Liang Ding - RankMe

235 papers A* 26A 4B 7Misc 1Journal 150Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Achieving >97% on GSM8K: deeply understanding the problems makes LLMs better solvers for math word problems. Frontiers Comput. Sci. Qihuang Zhong, Kang Wang, Ziyang Xu, Liang Ding, Juhua Liu, Bo Du
2026	J	`jnl`	AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning. CoRR Yutong Wang, Siyuan Xiong, Xuebo Liu, Wenkang Zhou, Liang Ding, Miao Zhang, Min Zhang
2026	J	`jnl`	Exploring and enhancing the transfer of distribution in knowledge distillation for autoregressive language models. Knowl. Based Syst. Jun Rao, Xuebo Liu, ZePeng Lin, Liang Ding, Jing Li, Min Zhang
2026	A*	`conf`	Rethinking the Hidden Risk of Reranking: Achieving Risk-aware Reranking with Information Gain for RAG with LLMs. WWW Zhizhao Liu, Zhihua Wen, Zhiliang Tian, Zhen Huang, Miaorong Zhu, Zimian Wei, Yifu Gao, Liang Ding, Dongsheng Li
2026	J	`jnl`	The Bitter Lesson of Diffusion Language Models for Agentic Workflows: A Comprehensive Reality Check. CoRR Qingyu Lu, Liang Ding, Kanjian Zhang, Jinxia Zhang, Dacheng Tao
2026	J	`jnl`	Think Dense, Not Long: Dynamic Decoupled Conditional Advantage for Efficient Reasoning. CoRR Keqin Peng, Yuanxin Ouyang, Xuebo Liu, Zhiliang Tian, Ruijian Han, Yancheng Yuan, Liang Ding
2026	A*	`conf`	Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model. AAAI Rong Bao, Bo Wang, Xiao Wang, Hongyu Li, Rui Zheng, Leszek Rutkowski, Qi Zhang, Liang Ding, Dacheng Tao
2026	J	`jnl`	Towards alleviating hallucination in text-to-image retrieval for CLIP in zero-shot learning. Neurocomputing Hanyao Wang, Yibing Zhan, Liu Liu, Liang Ding, Yan Yang, Jun Yu
2025	J	`jnl`	A Multi-Language Object-Oriented Programming Benchmark for Large Language Models. CoRR Shuai Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Lefei Zhang, Fu Lin
2025	—	`conf`	AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration. ACL (1) Zhexuan Wang, Yutong Wang, Xuebo Liu, Liang Ding, Miao Zhang, Jie Liu, Min Zhang
2025	J	`jnl`	AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration. CoRR Zhexuan Wang, Yutong Wang, Xuebo Liu, Liang Ding, Miao Zhang, Jie Liu, Min Zhang
2025	—	`conf`	AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration. EMNLP (Findings) Chunhao Tian, Yutong Wang, Xuebo Liu, Zhexuan Wang, Liang Ding, Miao Zhang, Min Zhang
2025	J	`jnl`	AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration. CoRR Chunhao Tian, Yutong Wang, Xuebo Liu, Zhexuan Wang, Liang Ding, Miao Zhang, Min Zhang
2025	J	`jnl`	Benchmarking Medical LLMs on Anesthesiology: A Comprehensive Dataset in Chinese. IEEE Trans. Emerg. Top. Comput. Intell. Bohao Zhou, Yibing Zhan, Zhonghai Wang, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin, Weifeng Liu, Xiongbin Wang, Dapeng Tao
2025	J	`jnl`	Building accurate translation-tailored large language models with language-aware instruction tuning. Frontiers Inf. Technol. Electron. Eng. Changtong Zan, Liang Ding, Li Shen, Yibing Zhan, Xinghao Yang, Weifeng Liu
2025	A*	`conf`	Chinese Toxic Language Mitigation via Sentiment Polarity Consistent Rewrites. EMNLP Xintong Wang, Yixiao Liu, Jingheng Pan, Liang Ding, Longyue Wang, Chris Biemann
2025	J	`jnl`	Chinese Toxic Language Mitigation via Sentiment Polarity Consistent Rewrites. CoRR Xintong Wang, Yixiao Liu, Jingheng Pan, Liang Ding, Longyue Wang, Chris Biemann
2025	J	`jnl`	Code-switching finetuning: Bridging multilingual pretrained language models for enhanced cross-lingual performance. Eng. Appl. Artif. Intell. Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu
2025	—	`conf`	CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models. ACL (Findings) Xintong Wang, Jingheng Pan, Liang Ding, Longyue Wang, Longqin Jiang, Xingshan Li, Chris Biemann
2025	A*	`conf`	Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. AAAI Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Wei Yu, Dacheng Tao
2025	—	`conf`	DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs. EMNLP (Findings) Xiabin Zhou, Wenbin Wang, Minyan Zeng, Jiaxian Guo, Xuebo Liu, Li Shen, Min Zhang, Liang Ding
2025	—	`conf`	Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs. ACL (Findings) Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao
2025	J	`jnl`	Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs. CoRR Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao
2025	—	`conf`	Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding. ACL (2) Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Yancheng Yuan, Dacheng Tao
2025	J	`jnl`	Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding. CoRR Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Yancheng Yuan, Dacheng Tao
2025	J	`jnl`	Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation. CoRR Shizhan Cai, Liang Ding, Dacheng Tao
2025	J	`jnl`	Explicit and Implicit Box Equivariance Learning for Weakly-Supervised Rotated Object Detection. IEEE Trans. Emerg. Top. Comput. Intell. Linfei Wang, Yibing Zhan, Xu Lin, Baosheng Yu, Liang Ding, Jianqing Zhu, Dapeng Tao
2025	J	`jnl`	Fine-Tuning LLMs for Anesthesiology via Compositional Data Generation. IEEE Trans. Emerg. Top. Comput. Intell. Yanhong Li, Yibing Zhan, Baosheng Yu, Zhonghai Wang, Chong Zhang, Da Zhu, Chengli Zhou, Bohao Zhou, Liang Ding, Weifeng Liu, Xiongbin Wang, Dapeng Tao
2025	J	`jnl`	Fuzzy-Assisted Contrastive Decoding Improving Code Generation of Large Language Models. IEEE Trans. Fuzzy Syst. Shuai Wang, Liang Ding, Yibing Zhan, Yong Luo, Shuai Liu, Weiping Ding
2025	J	`jnl`	Hypnos: A domain-specific large language model for anesthesiology. Neurocomputing Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Baosheng Yu, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu
2025	A*	`conf`	Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. AAAI Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao
2025	J	`jnl`	Information-Theoretic Reward Modeling for Stable RLHF: Detecting and Mitigating Reward Hacking. CoRR Yuchun Miao, Liang Ding, Sen Zhang, Rong Bao, Lefei Zhang, Dacheng Tao
2025	B	`conf`	Intention Analysis Makes LLMs A Good Jailbreak Defender. COLING Yuqi Zhang, Liang Ding, Lefei Zhang, Dacheng Tao
2025	—	`conf`	KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance. ACL (Findings) Qihuang Zhong, Liang Ding, Xiantao Cai, Juhua Liu, Bo Du, Dacheng Tao
2025	J	`jnl`	KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance. CoRR Qihuang Zhong, Liang Ding, Xiantao Cai, Juhua Liu, Bo Du, Dacheng Tao
2025	J	`jnl`	Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation. CoRR Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding
2025	J	`jnl`	Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs. CoRR Shuai Wang, Liang Ding, Yibing Zhan, Yong Luo, Zheng He, Dapeng Tao
2025	J	`jnl`	MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism. CoRR Zheng Zhang, Donglin Yang, Yaqi Xia, Liang Ding, Dacheng Tao, Xiaobo Zhou, Dazhao Cheng
2025	B	`conf`	MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators. COLING Qingyu Lu, Liang Ding, Kanjian Zhang, Jinxia Zhang, Dacheng Tao
2025	J	`jnl`	On Efficient Training of Large-Scale Deep Learning Models. ACM Comput. Surv. Li Shen, Yan Sun, Zhiyuan Yu, Liang Ding, Xinmei Tian, Dacheng Tao
2025	J	`jnl`	Reason-KE++: Aligning the Process, Not Just the Outcome, for Faithful LLM Knowledge Editing. CoRR Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao
2025	J	`jnl`	Recursively summarizing enables long-term dialogue memory in large language models. Neurocomputing Qingyue Wang, Yanhe Fu, Yanan Cao, Shuai Wang, Zhiliang Tian, Liang Ding
2025	J	`jnl`	Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning. CoRR Qihuang Zhong, Liang Ding, Fei Liao, Juhua Liu, Bo Du, Dacheng Tao
2025	J	`jnl`	Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG. CoRR Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao
2025	A*	`conf`	Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG. ICML Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao
2025	J	`jnl`	Revisiting Overthinking in Long Chain-of-Thought from the Perspective of Self-Doubt. CoRR Keqin Peng, Liang Ding, Yuanxin Ouyang, Meng Fang, Dacheng Tao
2025	—	`conf`	Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA. EMNLP (Findings) Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao
2025	J	`jnl`	Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA. CoRR Yuchen Wu, Liang Ding, Li Shen, Dacheng Tao
2025	—	`conf`	Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments. EMNLP (Findings) Qingyu Lu, Liang Ding, Siyi Cao, Xuebo Liu, Kanjian Zhang, Jinxia Zhang, Dacheng Tao
2025	J	`jnl`	Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments. CoRR Qingyu Lu, Liang Ding, Siyi Cao, Xuebo Liu, Kanjian Zhang, Jinxia Zhang, Dacheng Tao
2025	B	`conf`	Self-Evolution Knowledge Distillation for LLM-based Machine Translation. COLING Yuncheng Song, Liang Ding, Changtong Zan, Shujian Huang
2025	J	`jnl`	SpliceMix: A Cross-Scale and Semantic Blending Augmentation Strategy for Multi-Label Image Classification. IEEE Trans. Multim. Lei Wang, Yibing Zhan, Leilei Ma, Dapeng Tao, Liang Ding, Chen Gong
2025	J	`jnl`	TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs. CoRR Yan Sun, Tiansheng Huang, Liang Ding, Li Shen, Dacheng Tao
2025	A*	`conf`	The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking. ICML Yuchun Miao, Sen Zhang, Liang Ding, Yuqi Zhang, Lefei Zhang, Dacheng Tao
2025	J	`jnl`	The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking. CoRR Yuchun Miao, Sen Zhang, Liang Ding, Yuqi Zhang, Lefei Zhang, Dacheng Tao
2025	J	`jnl`	Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques. Trans. Mach. Learn. Res. Shwai He, Daize Dong, Liang Ding, Ang Li
2025	—	`conf`	VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search. ACL (1) Yikun Wang, Siyin Wang, Qinyuan Cheng, Zhaoye Fei, Liang Ding, Qipeng Guo, Dacheng Tao, Xipeng Qiu
2025	J	`jnl`	VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search. CoRR Yikun Wang, Siyin Wang, Qinyuan Cheng, Zhaoye Fei, Liang Ding, Qipeng Guo, Dacheng Tao, Xipeng Qiu
2025	J	`jnl`	Widening the bottleneck of lexical choice for non-autoregressive translation. Comput. Speech Lang. Liang Ding, Longyue Wang, Siyou Liu, Weihua Luo, Kaifu Zhang
2024	—	`conf`	3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. LREC/COLING Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
2024	J	`jnl`	3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. CoRR Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
2024	J	`jnl`	Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Reasoners. CoRR Qihuang Zhong, Kang Wang, Ziyang Xu, Juhua Liu, Liang Ding, Bo Du, Dacheng Tao
2024	J	`jnl`	AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. Neural Networks Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
2024	J	`jnl`	Aligning Large Language Models from Self-Reference AI Feedback with one General Principle. CoRR Rong Bao, Rui Zheng, Shihan Dou, Xiao Wang, Enyu Zhou, Bo Wang, Qi Zhang, Liang Ding, Dacheng Tao
2024	J	`jnl`	Balanced Similarity with Auxiliary Prompts: Towards Alleviating Text-to-Image Retrieval Bias for CLIP in Zero-shot Learning. CoRR Hanyao Wang, Yibing Zhan, Liu Liu, Liang Ding, Jun Yu
2024	J	`jnl`	Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning. CoRR Changtong Zan, Liang Ding, Li Shen, Yibing Zhen, Weifeng Liu, Dacheng Tao
2024	J	`jnl`	Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining? ACM Trans. Multim. Comput. Commun. Appl. Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding
2024	J	`jnl`	CogSteer: Cognition-Inspired Selective Layer Intervention for Efficient Semantic Steering in Large Language Models. CoRR Xintong Wang, Jingheng Pan, Longqin Jiang, Liang Ding, Xingshan Li, Chris Biemann
2024	J	`jnl`	Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic
2024	A*	`conf`	Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models. EMNLP Yuxuan Guo, Zhiliang Tian, Yiping Song, Tianlun Liu, Liang Ding, Dongsheng Li
2024	—	`conf`	DB-LLM: Accurate Dual-Binarization for Efficient LLMs. ACL (Findings) Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
2024	J	`jnl`	Demystifying the Compression of Mixture-of-Experts Through a Unified Framework. CoRR Shwai He, Daize Dong, Liang Ding, Ang Li
2024	A	`conf`	Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. ECAI Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao
2024	J	`jnl`	Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. CoRR Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Dacheng Tao
2024	J	`jnl`	DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs. CoRR Xiabin Zhou, Wenbin Wang, Minyan Zeng, Jiaxian Guo, Xuebo Liu, Li Shen, Min Zhang, Liang Ding
2024	J	`jnl`	E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation. IEEE Trans. Knowl. Data Eng. Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2024	—	`conf`	Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models. ACL (Findings) Qingyu Lu, Baopu Qiu, Liang Ding, Kanjian Zhang, Tom Kocmi, Dacheng Tao
2024	J	`jnl`	Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models. CoRR Jun Rao, Xuebo Liu, ZePeng Lin, Liang Ding, Jing Li, Dacheng Tao, Min Zhang
2024	J	`jnl`	Exploring sparsity in graph transformers. Neural Networks Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
2024	J	`jnl`	Free-Form Composition Networks for Egocentric Action Recognition. IEEE Trans. Circuits Syst. Video Technol. Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling
2024	J	`jnl`	Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation. CoRR Zhiyao Ren, Yibing Zhan, Baosheng Yu, Liang Ding, Dacheng Tao
2024	J	`jnl`	Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. CoRR Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao
2024	A*	`conf`	InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling. NeurIPS Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao
2024	J	`jnl`	Intention Analysis Prompting Makes Large Language Models A Good Jailbreak Defender. CoRR Yuqi Zhang, Liang Ding, Lefei Zhang, Dacheng Tao
2024	—	`conf`	Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL. EMNLP (Findings) Qihuang Zhong, Kunfeng Chen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2024	J	`jnl`	Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL. CoRR Qihuang Zhong, Kunfeng Chen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2024	J	`jnl`	MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators. CoRR Qingyu Lu, Liang Ding, Kanjian Zhang, Jinxia Zhang, Dacheng Tao
2024	—	`conf`	Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding. ACL (Findings) Xintong Wang, Jingheng Pan, Liang Ding, Chris Biemann
2024	J	`jnl`	Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding. CoRR Xintong Wang, Jingheng Pan, Liang Ding, Chris Biemann
2024	J	`jnl`	Mitigating Reward Hacking via Information-Theoretic Reward Modeling. CoRR Yuchun Miao, Sen Zhang, Liang Ding, Rong Bao, Lefei Zhang, Dacheng Tao
2024	A*	`conf`	Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. AAAI Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, Dacheng Tao
2024	—	`conf`	OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. ACL (Findings) Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao
2024	J	`jnl`	OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. CoRR Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao
2024	—	`conf`	POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. ACL (1) Shilong Pan, Zhiliang Tian, Liang Ding, Haoqi Zheng, Zhen Huang, Zhihua Wen, Dongsheng Li
2024	J	`jnl`	POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. CoRR Shilong Pan, Zhiliang Tian, Liang Ding, Zhen Huang, Zhihua Wen, Dongsheng Li
2024	J	`jnl`	PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. IEEE Trans. Knowl. Data Eng. Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2024	J	`jnl`	Parameter-Efficient and Student-Friendly Knowledge Distillation. IEEE Trans. Multim. Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Xuebo Liu, Min Zhang, Dacheng Tao
2024	—	`conf`	ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. ACL (Findings) Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2024	J	`jnl`	ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2024	—	`conf`	Revisiting Catastrophic Forgetting in Large Language Model Tuning. EMNLP (Findings) Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao
2024	J	`jnl`	Revisiting Catastrophic Forgetting in Large Language Model Tuning. CoRR Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao
2024	—	`conf`	Revisiting Demonstration Selection Strategies in In-Context Learning. ACL (1) Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2024	J	`jnl`	Revisiting Demonstration Selection Strategies in In-Context Learning. CoRR Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2024	—	`conf`	Revisiting Knowledge Distillation for Autoregressive Language Models. ACL (1) Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
2024	J	`jnl`	Revisiting Knowledge Distillation for Autoregressive Language Models. CoRR Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
2024	A*	`conf`	Self-Powered LLM Modality Expansion for Large Speech-Text Models. EMNLP Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang
2024	J	`jnl`	Self-Powered LLM Modality Expansion for Large Speech-Text Models. CoRR Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang
2024	A*	`conf`	Sheared Backpropagation for Fine-Tuning Foundation Models. CVPR Zhiyuan Yu, Li Shen, Liang Ding, Xinmei Tian, Yixin Chen, Dacheng Tao
2024	J	`jnl`	Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models. CoRR Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding
2024	—	`conf`	Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. ACL (1) Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang
2024	—	`conf`	Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. LREC/COLING Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu
2024	J	`jnl`	Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. CoRR Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu
2024	J	`jnl`	Towards Training A Chinese Large Language Model for Anesthesiology. CoRR Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu
2024	J	`jnl`	USCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding. CoRR Shuai Wang, Liang Ding, Li Shen, Yong Luo, Zheng He, Wei Yu, Dacheng Tao
2024	—	`conf`	Uncertainty Aware Learning for Language Model Alignment. ACL (1) Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao
2024	J	`jnl`	Uncertainty Aware Learning for Language Model Alignment. CoRR Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao
2024	A*	`conf`	WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge. ACM Multimedia Wenbin Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Dacheng Tao
2024	J	`jnl`	WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge. CoRR Wenbin Wang, Liang Ding, Li Shen, Yong Luo, Han Hu, Dacheng Tao
2023	J	`jnl`	A perioperative risk assessment dataset with multi-view data based on online accelerated pairwise comparison. Inf. Fusion Xinyao Li, Yibing Zhan, Yanhua Zhao, Yiqiang Wu, Liang Ding, YuanYuan Li, Dapeng Tao, Hua Jin
2023	J	`jnl`	AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks. CoRR Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
2023	J	`jnl`	Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. CoRR Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao
2023	—	`conf`	CASN: Class-Aware Score Network for Textual Adversarial Detection. ACL (1) Rong Bao, Rui Zheng, Liang Ding, Qi Zhang, Dacheng Tao
2023	J	`jnl`	Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2023	J	`jnl`	Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining? CoRR Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding
2023	J	`jnl`	Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion. CoRR Anke Tang, Li Shen, Yong Luo, Liang Ding, Han Hu, Bo Du, Dacheng Tao
2023	J	`jnl`	Deep Model Fusion: A Survey. CoRR Weishi Li, Yong Peng, Miao Zhang, Liang Ding, Han Hu, Li Shen
2023	J	`jnl`	Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. CoRR Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao
2023	—	`conf`	Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. ACL (1) Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo
2023	J	`jnl`	Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. CoRR Qingyue Wang, Liang Ding, Yanan Cao, Yibing Zhan, Zheng Lin, Shi Wang, Dacheng Tao, Li Guo
2023	J	`jnl`	Dynamic Contrastive Distillation for Image-Text Retrieval. IEEE Trans. Multim. Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
2023	A*	`conf`	Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. ICML Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao
2023	J	`jnl`	Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. CoRR Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao
2023	J	`jnl`	Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup. IEEE Trans. Pattern Anal. Mach. Intell. Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao
2023	J	`jnl`	Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup. CoRR Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao
2023	J	`jnl`	Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT. CoRR Qingyu Lu, Baopu Qiu, Liang Ding, Liping Xie, Dacheng Tao
2023	J	`jnl`	Exploring Sparsity in Graph Transformers. CoRR Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
2023	A*	`conf`	FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. ICLR Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao
2023	J	`jnl`	FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. CoRR Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao
2023	J	`jnl`	Free-Form Composition Networks for Egocentric Action Recognition. CoRR Haoran Wang, Qinghua Cheng, Baosheng Yu, Yibing Zhan, Dapeng Tao, Liang Ding, Haibin Ling
2023	A*	`conf`	Gapformer: Graph Transformer with Graph Pooling for Node Classification. IJCAI Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu
2023	A*	`conf`	Improving Simultaneous Machine Translation with Monolingual Data. AAAI Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang
2023	J	`jnl`	KE-X: Towards subgraph explanations of knowledge graph embedding based on knowledge information gain. Knowl. Based Syst. Dong Zhao, Guojia Wan, Yibing Zhan, Zengmao Wang, Liang Ding, Zhigao Zheng, Bo Du
2023	J	`jnl`	Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis. IEEE Trans. Knowl. Data Eng. Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao
2023	A	`conf`	MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism. IPDPS Zheng Zhang, Donglin Yang, Yaqi Xia, Liang Ding, Dacheng Tao, Xiaobo Zhou, Dazhao Cheng
2023	J	`jnl`	MerA: Merging Pretrained Adapters For Few-Shot Learning. CoRR Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
2023	A*	`conf`	Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. EMNLP Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
2023	J	`jnl`	Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. CoRR Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
2023	J	`jnl`	OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. CoRR Chao Xue, Wei Liu, Shuai Xie, Zhenfang Wang, Jiaxing Li, Xuyang Peng, Liang Ding, Shanshan Zhao, Qiong Cao, Yibo Yang, Fengxiang He, Bohua Cai, Rongcheng Bian, Yiyan Zhao, Heliang Zheng, Xiangyang Liu, Dongkai Liu, Daqing Liu, Li Shen, Chang Li, Shijin Zhang, Yukang Zhang, Guanpu Chen, Shixiang Chen, Yibing Zhan, Jing Zhang, Chaoyue Wang, Dacheng Tao
2023	J	`jnl`	On Efficient Training of Large-Scale Deep Learning Models: A Literature Review. CoRR Li Shen, Yan Sun, Zhiyuan Yu, Liang Ding, Xinmei Tian, Dacheng Tao
2023	—	`conf`	PAD-Net: An Efficient Framework for Dynamic Networks. ACL (1) Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao
2023	B	`conf`	Prompt-Learning for Cross-Lingual Relation Extraction. IJCNN Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu
2023	J	`jnl`	Prompt-Learning for Cross-Lingual Relation Extraction. CoRR Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu
2023	A*	`conf`	PromptST: Abstract Prompt Learning for End-to-End Speech Translation. EMNLP Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang
2023	J	`jnl`	Recurrent graph encoder for syntax-aware neural machine translation. Int. J. Mach. Learn. Cybern. Liang Ding, Longyue Wang, Siyou Liu
2023	J	`jnl`	Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models. CoRR Qingyue Wang, Liang Ding, Yanan Cao, Zhiliang Tian, Shi Wang, Dacheng Tao, Li Guo
2023	—	`conf`	Revisiting Token Dropping Strategy in Efficient BERT Pretraining. ACL (1) Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao
2023	J	`jnl`	Revisiting Token Dropping Strategy in Efficient BERT Pretraining. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao
2023	A	`conf`	SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution. WACV Shwai He, Chenbo Jiang, Daize Dong, Liang Ding
2023	—	`conf`	Self-Evolution Learning for Discriminative Language Model Pretraining. ACL (Findings) Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2023	J	`jnl`	Self-Evolution Learning for Discriminative Language Model Pretraining. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2023	A*	`conf`	Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. EMNLP Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao
2023	J	`jnl`	Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. CoRR Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Dongsheng Li, Dacheng Tao
2023	J	`jnl`	SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification. CoRR Lei Wang, Yibing Zhan, Leilei Ma, Dapeng Tao, Liang Ding, Chen Gong
2023	—	`conf`	Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. ACL (2) Keqin Peng, Liang Ding, Qihuang Zhong, Yuanxin Ouyang, Wenge Rong, Zhang Xiong, Dacheng Tao
2023	—	`conf`	Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. ACL (1) Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao
2023	—	`conf`	Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2023	J	`jnl`	Towards Making the Most of ChatGPT for Machine Translation. CoRR Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
2023	—	`conf`	TransGEC: Improving Grammatical Error Correction with Translationese. ACL (Findings) Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
2023	J	`jnl`	Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis. IEEE ACM Trans. Audio Speech Lang. Process. Juhua Liu, Qihuang Zhong, Liang Ding, Hua Jin, Bo Du, Dacheng Tao
2023	J	`jnl`	Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation. CoRR Changtong Zan, Liang Ding, Li Shen, Yibin Lei, Yibing Zhan, Weifeng Liu, Dacheng Tao
2023	—	`conf`	Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. ACL (Findings) Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao
2023	J	`jnl`	Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. CoRR Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao
2023	A	`conf`	Using Self-Supervised Dual Constraint Contrastive Learning for Cross-Modal Retrieval. ECAI Xintong Wang, Xiaoyu Li, Liang Ding, Sanyuan Zhao, Chris Biemann
2023	J	`jnl`	Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models. CoRR Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2023	A*	`conf`	Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. EMNLP Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2022	B	`conf`	A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. COLING Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao
2022	J	`jnl`	A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis. CoRR Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao
2022	J	`jnl`	BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation. CoRR Zheng Zhang, Liang Ding, Dazhao Cheng, Xuebo Liu, Min Zhang, Dacheng Tao
2022	J	`jnl`	Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation. CoRR Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao
2022	J	`jnl`	Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic Networks. CoRR Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao
2022	J	`jnl`	Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. CoRR Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic
2022	J	`jnl`	Dynamic Contrastive Distillation for Image-Text Retrieval. CoRR Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
2022	J	`jnl`	E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2022	A*	`conf`	Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning. CVPR Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan
2022	J	`jnl`	Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning. CoRR Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan
2022	J	`jnl`	Improving Neural Machine Translation by Denoising Training. CoRR Liang Ding, Keqin Peng, Dacheng Tao
2022	—	`conf`	Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. EMNLP (Findings) Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao
2022	J	`jnl`	Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. CoRR Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao
2022	J	`jnl`	Improving Simultaneous Machine Translation with Monolingual Data. CoRR Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang
2022	J	`jnl`	Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-based Sentiment Analysis. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao
2022	—	`conf`	MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning. IWSLT@ACL Di Wu, Liang Ding, Shuo Yang, Mingyang Li
2022	B	`conf`	On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. COLING Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao
2022	J	`jnl`	On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. CoRR Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao
2022	J	`jnl`	Original or Translated? On the Use of Parallel Data for Translation Quality Estimation. CoRR Baopu Qiu, Liang Ding, Di Wu, Lin Shang, Yibing Zhan, Dacheng Tao
2022	J	`jnl`	PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. CoRR Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
2022	J	`jnl`	Parameter-Efficient and Student-Friendly Knowledge Distillation. CoRR Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Dacheng Tao
2022	—	`conf`	Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation. ACL (1) Liang Ding, Longyue Wang, Shuming Shi, Dacheng Tao, Zhaopeng Tu
2022	—	`conf`	SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. EMNLP (Findings) Shwai He, Liang Ding, Daize Dong, Jeremy Zhang, Dacheng Tao
2022	J	`jnl`	SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. CoRR Shwai He, Liang Ding, Daize Dong, Miao Zhang, Dacheng Tao
2022	J	`jnl`	Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. CoRR Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, Dacheng Tao
2022	J	`jnl`	Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. CoRR Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao
2022	—	`conf`	Vega-MT: The JD Explore Academy Machine Translation System for WMT22. WMT Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao
2022	J	`jnl`	Vega-MT: The JD Explore Academy Translation System for WMT22. CoRR Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao
2022	J	`jnl`	Where Does the Performance Improvement Come From? - A Reproducibility Concern about Image-Text Retrieval. CoRR Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
2022	A*	`conf`	Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. SIGIR Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
2021	J	`jnl`	Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding. CoRR Di Wu, Yiren Chen, Liang Ding, Dacheng Tao
2021	—	`conf`	Improving Neural Machine Translation by Bidirectional Training. EMNLP (1) Liang Ding, Di Wu, Dacheng Tao
2021	J	`jnl`	Improving Neural Machine Translation by Bidirectional Training. CoRR Liang Ding, Di Wu, Dacheng Tao
2021	—	`conf`	On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. EMNLP (Findings) Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
2021	J	`jnl`	On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. CoRR Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
2021	—	`conf`	On the Copying Behaviors of Pre-Training for Neural Machine Translation. ACL/IJCNLP (Findings) Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
2021	J	`jnl`	On the Copying Behaviors of Pre-Training for Neural Machine Translation. CoRR Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Shuming Shi, Zhaopeng Tu
2021	—	`conf`	Progressive Multi-Granularity Training for Non-Autoregressive Translation. ACL/IJCNLP (Findings) Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
2021	J	`jnl`	Progressive Multi-Granularity Training for Non-Autoregressive Translation. CoRR Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
2021	—	`conf`	Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. ACL/IJCNLP (1) Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
2021	J	`jnl`	Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. CoRR Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
2021	J	`jnl`	SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning. CoRR Di Wu, Liang Ding, Shuo Yang, Dacheng Tao
2021	J	`jnl`	The USYD-JD Speech Translation System for IWSLT 2021. CoRR Liang Ding, Di Wu, Dacheng Tao
2021	—	`conf`	The USYD-JD Speech Translation System for IWSLT2021. IWSLT Liang Ding, Dacheng Tao
2021	Misc	`conf`	Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation. ICASSP Yu Cao, Liang Ding, Zhiliang Tian, Meng Fang
2021	J	`jnl`	Towards Efficiently Diversifying Dialogue Generation via Embedding Augmentation. CoRR Yu Cao, Liang Ding, Zhiliang Tian, Meng Fang
2021	A*	`conf`	Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. ICLR Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu
2021	A*	`conf`	Understanding and Improving Lexical Choice in Non-Autoregressive Translation. ICLR Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
2021	J	`jnl`	Unified Instance and Knowledge Alignment Pretraining for Aspect-based Sentiment Analysis. CoRR Juhua Liu, Qihuang Zhong, Liang Ding, Hua Jin, Bo Du, Dacheng Tao
2020	B	`conf`	Context-Aware Cross-Attention for Non-Autoregressive Translation. COLING Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu
2020	J	`jnl`	Context-Aware Cross-Attention for Non-Autoregressive Translation. CoRR Liang Ding, Longyue Wang, Di Wu, Dacheng Tao, Zhaopeng Tu
2020	A*	`conf`	Self-Attention with Cross-Lingual Position Representation. ACL Liang Ding, Longyue Wang, Dacheng Tao
2020	J	`jnl`	Self-Attention with Cross-Lingual Position Representation. CoRR Liang Ding, Longyue Wang, Dacheng Tao
2020	—	`conf`	Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task. WMT@EMNLP Longyue Wang, Zhaopeng Tu, Xing Wang, Li Ding, Liang Ding, Shuming Shi
2020	J	`jnl`	Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. CoRR Xuebo Liu, Longyue Wang, Derek F. Wong, Liang Ding, Lidia S. Chao, Zhaopeng Tu
2020	J	`jnl`	Understanding and Improving Lexical Choice in Non-Autoregressive Translation. CoRR Liang Ding, Longyue Wang, Xuebo Liu, Derek F. Wong, Dacheng Tao, Zhaopeng Tu
2019	J	`jnl`	Recurrent Graph Syntax Encoder for Neural Machine Translation. CoRR Liang Ding, Dacheng Tao
2019	—	`conf`	The University of Sydney's Machine Translation System for WMT19. WMT (2) Liang Ding, Dacheng Tao
2019	J	`jnl`	The University of Sydney's Machine Translation System for WMT19. CoRR Liang Ding, Dacheng Tao