liu, Xuebo Liu, Derek F. Wong
SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection. CoRR abs/2402.16705 (2024) - [i29]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) - [i28]Xinyu Ma, Xuebo Liu, Derek F. Wong
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. CoRR abs/2404.18413 (2024) - [i27]Junchao Wu, Runzhe Zhan, Derek F. Wong
Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore. CoRR abs/2405.04286 (2024) - [i26]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) - [i25]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) - 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
kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation. ACL (1) 2023: 1878-1891 - [c23]Tao Fang
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
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
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
Improving Simultaneous Machine Translation with Monolingual Data. CoRR abs/2212.01188 (2022) - [i12]Zhaocong Li, Xuebo Liu, Derek F. Wong
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. CoRR abs/2212.04262 (2022) - 2021
- [j2]Chongman Leong
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
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 2024-10-18 19:33 CEST by the dblp team
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