← Authors

Lidia S. Chao

49 papers · 2012–2026 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (13) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (81) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (9) 🀝 Dynamic Duo (47) πŸ”¬ Deep Specialist (24) 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (191) πŸ“ˆ Trend Setter ❓ The Questioner (2) ⚑ Prolific Year (7) πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (47)

Conferences

ACL (17) EMNLP (12) COLING (6) AAAI (4) IJCNLP (3) CONLL (2) NAACL (2) EACL (1) ICLR (1) NIPS (1)

Top co-authors

Derek F. Wong (49) Xuebo Liu (18) Runzhe Zhan (13) Baosong Yang (12) Zhaopeng Tu (9) Longyue Wang (9) Min Zhang (7) Liang Ding (6) Xiaodong Zeng (5) Yu Wan (5)

Keywords

neural machine translation (15) machine translation (8) large language model (6) self-attention network (4) transfer learning (4) curriculum learning (4) neural network (4) low-resource language (3) representation learning (3) machine translation evaluation (3) uncertainty quantification (3) benchmark evaluation (2) evaluation metric (2) text classification (2) context modeling (2) adversarial attack (2) retrieval-augmented generation (2) neural network optimization (2) ai safety (2) grammatical error correction (2)

Papers

Can ChatGPT Really Understand Modern Chinese Poetry? EACL 2026
Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation AAAI 2026
Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry EMNLP 2025
Path Drift in Large Reasoning Models: How First-Person Commitments Override Safety EMNLP 2025
SGIC: A Self-Guided Iterative Calibration Framework for RAG ACL 2025
Intrinsic Model Weaknesses: How Priming Attacks Unveil Vulnerabilities in Large Language Models NAACL 2025
Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore COLING 2025
Let’s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model COLING 2025
Rethinking Prompt-based Debiasing in Large Language Model ACL 2025
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset COLING 2024
MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation COLING 2024
Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner EMNLP 2024
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios NIPS 2024
A Two-Stage Prediction-Aware Contrastive Learning Framework for Multi-Intent NLU COLING 2024
TransGEC: Improving Grammatical Error Correction with Translationese ACL 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
Improving Grammatical Error Correction with Multimodal Feature Integration ACL 2023
GuoFeng: A Benchmark for Zero Pronoun Recovery and Translation EMNLP 2022
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation EMNLP 2022
Alibaba-Translate China’s Submission for WMT2022 Metrics Shared Task EMNLP 2022
RoBLEURT Submission for WMT2021 Metrics Task EMNLP 2021
Difficulty-Aware Machine Translation Evaluation ACL 2021
Document Graph for Neural Machine Translation EMNLP 2021
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation EMNLP 2021
On the Copying Behaviors of Pre-Training for Neural Machine Translation ACL 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
Difficulty-Aware Machine Translation Evaluation IJCNLP 2021
Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning ICLR 2021
Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling AAAI 2020
Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL 2020
Norm-Based Curriculum Learning for Neural Machine Translation ACL 2020
Self-Paced Learning for Neural Machine Translation EMNLP 2020
Convolutional Self-Attention Networks NAACL 2019
Assessing the Ability of Self-Attention Networks to Learn Word Order ACL 2019
Learning Deep Transformer Models for Machine Translation ACL 2019
Context-Aware Self-Attention Networks AAAI 2019
Shared-Private Bilingual Word Embeddings for Neural Machine Translation ACL 2019
Leveraging Local and Global Patterns for Self-Attention Networks ACL 2019
Modeling Localness for Self-Attention Networks EMNLP 2018
Towards Bidirectional Hierarchical Representations for Attention-based Neural Machine Translation EMNLP 2017
Factored Statistical Machine Translation for Grammatical Error Correction CONLL 2014
Toward Better Chinese Word Segmentation for SMT via Bilingual Constraints ACL 2014
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
UM-Checker: A Hybrid System for English Grammatical Error Correction CONLL 2013
LEPOR: A Robust Evaluation Metric for Machine Translation with Augmented Factors COLING 2012