Liang Ding
92 papers · 2019–2026 · 13 conferences · across top CS/AI conferences
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Conferences
ACL (36)
EMNLP (23)
COLING (8)
AAAI (5)
IJCNLP (5)
ICML (4)
ICLR (3)
CVPR (2)
JMLR (2)
IJCAI (1)
NAACL (1)
NIPS (1)
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Top co-authors
Keywords
large language model
(22)
machine translation
(14)
neural machine translation
(10)
knowledge distillation
(10)
model compression
(7)
contrastive learning
(6)
data augmentation
(6)
non-autoregressive translation
(6)
label smoothing
(5)
back translation
(5)
parameter efficiency
(4)
instruction tuning
(4)
language model
(4)
mixture of expert
(3)
in-context learning
(3)
model generalization
(3)
unsupervised learning
(3)
zero-shot learning
(3)
curriculum learning
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multimodal learning
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Papers
REVEALER: Reinforcement-Guided Visual Reasoning for Element-Level Text-Image Alignment Evaluation
ACL 2026
The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check
ACL 2026
Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model
AAAI 2026
AMIA: Automatic Masking and Joint Intention Analysis Makes LVLMs Robust Jailbreak Defenders
EMNLP 2025
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models
AAAI 2025
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning
AAAI 2025
VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search
ACL 2025
AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
ACL 2025
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding
ACL 2025
Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs
ACL 2025
KaFT: Knowledge-aware Fine-tuning for Boosting LLMsβ Domain-specific Question-Answering Performance
ACL 2025
CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models
ACL 2025
Intention Analysis Makes LLMs A Good Jailbreak Defender
COLING 2025
MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators
COLING 2025
Self-Evolution Knowledge Distillation for LLM-based Machine Translation
COLING 2025
Chinese Toxic Language Mitigation via Sentiment Polarity Consistent Rewrites
EMNLP 2025
DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs
EMNLP 2025
AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration
EMNLP 2025
Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA
EMNLP 2025
Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments
EMNLP 2025
The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking
ICML 2025
Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
ICML 2025
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset
COLING 2024
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction
COLING 2024
Self-Powered LLM Modality Expansion for Large Speech-Text Models
EMNLP 2024
Sheared Backpropagation for Fine-tuning Foundation Models
CVPR 2024
Revisiting Knowledge Distillation for Autoregressive Language Models
ACL 2024
Uncertainty Aware Learning for Language Model Alignment
ACL 2024
DB-LLM: Accurate Dual-Binarization for Efficient LLMs
ACL 2024
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models
ACL 2024
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models
ACL 2024
ROSE Doesnβt Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding
ACL 2024
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
ACL 2024
Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation
ACL 2024
Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models
AAAI 2024
Revisiting Demonstration Selection Strategies in In-Context Learning
ACL 2024
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation
ACL 2024
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
NIPS 2024
Random Smoothing Regularization in Kernel Gradient Descent Learning
JMLR 2024
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL
EMNLP 2024
Revisiting Catastrophic Forgetting in Large Language Model Tuning
EMNLP 2024
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models
EMNLP 2024
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training
ACL 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape
ICML 2023
Improving Simultaneous Machine Translation with Monolingual Data
AAAI 2023
Gapformer: Graph Transformer with Graph Pooling for Node Classification
IJCAI 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks
EMNLP 2023
PromptST: Abstract Prompt Learning for End-to-End Speech Translation
EMNLP 2023
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models
EMNLP 2023
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts
EMNLP 2023
Towards Making the Most of ChatGPT for Machine Translation
EMNLP 2023
SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution
WACV 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
ICLR 2023
CASN:Class-Aware Score Network for Textual Adversarial Detection
ACL 2023
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking
ACL 2023
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis
ACL 2023
Revisiting Token Dropping Strategy in Efficient BERT Pretraining
ACL 2023
PAD-Net: An Efficient Framework for Dynamic Networks
ACL 2023
Token-Level Self-Evolution Training for Sequence-to-Sequence Learning
ACL 2023
TransGEC: Improving Grammatical Error Correction with Translationese
ACL 2023
Self-Evolution Learning for Discriminative Language Model Pretraining
ACL 2023
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models
EMNLP 2022
Vega-MT: The JD Explore Academy Machine Translation System for WMT22
EMNLP 2022
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with MatΓ©rn Correlations
JMLR 2022
MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning
ACL 2022
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters
EMNLP 2022
Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning
CVPR 2022
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis
COLING 2022
Interpretable Proof Generation via Iterative Backward Reasoning
NAACL 2022
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation
COLING 2022
Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation
ACL 2022
Self-Guided Curriculum Learning for Neural Machine Translation
ACL 2021
On the Copying Behaviors of Pre-Training for Neural Machine Translation
IJCNLP 2021
Progressive Multi-Granularity Training for Non-Autoregressive Translation
IJCNLP 2021
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation
IJCNLP 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
Self-Guided Curriculum Learning for Neural Machine Translation
IJCNLP 2021
The USYD-JD Speech Translation System for IWSLT2021
IJCNLP 2021
Improving Neural Machine Translation by Bidirectional Training
EMNLP 2021
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation
EMNLP 2021
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation
ACL 2021
Progressive Multi-Granularity Training for Non-Autoregressive Translation
ACL 2021
On the Copying Behaviors of Pre-Training for Neural Machine Translation
ACL 2021
The USYD-JD Speech Translation System for IWSLT2021
ACL 2021
Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task
EMNLP 2020
Generalization Guarantees for Sparse Kernel Approximation with Entropic Optimal Features
ICML 2020
SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling
EMNLP 2020
Self-Attention with Cross-Lingual Position Representation
ACL 2020
Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns
EMNLP 2020
Context-Aware Cross-Attention for Non-Autoregressive Translation
COLING 2020
The University of Sydneyβs Machine Translation System for WMT19
ACL 2019