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Liang Ding

92 papers · 2019–2026 · 13 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (21) 🌍 Conference Polyglot (13)
🌍 Conference Polyglot (13) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (12) 🏠 Conference Loyalist (34) πŸ† Keyword Champion (2) 🀝 Dynamic Duo (63) πŸ† Grand Slam πŸ”¬ Deep Specialist (23) 🧬 Topic Evolution πŸ’Ž Century Club (89) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (7) ⚑ Prolific Year (10) πŸ—ƒοΈ Keyword Collector (326)

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) WACV (1)

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 LLMs’ 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 Doesn’t 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 Sydney’s Machine Translation System for WMT19 ACL 2019