Derek F. Wong
90 papers · 2012–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (12) π Academic Marathon (13) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (13)
π§
Keyword Pioneer
π
Cross-Pollinator
(13)
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Academic Marathon
(13)
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Conference Loyalist
(24)
π€
Dynamic Duo
(47)
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Deep Specialist
(34)
π§¬
Topic Evolution
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Keyword Champion
(2)
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The Questioner
(5)
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Trend Setter
ποΈ
Keyword Collector
(304)
β‘
Prolific Year
(13)
π₯
Unstoppable
(9)
π
Century Club
(81)
π
Conference Pioneer
Conferences
ACL (31)
EMNLP (24)
COLING (8)
ICLR (5)
IJCNLP (5)
AAAI (4)
NIPS (4)
CONLL (2)
EACL (2)
IJCAI (2)
NAACL (2)
INTERSPEECH (1)
Top co-authors
Keywords
large language model
(22)
neural machine translation
(19)
machine translation
(16)
transfer learning
(5)
neural network
(5)
benchmark evaluation
(5)
pretrained language model
(4)
uncertainty quantification
(4)
curriculum learning
(4)
self-attention network
(4)
machine translation evaluation
(3)
representation learning
(3)
grammatical error correction
(3)
knowledge distillation
(3)
uncertainty estimation
(3)
low-resource language
(3)
evaluation framework
(3)
adversarial attack
(3)
quality estimation
(2)
multimodal learning
(2)
Papers
Probing Semantic Alignment, Lexical Invariance, and Syntactic Influence in LLM Metaphor Processing
ACL 2026
Who Wrote This Line? Evaluating the Detection of LLM-Generated Classical Chinese Poetry
ACL 2026
Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation
AAAI 2026
Can ChatGPT Really Understand Modern Chinese Poetry?
EACL 2026
Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language Models
ACL 2026
VisAidMath: Benchmarking Visual-Aided Mathematical Reasoning
ACL 2026
DetectRL-X: Towards Reliable Multilingual and Real-World LLM-Generated Text Detection
ACL 2026
G-IdiomAlign: A Gloss-Pivoted Benchmark for Cross-Lingual Idiom Alignment
ACL 2026
EmoS: A High-Fidelity Multimodal Benchmark for Fine-grained Streaming Emotional Understanding
ACL 2026
Rethinking Prompt-based Debiasing in Large Language Model
ACL 2025
Spec-VLA: Speculative Decoding for Vision-Language-Action Models with Relaxed Acceptance
EMNLP 2025
Path Drift in Large Reasoning Models: How First-Person Commitments Override Safety
EMNLP 2025
Exploring the Impact of Personality Traits on LLM Bias and Toxicity
EMNLP 2025
Intrinsic Model Weaknesses: How Priming Attacks Unveil Vulnerabilities in Large Language Models
NAACL 2025
Is Your Model Really A Good Math Reasoner? Evaluating Mathematical Reasoning with Checklist
ICLR 2025
DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory
ICLR 2025
Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation
EMNLP 2025
HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation
EMNLP 2025
Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry
EMNLP 2025
SGIC: A Self-Guided Iterative Calibration Framework for RAG
ACL 2025
Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements
ACL 2025
CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task
EMNLP 2025
Letβs Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model
COLING 2025
Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore
COLING 2025
CPsyExam: A Chinese Benchmark for Evaluating Psychology using Examinations
COLING 2025
Evaluation of Text-to-Image Generation from a Creativity Perspective
EMNLP 2025
CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
EMNLP 2025
Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation
ICLR 2025
Benchmarking LLMs via Uncertainty Quantification
NIPS 2024
Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning
EMNLP 2024
A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models
COLING 2024
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU
COLING 2024
NovelTrans: System for WMT24 Discourse-Level Literary Translation
EMNLP 2024
MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation
COLING 2024
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset
COLING 2024
Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning
NIPS 2024
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
NIPS 2024
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios
NIPS 2024
CoEvol: Constructing Better Responses for Instruction Finetuning through Multi-Agent Cooperation
EMNLP 2024
Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner
EMNLP 2024
AnyTrans: Translate AnyText in the Image with Large Scale Models
EMNLP 2024
How Does Pretraining Improve Discourse-Aware Translation?
INTERSPEECH 2023
Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization
ACL 2023
kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation
ACL 2023
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis
ACL 2023
TemplateGEC: Improving Grammatical Error Correction with Detection Template
ACL 2023
Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge
ACL 2023
TransGEC: Improving Grammatical Error Correction with Translationese
ACL 2023
Improving Grammatical Error Correction with Multimodal Feature Integration
ACL 2023
Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System
EACL 2023
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation
EMNLP 2022
Alibaba-Translate Chinaβs Submission for WMT 2022 Quality Estimation Shared Task
EMNLP 2022
Alibaba-Translate Chinaβs Submission for WMT2022 Metrics Shared Task
EMNLP 2022
GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation
EMNLP 2022
Document Graph for Neural Machine Translation
EMNLP 2021
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
AAAI 2021
On the Copying Behaviors of Pre-Training for Neural Machine Translation
IJCNLP 2021
Progressive Multi-Granularity Training for Non-Autoregressive Translation
IJCNLP 2021
Difficulty-Aware Machine Translation Evaluation
IJCNLP 2021
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation
IJCNLP 2021
On the Copying Behaviors of Pre-Training for Neural Machine Translation
ACL 2021
Progressive Multi-Granularity Training for Non-Autoregressive Translation
ACL 2021
Difficulty-Aware Machine Translation Evaluation
ACL 2021
Understanding and Improving Lexical Choice in Non-Autoregressive Translation
ICLR 2021
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning
ICLR 2021
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation
ACL 2021
User Retention: A Causal Approach with Triple Task Modeling
IJCAI 2021
RoBLEURT Submission for WMT2021 Metrics Task
EMNLP 2021
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation
EMNLP 2021
Norm-Based Curriculum Learning for Neural Machine Translation
ACL 2020
Self-Paced Learning for Neural Machine Translation
EMNLP 2020
Uncertainty-Aware Curriculum Learning for Neural Machine Translation
ACL 2020
Modeling Voting for System Combination in Machine Translation
IJCAI 2020
Guiding Variational Response Generator to Exploit Persona
ACL 2020
Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling
AAAI 2020
Leveraging Local and Global Patterns for Self-Attention Networks
ACL 2019
Shared-Private Bilingual Word Embeddings for Neural Machine Translation
ACL 2019
Learning Deep Transformer Models for Machine Translation
ACL 2019
Context-Aware Self-Attention Networks
AAAI 2019
Convolutional Self-Attention Networks
NAACL 2019
Assessing the Ability of Self-Attention Networks to Learn Word Order
ACL 2019
Modeling Localness for Self-Attention Networks
EMNLP 2018
Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation
EMNLP 2017
Toward Better Chinese Word Segmentation for SMT via Bilingual Constraints
ACL 2014
Factored Statistical Machine Translation for Grammatical Error Correction
CONLL 2014
UM-Checker: A Hybrid System for English Grammatical Error Correction
CONLL 2013
Co-regularizing character-based and word-based models for semi-supervised Chinese word segmentation
ACL 2013
Graph-based Semi-Supervised Model for Joint Chinese Word Segmentation and Part-of-Speech Tagging
ACL 2013
Influence of Part-of-Speech and Phrasal Category Universal Tag-set in Tree-to-Tree Translation Models
IJCNLP 2013
LEPOR: A Robust Evaluation Metric for Machine Translation with Augmented Factors
COLING 2012