Derek F. Wong

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 123

Top Venues

CoRR

ACL (1)

IEEE ACM Trans. Audio Speech Lang. Process.

ACL (Findings)

Publications

Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang
SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection. CoRR (2024)
Jianhui Pang, Fanghua Ye, Longyue Wang, Dian Yu, Derek F. Wong, Shuming Shi, Zhaopeng Tu
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models. CoRR (2024)
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)
Guanhua Chen, Yutong Yao, Derek F. Wong, Lidia S. Chao
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU. LREC/COLING (2024)
Jianhui Pang, Fanghua Ye, Derek F. Wong, Xin He, Wanshun Chen, Longyue Wang
Anchor-based Large Language Models. ACL (Findings) (2024)
Kaixin Lan, Tao Fang, Derek F. Wong, Yabo Xu, Lidia S. Chao, Cecilia G. Zhao
FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models. ACL (Findings) (2024)
Zhipeng Qian, Pei Zhang, Baosong Yang, Kai Fan, Yiwei Ma, Derek F. Wong, Xiaoshuai Sun, Rongrong Ji
AnyTrans: Translate AnyText in the Image with Large Scale Models. CoRR (2024)
Fanghua Ye, Mingming Yang, Jianhui Pang, Longyue Wang, Derek F. Wong, Emine Yilmaz, Shuming Shi, Zhaopeng Tu
Benchmarking LLMs via Uncertainty Quantification. CoRR (2024)
Haoyun Xu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao
Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model. CoRR (2024)
Renhao Li, Minghuan Tan, Derek F. Wong, Min Yang
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation. CoRR (2024)
Shanshan Wang, Derek F. Wong, Jingming Yao, Lidia S. Chao
What is the Best Way for ChatGPT to Translate Poetry? CoRR (2024)
Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Zhuosheng Zhang, Rui Wang
Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning. CoRR (2024)
Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. CoRR (2024)
Kaixin Lan, Tao Fang, Derek F. Wong, Yabo Xu, Lidia S. Chao, Cecilia G. Zhao
FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models. CoRR (2024)
Longyue Wang, Zefeng Du, Wenxiang Jiao, Chenyang Lyu, Jianhui Pang, Leyang Cui, Kaiqiang Song, Derek F. Wong, Shuming Shi, Zhaopeng Tu
Benchmarking and Improving Long-Text Translation with Large Language Models. ACL (Findings) (2024)
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)
Jianhui Pang, Fanghua Ye, Derek F. Wong, Longyue Wang
Anchor-based Large Language Models. CoRR (2024)
Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xuebo Liu, Lidia S. Chao, Min Zhang
Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore. CoRR (2024)
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)
Guanhua Chen, Yutong Yao, Derek F. Wong, Lidia S. Chao
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU. CoRR (2024)
Chenyang Lyu, Zefeng Du, Jitao Xu, Yitao Duan, Minghao Wu, Teresa Lynn, Alham Fikri Aji, Derek F. Wong, Longyue Wang
A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models. LREC/COLING (2024)
Runzhe Zhan, Xinyi Yang, Derek F. Wong, Lidia S. Chao, Yue Zhang
Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model. CoRR (2024)
Shanshan Wang, Derek F. Wong, Jingming Yao, Lidia S. Chao
What is the Best Way for ChatGPT to Translate Poetry? ACL (1) (2024)
Runzhe Zhan, Xinyi Yang, Derek F. Wong, Lidia S. Chao, Yue Zhang
Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model. ACL (Findings) (2024)
Jianhui Pang, Baosong Yang, Derek F. Wong, Dayiheng Liu, Xiangpeng Wei, Jun Xie, Lidia S. Chao
MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation. LREC/COLING (2024)
Chenhao Zhang, Renhao Li, Minghuan Tan, Min Yang, Jingwei Zhu, Di Yang, Jiahao Zhao, Guancheng Ye, Chengming Li, Xiping Hu, Derek F. Wong
CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling. CoRR (2024)
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. CoRR (2024)
Guanhua Chen, Runzhe Zhan, Derek F. Wong, Lidia S. Chao
Dynamic curriculum learning for conversation response selection. Knowl. Based Syst. 293 (2024)
Xinyi Yang, Runzhe Zhan, Derek F. Wong, Junchao Wu, Lidia S. Chao
Human-in-the-loop Machine Translation with Large Language Model. CoRR (2023)
Tao Fang, Shu Yang, Kaixin Lan, Derek F. Wong, Jinpeng Hu, Lidia S. Chao, Yue Zhang
Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation. CoRR (2023)
Zhihong Huang, Longyue Wang, Siyou Liu, Derek F. Wong
How Does Pretraining Improve Discourse-Aware Translation? INTERSPEECH (2023)
Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie
Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors. CoRR (2023)
Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao
Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization. EMNLP (2023)
Rong Xiao, Yu Wan, Baosong Yang, Haibo Zhang, Huajin Tang, Derek F. Wong, Boxing Chen
Towards Energy-Preserving Natural Language Understanding With Spiking Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Jingkun Ma, Runzhe Zhan, Derek F. Wong
Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System. EACL (System Demonstrations) (2023)
Shudong Liu, Xuebo Liu, Derek F. Wong, Zhaocong Li, Wenxiang Jiao, Lidia S. Chao, Min Zhang
kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation. ACL (1) (2023)
Guanhua Chen, Runzhe Zhan, Derek F. Wong, Lidia S. Chao
Multi-Level Curriculum Learning for Multi-Turn Dialogue Generation. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Mingzhou Xu, Longyue Wang, Siyou Liu, Derek F. Wong, Shuming Shi, Zhaopeng Tu
A benchmark dataset and evaluation methodology for Chinese zero pronoun translation. Lang. Resour. Evaluation 57 (3) (2023)
Junchao Wu, Shu Yang, Runzhe Zhan, Yulin Yuan, Derek F. Wong, Lidia S. Chao
A Survey on LLM-generated Text Detection: Necessity, Methods, and Future Directions. CoRR (2023)
Tao Fang, Jinpeng Hu, Derek F. Wong, Xiang Wan, Lidia S. Chao, Tsung-Hui Chang
Improving Grammatical Error Correction with Multimodal Feature Integration. ACL (Findings) (2023)
Cuilian Zhang, Derek F. Wong, Eddy Sio Kei Lei, Runzhe Zhan, Lidia S. Chao
Obscurity-Quantified Curriculum Learning for Machine Translation Evaluation. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
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)
Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. ACL (1) (2023)
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)
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)
Chi Seng Cheang, Hou Pong Chan, Derek F. Wong, Xuebo Liu, Zhaocong Li, Yanming Sun, Shudong Liu, Lidia S. Chao
TempoSum: Evaluating the Temporal Generalization of Abstractive Summarization. CoRR (2023)
Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
TransGEC: Improving Grammatical Error Correction with Translationese. ACL (Findings) (2023)
Zhihong Huang, Longyue Wang, Siyou Liu, Derek F. Wong
How Does Pretraining Improve Discourse-Aware Translation? CoRR (2023)
Yu Wan, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, Jun Xie
Alibaba-Translate China's Submission for WMT2022 Metrics Shared Task. WMT (2022)
Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie
Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task. WMT (2022)
Mingzhou Xu, Longyue Wang, Derek F. Wong, Hongye Liu, Linfeng Song, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation. EMNLP (2022)
Yu Wan, Keqin Bao, Dayiheng Liu, Baosong Yang, Derek F. Wong, Lidia S. Chao, Wenqiang Lei, Jun Xie
Alibaba-Translate China's Submission for WMT 2022 Metrics Shared Task. CoRR (2022)
Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek F. Wong, Lidia S. Chao
UniTE: Unified Translation Evaluation. ACL (1) (2022)
Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, Lidia S. Chao
Attention Mechanism with Energy-Friendly Operations. CoRR (2022)
Yu Wan, Dayiheng Liu, Baosong Yang, Tianchi Bi, Haibo Zhang, Boxing Chen, Weihua Luo, Derek F. Wong, Lidia S. Chao
RoBLEURT Submission for the WMT2021 Metrics Task. CoRR (2022)
Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, Lidia S. Chao
Attention Mechanism with Energy-Friendly Operations. ACL (Findings) (2022)
Zhaocong Li, Xuebo Liu, Derek F. Wong, Lidia S. Chao, Min Zhang
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. CoRR (2022)
Keqin Bao, Yu Wan, Dayiheng Liu, Baosong Yang, Wenqiang Lei, Xiangnan He, Derek F. Wong, Jun Xie
Alibaba-Translate China's Submission for WMT 2022 Quality Estimation Shared Task. CoRR (2022)
Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. CoRR (2022)
Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek F. Wong, Lidia S. Chao
UniTE: Unified Translation Evaluation. CoRR (2022)
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)
Mingzhou Xu, Baosong Yang, Derek F. Wong, Lidia S. Chao
Multi-view self-attention networks. Knowl. Based Syst. 241 (2022)
Chongman Leong, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Exploiting Translation Model for Parallel Corpus Mining. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Variance-Aware Machine Translation Test Sets. CoRR (2021)
Mingzhou Xu, Liangyou Li, Derek F. Wong, Qun Liu, Lidia S. Chao
Document Graph for Neural Machine Translation. EMNLP (1) (2021)
Xuefeng Bai, Yafu Li, Zhirui Zhang, Mingzhou Xu, Boxing Chen, Weihua Luo, Derek F. Wong, Yue Zhang
Sentence-State LSTMs For Sequence-to-Sequence Learning. NLPCC (1) (2021)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Understanding and Improving Lexical Choice in Non-Autoregressive Translation. ICLR (2021)
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 (2021)
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. AAAI (2021)
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)
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)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Progressive Multi-Granularity Training for Non-Autoregressive Translation. CoRR (2021)
Yang Zhang, Dong Wang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu, Derek F. Wong
User Retention: A Causal Approach with Triple Task Modeling. IJCAI (2021)
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation. CoRR (2021)
Yu Wan, Dayiheng Liu, Baosong Yang, Tianchi Bi, Haibo Zhang, Boxing Chen, Weihua Luo, Derek F. Wong, Lidia S. Chao
RoBLEURT Submission for WMT2021 Metrics Task. WMT@EMNLP (2021)
Baosong Yang, Longyue Wang, Derek F. Wong, Shuming Shi, Zhaopeng Tu
Context-aware Self-Attention Networks for Natural Language Processing. Neurocomputing 458 (2021)
Yujia Huo, Derek F. Wong, Lionel M. Ni, Lidia S. Chao, Jing Zhang, Xin Zuo
Learning cognitive embedding using signed knowledge interaction graph. Knowl. Based Syst. 229 (2021)
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Variance-Aware Machine Translation Test Sets. NeurIPS Datasets and Benchmarks (2021)
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 (2021)
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Difficulty-Aware Machine Translation Evaluation. ACL/IJCNLP (2) (2021)
Runzhe Zhan, Xuebo Liu, Derek F. Wong, Lidia S. Chao
Difficulty-Aware Machine Translation Evaluation. CoRR (2021)
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 (2021)
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)
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)
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)
Mingzhou Xu, Liangyou Li, Derek F. Wong, Qun Liu, Lidia S. Chao
Document Graph for Neural Machine Translation. CoRR (2020)
Yujia Huo, Derek F. Wong, Lionel M. Ni, Lidia S. Chao, Jing Zhang
HeTROPY: Explainable learning diagnostics via heterogeneous maximum-entropy and multi-spatial knowledge representation. Knowl. Based Syst. 207 (2020)
Bowen Wu, Mengyuan Li, Zongsheng Wang, Yifu Chen, Derek F. Wong, Qihang Feng, Junhong Huang, Baoxun Wang
Guiding Variational Response Generator to Exploit Persona. ACL (2020)
Yu Wan, Baosong Yang, Derek F. Wong, Yikai Zhou, Lidia S. Chao, Haibo Zhang, Boxing Chen
Self-Paced Learning for Neural Machine Translation. EMNLP (1) (2020)
Baosong Yang, Derek F. Wong, Lidia S. Chao, Min Zhang
Improving tree-based neural machine translation with dynamic lexicalized dependency encoding. Knowl. Based Syst. 188 (2020)
Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu
Modeling Voting for System Combination in Machine Translation. CoRR (2020)
Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao
Norm-Based Curriculum Learning for Neural Machine Translation. CoRR (2020)
Yujia Huo, Derek F. Wong, Lionel M. Ni, Lidia S. Chao, Jing Zhang
Knowledge modeling via contextualized representations for LSTM-based personalized exercise recommendation. Inf. Sci. 523 (2020)
Yu Wan, Baosong Yang, Derek F. Wong, Yikai Zhou, Lidia S. Chao, Haibo Zhang, Boxing Chen
Self-Paced Learning for Neural Machine Translation. CoRR (2020)
Yu Wan, Baosong Yang, Derek F. Wong, Lidia S. Chao, Haihua Du, Ben C. H. Ao
Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling. AAAI (2020)
Yikai Zhou, Baosong Yang, Derek F. Wong, Yu Wan, Lidia S. Chao
Uncertainty-Aware Curriculum Learning for Neural Machine Translation. ACL (2020)
Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
Understanding and Improving Lexical Choice in Non-Autoregressive Translation. CoRR (2020)
Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao
Norm-Based Curriculum Learning for Neural Machine Translation. ACL (2020)
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 (2020)
Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu
Modeling Voting for System Combination in Machine Translation. IJCAI (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Derek F. Wong