| 2026 | AAAI | 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 |
| 2026 | ACL | DeReA: Improving Idiom Translation with Detect-Retrieve-Arbitrate Reasoning. | Rongqing Jiang, Xuebo Liu, Shengxin Liu, Yutong Wang, Min Zhang, Shimin Tao, Daimeng Wei |
| 2026 | ACL | D-QRELO: Training- and Data-Free Delta Compression for Large Language Models via Quantization and Residual Low-Rank Approximation. | Junlin Li, Shuangyong Song, Guodong Du, Ngai Wong, Xuebo Liu, Yongxiang Li, Min Zhang, Jing Li, Xuelong Li |
| 2026 | ACL | Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical Reasoning. | Jun Rao, Xuebo Liu, Hexuan Deng, Zepeng Lin, Zixiong Yu, Jiansheng Wei, Xiaojun Meng, Min Zhang |
| 2025 | AAAI | 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 |
| 2025 | ACL | SGIC: A Self-Guided Iterative Calibration Framework for RAG. | Guanhua Chen, Yutong Yao, Lidia S. Chao, Xuebo Liu, Derek F. Wong |
| 2025 | ACL | DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization. | Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Jing Li, Min Zhang, Zhaopeng Tu |
| 2025 | ACL | 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 |
| 2025 | ACL | UnrealLLM: Towards Highly Controllable and Interactable 3D Scene Generation by LLM-powered Procedural Content Generation. | SongTang SongTang, Kaiyong Zhao, Lei Wang, Yuliang Li, Xuebo Liu, Junyi Zou, Qiang Wang, Xiaowen Chu |
| 2025 | ACL | 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 |
| 2025 | COLING | 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 |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models. | Ming Wang, Miao Zhang, Xuebo Liu, Liqiang Nie |
| 2025 | EMNLP | 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 |
| 2025 | ICLR | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | Towards Demonstration-Aware Large Language Models for Machine Translation. | Chen Li, Meishan Zhang, Xuebo Liu, Zhaocong Li, Derek F. Wong, Min Zhang |
| 2024 | ACL | Revisiting Demonstration Selection Strategies in In-Context Learning. | Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao |
| 2024 | ACL | Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation. | Zhexuan Wang, Shudong Liu, Xuebo Liu, Miao Zhang, Derek F. Wong, Min Zhang |
| 2024 | ACL | TasTe: Teaching Large Language Models to Translate through Self-Reflection. | Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang |
| 2024 | ACL | Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. | Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang |
| 2024 | ACL | LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models. | Jiaqi Zhao, Miao Zhang, Chao Zeng, Ming Wang, Xuebo Liu, Liqiang Nie |
| 2024 | COLING | 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 |
| 2024 | COLING | Pluggable Neural Machine Translation Models via Memory-augmented Adapters. | Yuzhuang Xu, Shuo Wang, Peng Li, Xuebo Liu, Xiaolong Wang, Weidong Liu, Yang Liu |
| 2024 | CVPR | 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 |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | LPZero: Language Model Zero-cost Proxy Search from Zero. | Peijie Dong, Lujun Li, Xiang Liu, Zhenheng Tang, Xuebo Liu, Qiang Wang, Xiaowen Chu |
| 2024 | EMNLP | Curriculum Consistency Learning for Conditional Sentence Generation. | Liangxin Liu, Xuebo Liu, Lian Lian, Shengjun Cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang |
| 2024 | EMNLP | CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions. | Jun Rao, Xuebo Liu, Lian Lian, Shengjun Cheng, Yunjie Liao, Min Zhang |
| 2024 | EMNLP | Self-Powered LLM Modality Expansion for Large Speech-Text Models. | Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang |
| 2023 | AAAI | Improving Simultaneous Machine Translation with Monolingual Data. | Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang |
| 2023 | ACL | Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge. | Xuebo Liu, Yutong Wang, Derek F. Wong, Runzhe Zhan, Liangxuan Yu, Min Zhang |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | 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 |
| 2023 | ACL | Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization. | Runzhe Zhan, Xuebo Liu, Derek F. Wong, Cuilian Zhang, Lidia S. Chao, Min Zhang |
| 2023 | ACL | Revisiting Token Dropping Strategy in Efficient BERT Pretraining. | Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix. | Xinyu Ma, Xuebo Liu, Min Zhang |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | PromptST: Abstract Prompt Learning for End-to-End Speech Translation. | Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang |
| 2023 | IGARSS | An Imbalanced Signal Modulation Classification And Evaluation Method Based On Synthetic Minority Over-Sampling Technique. | Xuebo Liu, Yiran Wang, Jing Bai, Haoran Li, Xu Wang |
| 2022 | ACL | 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 |
| 2022 | EMNLP | Revisiting Grammatical Error Correction Evaluation and Beyond. | Peiyuan Gong, Xuebo Liu, Heyan Huang, Min Zhang |
| 2022 | EMNLP | ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. | Zhaocong Li, Xuebo Liu, Derek F. Wong, Lidia S. Chao, Min Zhang |
| 2022 | EMNLP | Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling. | Zhijun Wang, Xuebo Liu, Min Zhang |
| 2021 | AAAI | Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. | Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao |
| 2021 | ACL | 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 |
| 2021 | ACL | Progressive Multi-Granularity Training for Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu |
| 2021 | ACL | 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 |
| 2021 | ACL | Difficulty-Aware Machine Translation Evaluation. | Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao |
| 2021 | EMNLP | 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 |
| 2021 | ICLR | 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 |
| 2021 | ICLR | Understanding and Improving Lexical Choice in Non-Autoregressive Translation. | Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu |
| 2020 | ACL | Norm-Based Curriculum Learning for Neural Machine Translation. | Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao |
| 2020 | CVPR | PolarMask: Single Shot Instance Segmentation With Polar Representation. | Enze Xie, Peize Sun, Xiaoge Song, Wenhai Wang, Xuebo Liu, Ding Liang, Chunhua Shen, Ping Luo |
| 2020 | ECCV | AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting. | Wenhai Wang, Xuebo Liu, Xiaozhong Ji, Enze Xie, Ding Liang, Zhibo Yang, Tong Lu, Chunhua Shen, Ping Luo |
| 2020 | ECCV | Scene Text Image Super-Resolution in the Wild. | Wenjia Wang, Enze Xie, Xuebo Liu, Wenhai Wang, Ding Liang, Chunhua Shen, Xiang Bai |
| 2020 | EMNLP | DocStruct: A Multimodal Method to Extract Hierarchy Structure in Document for General Form Understanding. | Zilong Wang, Mingjie Zhan, Xuebo Liu, Ding Liang |
| 2019 | ACL | Shared-Private Bilingual Word Embeddings for Neural Machine Translation. | Xuebo Liu, Derek F. Wong, Yang Liu, Lidia S. Chao, Tong Xiao, Jingbo Zhu |
| 2019 | CVPR | R3 Adversarial Network for Cross Model Face Recognition. | Ken Chen, Yichao Wu, Haoyu Qin, Ding Liang, Xuebo Liu, Junjie Yan |
| 2018 | CVPR | FOTS: Fast Oriented Text Spotting With a Unified Network. | Xuebo Liu, Ding Liang, Shi Yan, Dagui Chen, Yu Qiao, Junjie Yan |
| 2016 | AAAI | Social Emotion Classification via Reader Perspective Weighted Model. | Xin Li, Yanghui Rao, Yanjia Chen, Xuebo Liu, Huan Huang |