Derek F. Wong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
102
Venues
17
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
102 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | From Scenes to Elements: Multi-Granularity Evidence Retrieval for Verifiable Multimodal RAG. | Guanhua Chen, Chuyue Huang, Yutong Yao, Shudong Liu, Xueqing Song, Lidia S. Chao, Derek F. Wong |
| 2026 | ACL | Chain-of-Procedure: Hierarchical Visual-Language Reasoning for Procedural QA. | Guanhua Chen, Yutong Yao, Shenghe Sun, Ci-Jun Gao, Shudong Liu, Lidia S. Chao, Feng Wan, Derek F. Wong |
| 2026 | ACL | EmoS: A High-Fidelity Multimodal Benchmark for Fine-grained Streaming Emotional Understanding. | Pengze Guo, Jingxi Liang, Zhiwen Xie, Qifeng Wang, Derek F. Wong |
| 2026 | ACL | Who Wrote This Line? Evaluating the Detection of LLM-Generated Classical Chinese Poetry. | Jiang Li, Tian Lan, Shanshan Wang, Zdongxing, Dianqing Lin, Guanglai Gao, Derek F. Wong, Xiangdong Su |
| 2026 | ACL | ToolRM: Towards Agentic Tool-Use Reward Modeling. | Renhao Li, Jianhong Tu, Yang Su, Yantao Liu, Fei Huang, Hamid Alinejad-Rokny, Derek F. Wong, Junyang Lin, Min Yang |
| 2026 | ACL | VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning. | Jingkun Ma, Runzhe Zhan, Yang Li, Di Sun, Hou Pong Chan, Lidia S. Chao, Derek F. Wong |
| 2026 | ACL | Poller: Are LLMs Suitable for Evaluating Poetry Understanding Task? | Shanshan Wang, Derek F. Wong, Jingming Yao, Lidia S. Chao |
| 2026 | ACL | DetectRL-X: Towards Reliable Multilingual and Real-World LLM-Generated Text Detection. | Junchao Wu, Yefeng Liu, Chenyu Zhu, Hao Zhang, Zeyu Wu, Tianqi Shi, Yichao Du, Longyue Wang, Weihua Luo, Jinsong Su, Derek F. Wong |
| 2026 | ACL | MAKI: Multi-layer Aligned Knowledge Injection for Structure-aware Knowledge Graph Completion with Large Language Models. | Zhiwen Xie, Xin Wang, Guangyou Zhou, Derek F. Wong |
| 2026 | ACL | G-IdiomAlign: A Gloss-Pivoted Benchmark for Cross-Lingual Idiom Alignment. | Fengying Ye, Yanming Sun, Runzhe Zhan, Lidia S. Chao, Zheqi Zhang, Derek F. Wong |
| 2026 | ACL | Probing Semantic Alignment, Lexical Invariance, and Syntactic Influence in LLM Metaphor Processing. | Fengying Ye, Shanshan Wang, Lidia S. Chao, Derek F. Wong |
| 2026 | ACL | Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models. | Jiayi Zhang, Shu Yang, Junchao Wu, Derek F. Wong, Di Wang |
| 2026 | CHI | AHAlogy: Agent-Supported In-Class Analogical Learning for Primary School Students' Divergent Thinking. | Lu Liu, Wenjia Tan, Yi Zhao, Jianhui Pang, Derek F. Wong |
| 2026 | EACL | Can ChatGPT Really Understand Modern Chinese Poetry? | Shanshan Wang, Derek F. Wong, Jingming Yao, Lidia S. Chao |
| 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 | Rethinking Prompt-based Debiasing in Large Language Model. | Xinyi Yang, Runzhe Zhan, Shu Yang, Junchao Wu, Lidia S. Chao, Derek F. Wong |
| 2025 | ACL | Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements. | Shu Yang, Shenzhe Zhu, Zeyu Wu, Keyu Wang, Junchi Yao, Junchao Wu, Lijie Hu, Mengdi Li, Derek F. Wong, Di Wang |
| 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 | COLING | Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model. | Haoyun Xu, Runzhe Zhan, Yingpeng Ma, Derek F. Wong, Lidia S. Chao |
| 2025 | COLING | CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations. | Jiahao Zhao, Jingwei Zhu, Minghuan Tan, Min Yang, Renhao Li, Yang Di, Chenhao Zhang, Guancheng Ye, Chengming Li, Xiping Hu, Derek F. Wong |
| 2025 | EMNLP | Path Drift in Large Reasoning Models: How First-Person Commitments Override Safety. | Yuyi Huang, Runzhe Zhan, Lidia S. Chao, Ailin Tao, Derek F. Wong |
| 2025 | EMNLP | CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward. | Shudong Liu, Hongwei Liu, Junnan Liu, Linchen Xiao, Songyang Gao, Chengqi Lyu, Yuzhe Gu, Wenwei Zhang, Derek F. Wong, Songyang Zhang, Kai Chen |
| 2025 | EMNLP | Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation. | Tong Li, Shu Yang, Junchao Wu, Jiyao Wei, Lijie Hu, Mengdi Li, Derek F. Wong, Joshua R. Oltmanns, Di Wang |
| 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 | Exploring the Impact of Personality Traits on LLM Bias and Toxicity. | Shuo Wang, Renhao Li, Xi Chen, Yulin Yuan, Min Yang, Derek F. Wong |
| 2025 | EMNLP | Evaluation of Text-to-Image Generation from a Creativity Perspective. | Xinhao Wang, Xinyu Ma, Shengyong Ding, Derek F. Wong |
| 2025 | EMNLP | Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry. | Shanshan Wang, Junchao Wu, Fengying Ye, Derek F. Wong, Jingming Yao, Lidia S. Chao |
| 2025 | EMNLP | Spec-VLA: Speculative Decoding for Vision-Language-Action Models with Relaxed Acceptance. | Songsheng Wang, Rucheng Yu, Zhihang Yuan, Chao Yu, Feng Gao, Yu Wang, Derek F. Wong |
| 2025 | EMNLP | HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation. | Shijie Zhang, Renhao Li, Songsheng Wang, Philipp Koehn, Min Yang, Derek F. Wong |
| 2025 | ICLR | Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation. | Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Rui Wang |
| 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 |
| 2025 | ICLR | Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist. | Zihao Zhou, Shudong Liu, Maizhen Ning, Wei Liu, Jindong Wang, Derek F. Wong, Xiaowei Huang, Qiufeng Wang, Kaizhu Huang |
| 2025 | IJCNN | Alleviating Directional Bias in Non-Autoregressive Transformers. | Songsheng Wang, Yu Wan, Derek F. Wong, Shijie Zhang, Yuchu Lin, Lidia S. Chao |
| 2025 | IJCNN | Bidirectional Multitask Learning for Non-Autoregressive Machine Translation. | Songsheng Wang, Shijie Zhang, Zhihang Yuan, Dongkun Wang, Derek F. Wong |
| 2025 | NAACL | Intrinsic Model Weaknesses: How Priming Attacks Unveil Vulnerabilities in Large Language Models. | Yuyi Huang, Runzhe Zhan, Derek F. Wong, Lidia S. Chao, Ailin Tao |
| 2024 | ACL | FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models. | Kaixin Lan, Tao Fang, Derek F. Wong, Yabo Xu, Lidia S. Chao, Cecilia G. Zhao |
| 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 | Anchor-based Large Language Models. | Jianhui Pang, Fanghua Ye, Derek F. Wong, Xin He, Wanshun Chen, Longyue Wang |
| 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 | Benchmarking and Improving Long-Text Translation with Large Language Models. | Longyue Wang, Zefeng Du, Wenxiang Jiao, Chenyang Lyu, Jianhui Pang, Leyang Cui, Kaiqiang Song, Derek F. Wong, Shuming Shi, Zhaopeng Tu |
| 2024 | ACL | What is the Best Way for ChatGPT to Translate Poetry? | Shanshan Wang, Derek F. Wong, Jingming Yao, Lidia S. Chao |
| 2024 | ACL | Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model. | Runzhe Zhan, Xinyi Yang, Derek F. Wong, Lidia S. Chao, Yue Zhang |
| 2024 | COLING | A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU. | Guanhua Chen, Yutong Yao, Derek F. Wong, Lidia S. Chao |
| 2024 | COLING | A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models. | Chenyang Lyu, Zefeng Du, Jitao Xu, Yitao Duan, Minghao Wu, Teresa Lynn, Alham Fikri Aji, Derek F. Wong, Longyue Wang |
| 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 | MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation. | Jianhui Pang, Baosong Yang, Derek F. Wong, Dayiheng Liu, Xiangpeng Wei, Jun Xie, Lidia S. Chao |
| 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 | Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning. | Tianxiang Hu, Pei Zhang, Baosong Yang, Jun Xie, Derek F. Wong, Rui Wang |
| 2024 | EMNLP | CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation. | Renhao Li, Minghuan Tan, Derek F. Wong, Min Yang |
| 2024 | EMNLP | AnyTrans: Translate AnyText in the Image with Large Scale Models. | Zhipeng Qian, Pei Zhang, Baosong Yang, Kai Fan, Yiwei Ma, Derek F. Wong, Xiaoshuai Sun, Rongrong Ji |
| 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 | Improving Grammatical Error Correction with Multimodal Feature Integration. | Tao Fang, Jinpeng Hu, Derek F. Wong, Xiang Wan, Lidia S. Chao, Tsung-Hui Chang |
| 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 | Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. | Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao |
| 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 | EACL | Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System. | Jingkun Ma, Runzhe Zhan, Derek F. Wong |
| 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 | Interspeech | How Does Pretraining Improve Discourse-Aware Translation? | Zhihong Huang, Longyue Wang, Siyou Liu, Derek F. Wong |
| 2022 | ACL | UniTE: Unified Translation Evaluation. | Yu Wan, Dayiheng Liu, Baosong Yang, Haibo Zhang, Boxing Chen, Derek F. Wong, Lidia S. Chao |
| 2022 | ACL | Attention Mechanism with Energy-Friendly Operations. | Yu Wan, Baosong Yang, Dayiheng Liu, Rong Xiao, Derek F. Wong, Haibo Zhang, Boxing Chen, Lidia S. Chao |
| 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 | GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation. | Mingzhou Xu, Longyue Wang, Derek F. Wong, Hongye Liu, Linfeng Song, Lidia S. Chao, Shuming Shi, Zhaopeng Tu |
| 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 | EMNLP | Document Graph for Neural Machine Translation. | Mingzhou Xu, Liangyou Li, Derek F. Wong, Qun Liu, Lidia S. Chao |
| 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 |
| 2021 | IJCAI | User Retention: A Causal Approach with Triple Task Modeling. | Yang Zhang, Dong Wang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu, Derek F. Wong |
| 2020 | AAAI | Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling. | Yu Wan, Baosong Yang, Derek F. Wong, Lidia S. Chao, Haihua Du, Ben C. H. Ao |
| 2020 | ACL | Norm-Based Curriculum Learning for Neural Machine Translation. | Xuebo Liu, Houtim Lai, Derek F. Wong, Lidia S. Chao |
| 2020 | ACL | Guiding Variational Response Generator to Exploit Persona. | Bowen Wu, Mengyuan Li, Zongsheng Wang, Yifu Chen, Derek F. Wong, Qihang Feng, Junhong Huang, Baoxun Wang |
| 2020 | ACL | Uncertainty-Aware Curriculum Learning for Neural Machine Translation. | Yikai Zhou, Baosong Yang, Derek F. Wong, Yu Wan, Lidia S. Chao |
| 2020 | EMNLP | Self-Paced Learning for Neural Machine Translation. | Yu Wan, Baosong Yang, Derek F. Wong, Yikai Zhou, Lidia S. Chao, Haibo Zhang, Boxing Chen |
| 2020 | IJCAI | Modeling Voting for System Combination in Machine Translation. | Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu |
| 2019 | AAAI | Context-Aware Self-Attention Networks. | Baosong Yang, Jian Li, Derek F. Wong, Lidia S. Chao, Xing Wang, Zhaopeng Tu |
| 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 | ACL | Learning Deep Transformer Models for Machine Translation. | Qiang Wang, Bei Li, Tong Xiao, Jingbo Zhu, Changliang Li, Derek F. Wong, Lidia S. Chao |
| 2019 | ACL | Leveraging Local and Global Patterns for Self-Attention Networks. | Mingzhou Xu, Derek F. Wong, Baosong Yang, Yue Zhang, Lidia S. Chao |
| 2019 | ACL | Assessing the Ability of Self-Attention Networks to Learn Word Order. | Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu |
| 2019 | NAACL | Convolutional Self-Attention Networks. | Baosong Yang, Longyue Wang, Derek F. Wong, Lidia S. Chao, Zhaopeng Tu |
| 2018 | EMNLP | Modeling Localness for Self-Attention Networks. | Baosong Yang, Zhaopeng Tu, Derek F. Wong, Fandong Meng, Lidia S. Chao, Tong Zhang |
| 2018 | LREC | UM-pAligner: Neural Network-Based Parallel Sentence Identification Model. | Chongman Leong, Derek F. Wong, Lidia S. Chao |
| 2017 | EMNLP | Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation. | Baosong Yang, Derek F. Wong, Tong Xiao, Lidia S. Chao, Jingbo Zhu |
| 2014 | ACL | Toward Better Chinese Word Segmentation for SMT via Bilingual Constraints. | Xiaodong Zeng, Lidia S. Chao, Derek F. Wong, Isabel Trancoso, Liang Tian |
| 2014 | CoNLL | Factored Statistical Machine Translation for Grammatical Error Correction. | Yiming Wang, Longyue Wang, Xiaodong Zeng, Derek F. Wong, Lidia S. Chao, Yi Lu |
| 2014 | LREC | UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine Translation. | Liang Tian, Derek F. Wong, Lidia S. Chao, Paulo Quaresma, Francisco Oliveira, Lu Yi |
| 2013 | ACL | Graph-based Semi-Supervised Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging. | Xiaodong Zeng, Derek F. Wong, Lidia S. Chao, Isabel Trancoso |
| 2013 | ACL | Co-regularizing character-based and word-based models for semi-supervised Chinese word segmentation. | Xiaodong Zeng, Derek F. Wong, Lidia S. Chao, Isabel Trancoso |
| 2013 | CoNLL | UM-Checker: A Hybrid System for English Grammatical Error Correction. | Junwen Xing, Longyue Wang, Derek F. Wong, Lidia S. Chao, Xiaodong Zeng |
| 2013 | IJCNLP | Influence of Part-of-Speech and Phrasal Category Universal Tag-set in Tree-to-Tree Translation Models. | Francisco Oliveira, Derek F. Wong, Lidia S. Chao, Liang Tian, Liangye He |
| 2013 | PACLIC | Augmented Parsing of Unknown Word by Graph-Based Semi-Supervised Learning. | Qiuping Huang, Derek F. Wong, Lidia S. Chao, Xiaodong Zeng, Liangye He |
| 2013 | RANLP | Edit Distance: A New Data Selection Criterion for Domain Adaptation in SMT. | Longyue Wang, Derek F. Wong, Lidia S. Chao, Junwen Xing, Yi Lu, Isabel Trancoso |
| 2012 | COLING | LEPOR: A Robust Evaluation Metric for Machine Translation with Augmented Factors. | Aaron L. F. Han, Derek F. Wong, Lidia S. Chao |
| 2012 | ICMLC | Korean-Chinese statistical translation model. | Shuo Li, Derek F. Wong, Lidia S. Chao |
| 2012 | ICMLC | A noun-phrase chunking model based on SBCB ensemble learning algorithm. | Ling Zhu, Lidia S. Chao, Derek F. Wong, Xiaodong Zeng |