Publications
Full list of published works by Xuebo Liu
2026
Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation
Yanming Sun, Runzhe Zhan, Chi Seng Cheang, Han Wu, Xuebo Liu, Yuyao Niu, Fengying Ye, Kaixin Lan, Lidia S. Chao, Derek F. Wong
Proceedings of AAAI 2026
2025
AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
Zhexuan Wang, Yutong Wang, Xuebo Liu, Liang Ding, Miao Zhang, Jie Liu, Min Zhang
Proceedings of ACL 2025
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization
Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Jing Li, Min Zhang, Zhaopeng Tu
Proceedings of ACL 2025
SGIC: A Self-Guided Iterative Calibration Framework for RAG
Guanhua Chen, Yutong Yao, Derek F. Wong, Xuebo Liu, Lidia S. Chao
Proceedings of ACL 2025
APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training
Jun Rao, Zepeng Lin, Xuebo Liu, Xiaopeng Ke, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang
Proceedings of ACL 2025 Findings
UnrealLLM: Towards Highly Controllable and Interactable 3D Scene Generation by LLM-powered Procedural Content Generation
Song Tang, Kaiyong Zhao, Lei Wang, Yuliang Li, Xuebo Liu, Junyi Zou, Qiang Wang, Xiaowen Chu
Proceedings of ACL 2025 Findings
Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models
Ming Wang, Miao Zhang, Xuebo Liu, Liqiang Nie
Proceedings of EMNLP 2025
AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs
Xiaopeng Ke, Hexuan Deng, Xuebo Liu, Jun Rao, Zhenxi Song, Jun Yu, Min Zhang
Proceedings of EMNLP 2025
CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task
Haosi Mo, Xinyu Ma, Xuebo Liu, Derek F. Wong, Yu Li, Jie Liu, Min Zhang
Proceedings of EMNLP 2025 Findings
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
Proceedings of EMNLP 2025 Findings
AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration
Chunhao Tian, Yutong Wang, Xuebo Liu, Zhexuan Wang, Liang Ding, Miao Zhang, Min Zhang
Proceedings of EMNLP 2025 Findings
SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models
Jun Rao, Yunjie Liao, Xuebo Liu, Zepeng Lin, Lian Lian, Dong Jin, Shengjun Cheng, Jun Yu, Min Zhang
Proceedings of EMNLP 2025 Findings
Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments
Qingyu Lu, Liang Ding, Siyi Cao, Xuebo Liu, Kanjian Zhang, Jinxia Zhang, Dacheng Tao
Proceedings of EMNLP 2025 Findings
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
Proceedings of ICLR 2025
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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
Proceedings of AAAI 2025
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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 COLING 2025
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Exploiting Multimodal Knowledge Graph for Multimodal Machine Translation
Tianjiao Xu, Xuebo Liu, Derek F. Wong, Yue Zhang, Lidia S. Chao, Min Zhang, Tian Gan
IEEE Transactions on Multimedia
Orchestrating Prompt Expertise: Enhancing Knowledge Distillation via Expert-Guided Tuning
Xv Meng, Jun Rao, Shuhan Qi, Xuebo Liu, Lei Wang, Min Zhang, Xuan Wang
ACM Transactions on Asian and Low-Resource Language Information Processing
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 ACL 2024
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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 ACL 2024
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TasTe: Teaching Large Language Models to Translate through Self-Reflection
Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang
Proceedings of ACL 2024
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Revisiting Demonstration Selection Strategies in In-Context Learning
Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Proceedings of ACL 2024
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Towards Demonstration-Aware Large Language Models for Machine Translation
Chen Li, Meishan Zhang, Xuebo Liu, Zhaocong Li, Derek F. Wong, Min Zhang
Proceedings of ACL 2024 Findings
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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 ACL 2024 Findings
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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
Proceedings of ACL 2024 Findings
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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 ACL 2024 Findings
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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 EMNLP 2024
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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 EMNLP 2024
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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 EMNLP 2024
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Self-Powered LLM Modality Expansion for Large Speech-Text Models
Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang
Proceedings of EMNLP 2024
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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 EMNLP 2024 Findings
Paper
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang
Proceedings of NeurIPS 2024
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NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates
Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Min Zhang, Zhaopeng Tu
Proceedings of NeurIPS 2024 Datasets and Benchmarks Track
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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 CVPR 2024
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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 COLING 2024
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3AM: An Ambiguity-Aware Multimodal 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 COLING 2024
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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 NLPCC 2024
Paper
Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data augmentation, and LLM Paradigm
Hexuan Deng, Xin Zhang, Meishan Zhang, Xuebo Liu, Min Zhang
Proceedings of ACL 2024 Workshop (SIGHAN-10)
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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 ACL 2023
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Revisiting Token Dropping Strategy in Efficient BERT Pretraining
Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao
Proceedings of ACL 2023
Paper
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 ACL 2023
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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 ACL 2023
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TemplateGEC: Improving Grammatical Error Correction with Detection Template
Yinghao Li, Xuebo Liu, Shuo Wang, Peiyuan Gong, Derek F. Wong, Yang Gao, He-Yan Huang, Min Zhang
Proceedings of ACL 2023
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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 ACL 2023 Findings
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Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix
Xinyu Ma, Xuebo Liu, Min Zhang
Proceedings of EMNLP 2023
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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 EMNLP 2023
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Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization
Chi Cheang, Hou Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao
Proceedings of EMNLP 2023
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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 EMNLP 2023 Findings
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Improving Simultaneous Machine Translation with Monolingual Data
Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang
Proceedings of AAAI 2023
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Parameter-Efficient and Student-Friendly Knowledge Distillation
Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Xuebo Liu, Min Zhang, Dacheng Tao
IEEE Transactions on Multimedia
Paper
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 ACL 2022
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Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling
Zhijun Wang, Xuebo Liu, Min Zhang
Proceedings of EMNLP 2022
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Revisiting Grammatical Error Correction Evaluation and Beyond
Peiyuan Gong, Xuebo Liu, Heyan Huang, Min Zhang
Proceedings of EMNLP 2022
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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 EMNLP 2022
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2021
Difficulty-Aware Machine Translation Evaluation
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Proceedings of ACL 2021
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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 ACL 2021
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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 ACL 2021 Findings
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Progressive Multi-Granularity Training for Non-Autoregressive Translation
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Proceedings of ACL 2021 Findings
Paper
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 EMNLP 2021 Findings
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Exploiting Translation Model for Parallel Corpus Mining
Chongman Leong, Xuebo Liu, Derek F. Wong, Lidia S. Chao
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Paper
Variance-Aware Machine Translation Test Sets
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Proceedings of NeurIPS 2021 Datasets and Benchmarks Track
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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 ICLR 2021
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Understanding and Improving Lexical Choice in Non-Autoregressive Translation
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Proceedings of ICLR 2021
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Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Proceedings of AAAI 2021
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Until 2020
Norm-Based Curriculum Learning for Neural Machine Translation
Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao
Proceedings of ACL 2020
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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 ACL 2019
Paper
Latent Attribute Based Hierarchical Decoder for Neural Machine Translation
Xuebo Liu, Derek F. Wong, Lidia S. Chao, Yang Liu
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Paper