Xuebo Liu

According to our database, Xuebo Liu authored at least 57 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore.

Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xuebo Liu, Lidia S. Chao, Min Zhang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Parameter-Efficient and Student-Friendly Knowledge Distillation.

Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Xuebo Liu, Min Zhang, Dacheng Tao

IEEE Trans. Multim., 2024

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs.

Xiabin Zhou, Wenbin Wang, Minyan Zeng, Jiaxian Guo, Xuebo Liu, Li Shen, Min Zhang, Liang Ding

CoRR, 2024

Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering.

Yifan Lu, Yigeng Zhou, Jing Li, Yequan Wang, Xuebo Liu, Daojing He, Fangming Liu, Min Zhang

CoRR, 2024

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization.

Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Min Zhang, Zhaopeng Tu

CoRR, 2024

NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates.

Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Min Zhang, Zhaopeng Tu

CoRR, 2024

DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory.

Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, Min Zhang

CoRR, 2024

Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models.

Jun Rao, Xuebo Liu, Zepeng Lin, Liang Ding, Jing Li, Dacheng Tao, Min Zhang

CoRR, 2024

SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection.

Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang

CoRR, 2024

Understanding and Improving Low-Resource Neural Machine Translation with Shallow Features.

Yanming Sun, Xuebo Liu, Derek F. Wong, Yuchu Lin, Bei Li, Runzhe Zhan, Lidia S. Chao, Min Zhang

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Self-Powered LLM Modality Expansion for Large Speech-Text Models.

Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions.

Jun Rao, Xuebo Liu, Lian Lian, Shengjun Cheng, Yunjie Liao, Min Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Curriculum Consistency Learning for Conditional Sentence Generation.

Liangxin Liu, Xuebo Liu, Lian Lian, Shengjun Cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LPZero: Language Model Zero-cost Proxy Search from Zero.

Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner.

Shudong Liu, Zhaocong Li, Xuebo Liu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao, Min Zhang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

EvalCrafter: Benchmarking and Evaluating Large Video Generation Models.

Yaofang Liu, Xiaodong Cun, Xuebo Liu, Xintao Wang, Yong Zhang, Haoxin Chen, Yang Liu, Tieyong Zeng, Raymond Chan, Ying Shan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Pluggable Neural Machine Translation Models via Memory-augmented Adapters.

Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset.

Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models.

Jiaqi Zhao, Miao Zhang, Chao Zeng, Ming Wang, Xuebo Liu, Liqiang Nie

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation.

Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

TasTe: Teaching Large Language Models to Translate through Self-Reflection.

Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation.

Zhexuan Wang, Shudong Liu, Xuebo Liu, Miao Zhang, Derek F. Wong, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Revisiting Demonstration Selection Strategies in In-Context Learning.

Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Towards Demonstration-Aware Large Language Models for Machine Translation.

Chen Li, Meishan Zhang, Xuebo Liu, Zhaocong Li, Derek F. Wong, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Improving Attributed Text Generation of Large Language Models via Preference Learning.

Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

DB-LLM: Accurate Dual-Binarization for Efficient LLMs.

Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm.

Hexuan Deng, Xin Zhang, Meishan Zhang, Xuebo Liu, Min Zhang

CoRR, 2023

TempoSum: Evaluating the Temporal Generalization of Abstractive Summarization.

Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao

CoRR, 2023

PromptST: Abstract Prompt Learning for End-to-End Speech Translation.

Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Making the Most of ChatGPT for Machine Translation.

Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix.

Xinyu Ma, Xuebo Liu, Min Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization.

Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting Token Dropping Strategy in Efficient BERT Pretraining.

Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization.

Runzhe Zhan, Xuebo Liu, Derek F. Wong, Cuilian Zhang, Lidia S. Chao, Min Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation.

Shudong Liu, Xuebo Liu, Derek F. Wong, Zhaocong Li, Wenxiang Jiao, Lidia S. Chao, Min Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TemplateGEC: Improving Grammatical Error Correction with Detection Template.

Yinghao Li, Xuebo Liu, Shuo Wang, Peiyuan Gong, Derek F. Wong, Yang Gao, Heyan Huang, Min Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TransGEC: Improving Grammatical Error Correction with Translationese.

Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge.

Xuebo Liu, Yutong Wang, Derek F. Wong, Runzhe Zhan, Liangxuan Yu, Min Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improving Simultaneous Machine Translation with Monolingual Data.

Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation.

Zheng Zhang, Liang Ding, Dazhao Cheng, Xuebo Liu, Min Zhang, Dacheng Tao

CoRR, 2022

Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling.

Zhijun Wang, Xuebo Liu, Min Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation.

Zhaocong Li, Xuebo Liu, Derek F. Wong, Lidia S. Chao, Min Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Revisiting Grammatical Error Correction Evaluation and Beyond.

Peiyuan Gong, Xuebo Liu, Heyan Huang, Min Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation.

Bei Li, Quan Du, Tao Zhou, Yi Jing, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu, Xuebo Liu, Min Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Exploiting Translation Model for Parallel Corpus Mining.

Chongman Leong, Xuebo Liu, Derek F. Wong, Lidia S. Chao

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Variance-Aware Machine Translation Test Sets.

Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Understanding and Improving Lexical Choice in Non-Autoregressive Translation.

Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu

Proceedings of the 9th International Conference on Learning Representations, 2021

Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning.

Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu

Proceedings of the 9th International Conference on Learning Representations, 2021

On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation.

Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Difficulty-Aware Machine Translation Evaluation.

Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

On the Copying Behaviors of Pre-Training for Neural Machine Translation.

Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Progressive Multi-Granularity Training for Non-Autoregressive Translation.

Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation.

Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation.

Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Norm-Based Curriculum Learning for Neural Machine Translation.

Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Latent Attribute Based Hierarchical Decoder for Neural Machine Translation.

Xuebo Liu, Derek F. Wong, Lidia S. Chao, Yang Liu

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Shared-Private Bilingual Word Embeddings for Neural Machine Translation.

Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019