Shared-Private Bilingual Word Embeddings for Neural Machine Translation. - Xuebo Liu 002; Derek F. Wong; Yang Liu 005; Lidia S. Chao; Tong Xiao; Jingbo Zhu (ACL (1), 2019)

Latent Attribute Based Hierarchical Decoder for Neural Machine Translation. - Xuebo Liu 002; Derek F. Wong; Lidia S. Chao; Yang Liu 005 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Norm-Based Curriculum Learning for Neural Machine Translation. - Xuebo Liu 002; Houtim Lai; Derek F. Wong; Lidia S. Chao (ACL, 2020)

Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. - Runzhe Zhan; Xuebo Liu 002; Derek F. Wong; Lidia S. Chao (AAAI, 2021)

Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. - Liang Ding 006; Longyue Wang; Xuebo Liu 002; Derek F. Wong; Dacheng Tao; Zhaopeng Tu (ACL/IJCNLP (1), 2021)

Progressive Multi-Granularity Training for Non-Autoregressive Translation. - Liang Ding 006; Longyue Wang; Xuebo Liu 002; Derek F. Wong; Dacheng Tao; Zhaopeng Tu (ACL/IJCNLP (Findings), 2021)

On the Copying Behaviors of Pre-Training for Neural Machine Translation. - Xuebo Liu 002; Longyue Wang; Derek F. Wong; Liang Ding 006; Lidia S. Chao; Shuming Shi 001; Zhaopeng Tu (ACL/IJCNLP (Findings), 2021)

Difficulty-Aware Machine Translation Evaluation. - Runzhe Zhan; Xuebo Liu 002; Derek F. Wong; Lidia S. Chao (ACL/IJCNLP (2), 2021)

On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. - Xuebo Liu 002; Longyue Wang; Derek F. Wong; Liang Ding 006; Lidia S. Chao; Shuming Shi 001; Zhaopeng Tu (EMNLP (Findings), 2021)

Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. - Xuebo Liu 002; Longyue Wang; Derek F. Wong; Liang Ding 006; Lidia S. Chao; Zhaopeng Tu (ICLR, 2021)

Understanding and Improving Lexical Choice in Non-Autoregressive Translation. - Liang Ding 006; Longyue Wang; Xuebo Liu 002; Derek F. Wong; Dacheng Tao; Zhaopeng Tu (ICLR, 2021)

Variance-Aware Machine Translation Test Sets. - Runzhe Zhan; Xuebo Liu 002; Derek F. Wong; Lidia S. Chao (NeurIPS Datasets and Benchmarks, 2021)

Exploiting Translation Model for Parallel Corpus Mining. - Chongman Leong; Xuebo Liu 002; Derek F. Wong; Lidia S. Chao (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

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 002; Min Zhang 005 (ACL (1), 2022)

Revisiting Grammatical Error Correction Evaluation and Beyond. - Peiyuan Gong; Xuebo Liu 002; Heyan Huang; Min Zhang 005 (EMNLP, 2022)

ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. - Zhaocong Li; Xuebo Liu 002; Derek F. Wong; Lidia S. Chao; Min Zhang 005 (EMNLP, 2022)

Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling. - Zhijun Wang; Xuebo Liu 002; Min Zhang 005 (EMNLP, 2022)

BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation. - Zheng Zhang 036; Liang Ding 006; Dazhao Cheng; Xuebo Liu 002; Min Zhang 005; Dacheng Tao (CoRR, 2022)

Improving Simultaneous Machine Translation with Monolingual Data. - Hexuan Deng; Liang Ding 006; Xuebo Liu 002; Meishan Zhang; Dacheng Tao; Min Zhang 005 (AAAI, 2023)

Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge. - Xuebo Liu 002; Yutong Wang; Derek F. Wong; Runzhe Zhan; Liangxuan Yu; Min Zhang 005 (ACL (1), 2023)

TransGEC: Improving Grammatical Error Correction with Translationese. - Tao Fang; Xuebo Liu 002; Derek F. Wong; Runzhe Zhan; Liang Ding 006; Lidia S. Chao; Dacheng Tao; Min Zhang 005 (ACL (Findings), 2023)

TemplateGEC: Improving Grammatical Error Correction with Detection Template. - Yinghao Li; Xuebo Liu 002; Shuo Wang 013; Peiyuan Gong; Derek F. Wong; Yang Gao 016; Heyan Huang; Min Zhang 005 (ACL (1), 2023)

kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation. - Shudong Liu 004; Xuebo Liu 002; Derek F. Wong; Zhaocong Li; Wenxiang Jiao; Lidia S. Chao; Min Zhang 005 (ACL (1), 2023)

Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization. - Runzhe Zhan; Xuebo Liu 002; Derek F. Wong; Cuilian Zhang; Lidia S. Chao; Min Zhang 005 (ACL (1), 2023)

Revisiting Token Dropping Strategy in Efficient BERT Pretraining. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Xuebo Liu 002; Min Zhang 005; Bo Du 001; Dacheng Tao (ACL (1), 2023)

Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization. - Chi Seng Cheang; Hou Pong Chan; Derek F. Wong; Xuebo Liu 002; Zhaocong Li; Yanming Sun; Shudong Liu 004; Lidia S. Chao (EMNLP, 2023)

Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix. - Xinyu Ma; Xuebo Liu 002; Min Zhang 005 (EMNLP, 2023)

Towards Making the Most of ChatGPT for Machine Translation. - Keqin Peng; Liang Ding 006; Qihuang Zhong; Li Shen 008; Xuebo Liu 002; Min Zhang 005; Yuanxin Ouyang; Dacheng Tao (EMNLP (Findings), 2023)

PromptST: Abstract Prompt Learning for End-to-End Speech Translation. - Tengfei Yu; Liang Ding 006; Xuebo Liu 002; Kehai Chen; Meishan Zhang; Dacheng Tao; Min Zhang 005 (EMNLP, 2023)

TempoSum: Evaluating the Temporal Generalization of Abstractive Summarization. - Chi Seng Cheang; Hou Pong Chan; Derek F. Wong; Xuebo Liu 002; Zhaocong Li; Yanming Sun; Shudong Liu 004; Lidia S. Chao (CoRR, 2023)

Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm. - Hexuan Deng; Xin Zhang 097; Meishan Zhang; Xuebo Liu 002; Min Zhang 005 (CoRR, 2023)

DB-LLM: Accurate Dual-Binarization for Efficient LLMs. - Hong Chen 014; Chengtao Lv; Liang Ding 006; Haotong Qin; Xiabin Zhou; Yifu Ding; Xuebo Liu 002; Min Zhang 005; Jinyang Guo; Xianglong Liu 001; Dacheng Tao (ACL (Findings), 2024)

Improving Attributed Text Generation of Large Language Models via Preference Learning. - Dongfang Li 002; Zetian Sun; Baotian Hu; Zhenyu Liu; Xinshuo Hu; Xuebo Liu 002; Min Zhang 005 (ACL (Findings), 2024)

Towards Demonstration-Aware Large Language Models for Machine Translation. - Chen Li 001; Meishan Zhang; Xuebo Liu 002; Zhaocong Li; Derek F. Wong; Min Zhang 005 (ACL (Findings), 2024)

Revisiting Demonstration Selection Strategies in In-Context Learning. - Keqin Peng; Liang Ding 006; Yancheng Yuan; Xuebo Liu 002; Min Zhang 005; Yuanxin Ouyang; Dacheng Tao (ACL (1), 2024)

Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation. - Zhexuan Wang; Shudong Liu 004; Xuebo Liu 002; Miao Zhang; Derek F. Wong; Min Zhang 005 (ACL (Findings), 2024)

TasTe: Teaching Large Language Models to Translate through Self-Reflection. - Yutong Wang; Jiali Zeng; Xuebo Liu 002; Fandong Meng; Jie Zhou 016; Min Zhang 005 (ACL (1), 2024)

Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. - Tengfei Yu; Xuebo Liu 002; Liang Ding 006; Kehai Chen; Dacheng Tao; Min Zhang 005 (ACL (1), 2024)

LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models. - Jiaqi Zhao; Miao Zhang; Chao Zeng; Ming Wang; Xuebo Liu 002; Liqiang Nie (ACL (1), 2024)

3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. - Xinyu Ma; Xuebo Liu 002; Derek F. Wong; Jun Rao; Bei Li; Liang Ding 006; Lidia S. Chao; Dacheng Tao; Min Zhang 005 (LREC/COLING, 2024)

Pluggable Neural Machine Translation Models via Memory-augmented Adapters. - Yuzhuang Xu; Shuo Wang 013; Peng Li 030; Xuebo Liu 002; Xiaolong Wang 014; Weidong Liu; Yang Liu 005 (LREC/COLING, 2024)

EvalCrafter: Benchmarking and Evaluating Large Video Generation Models. - Yaofang Liu; Xiaodong Cun; Xuebo Liu 002; Xintao Wang 002; Yong Zhang 034; Haoxin Chen; Yang Liu 005; Tieyong Zeng; Raymond Chan 001; Ying Shan (CVPR, 2024)

Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner. - Shudong Liu 004; Zhaocong Li; Xuebo Liu 002; Runzhe Zhan; Derek F. Wong; Lidia S. Chao; Min Zhang 005 (EMNLP, 2024)

LPZero: Language Model Zero-cost Proxy Search from Zero. - Peijie Dong; Lujun Li 001; Xiang Liu 001; Zhenheng Tang; Xuebo Liu 002; Qiang Wang 022; Xiaowen Chu 001 (EMNLP (Findings), 2024)

Curriculum Consistency Learning for Conditional Sentence Generation. - Liangxin Liu; Xuebo Liu 002; Lian Lian; Shengjun Cheng; Jun Rao; Tengfei Yu; Hexuan Deng; Min Zhang 005 (EMNLP, 2024)

CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions. - Jun Rao; Xuebo Liu 002; Lian Lian; Shengjun Cheng; Yunjie Liao; Min Zhang 005 (EMNLP, 2024)

Self-Powered LLM Modality Expansion for Large Speech-Text Models. - Tengfei Yu; Xuebo Liu 002; Zhiyi Hou; Liang Ding 006; Dacheng Tao; Min Zhang 005 (EMNLP, 2024)

NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates. - Hexuan Deng; Wenxiang Jiao; Xuebo Liu 002; Min Zhang 005; Zhaopeng Tu (NeurIPS, 2024)

SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection. - Liangxin Liu; Xuebo Liu 002; Derek F. Wong; Dongfang Li 002; Ziyi Wang; Baotian Hu; Min Zhang 005 (NeurIPS, 2024)

Understanding and Improving Low-Resource Neural Machine Translation with Shallow Features. - Yanming Sun; Xuebo Liu 002; Derek F. Wong; Yuchu Lin; Bei Li; Runzhe Zhan; Lidia S. Chao; Min Zhang 005 (NLPCC (3), 2024)

SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection. - Liangxin Liu; Xuebo Liu 002; Derek F. Wong; Dongfang Li 002; Ziyi Wang; Baotian Hu; Min Zhang 005 (CoRR, 2024)

Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models. - Jun Rao; Xuebo Liu 002; Zepeng Lin; Liang Ding 006; Jing Li 047; Dacheng Tao; Min Zhang 005 (CoRR, 2024)

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization. - Hexuan Deng; Wenxiang Jiao; Xuebo Liu 002; Min Zhang 005; Zhaopeng Tu (CoRR, 2024)

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs. - Xiabin Zhou; Wenbin Wang; Minyan Zeng; Jiaxian Guo; Xuebo Liu 002; Li Shen 008; Min Zhang 005; Liang Ding 006 (CoRR, 2024)

Parameter-Efficient and Student-Friendly Knowledge Distillation. - Jun Rao; Xv Meng; Liang Ding 006; Shuhan Qi; Xuebo Liu 002; Min Zhang 005; Dacheng Tao (IEEE Trans. Multim., 2024)

Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering. - Yifan Lu; Yigeng Zhou; Jing Li 034; Yequan Wang; Xuebo Liu 002; Daojing He; Fangming Liu; Min Zhang 005 (AAAI, 2025)

SGIC: A Self-Guided Iterative Calibration Framework for RAG. - Guanhua Chen 006; Yutong Yao; Lidia S. Chao; Xuebo Liu 002; Derek F. Wong (ACL (1), 2025)

DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization. - Hexuan Deng; Wenxiang Jiao; Xuebo Liu 002; Jing Li; Min Zhang 005; Zhaopeng Tu (ACL (1), 2025)

APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training. - Jun Rao; Zepeng Lin; Xuebo Liu 002; Xiaopeng Ke; Lian Lian; Dong Jin; Shengjun Cheng; Jun Yu; Min Zhang 005 (ACL (Findings), 2025)

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 002; Junyi Zou; Qiang Wang 022; Xiaowen Chu 001 (ACL (Findings), 2025)

AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration. - Zhexuan Wang; Yutong Wang; Xuebo Liu 002; Liang Ding 006; Miao Zhang; Jie Liu 001; Min Zhang 005 (ACL (1), 2025)

Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore. - Junchao Wu; Runzhe Zhan; Derek F. Wong; Shu Yang 010; Xuebo Liu 002; Lidia S. Chao; Min Zhang 005 (COLING, 2025)

DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory. - Yutong Wang; Jiali Zeng; Xuebo Liu 002; Derek F. Wong; Fandong Meng; Jie Zhou 016; Min Zhang 005 (ICLR, 2025)

Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis. - Jiaqi Zhao; Ming Wang; Miao Zhang; Yuzhang Shang; Xuebo Liu 002; Yaowei Wang 001; Min Zhang 005; Liqiang Nie (CoRR, 2025)

Dynamic Sampling that Adapts: Iterative DPO for Self-Aware Mathematical Reasoning. - Jun Rao; Xuebo Liu 002; Hexuan Deng; Zepeng Lin; Zixiong Yu; Jiansheng Wei; Xiaojun Meng; Min Zhang 005 (CoRR, 2025)

Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments. - Qingyu Lu; Liang Ding 006; Siyi Cao; Xuebo Liu 002; Kanjian Zhang; Jinxia Zhang; Dacheng Tao (CoRR, 2025)

REA-RL: Reflection-Aware Online Reinforcement Learning for Efficient Large Reasoning Models. - Hexuan Deng; Wenxiang Jiao; Xuebo Liu 002; Jun Rao; Min Zhang 005 (CoRR, 2025)

Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning. - Weiyang Guo; Zesheng Shi; Zhuo Li; Yequan Wang; Xuebo Liu 002; Wenya Wang; Fangming Liu; Min Zhang 005; Jing Li 034 (CoRR, 2025)

AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs. - Xiaopeng Ke; Hexuan Deng; Xuebo Liu 002; Jun Rao; Zhenxi Song; Jun Yu; Min Zhang 005 (CoRR, 2025)