Liang Ding

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 93

Top Topics

Adaptive Learning Rate

Top Venues

Publications

Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Xuebo Liu, Min Zhang, Dacheng Tao
Parameter-Efficient and Student-Friendly Knowledge Distillation. IEEE Trans. Multim. 26 (2024)
Qingyu Lu, Baopu Qiu, Liang Ding, Kanjian Zhang, Tom Kocmi, Dacheng Tao
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models. ACL (Findings) (2024)
Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. CoRR (2024)
Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. LREC/COLING (2024)
Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
Revisiting Knowledge Distillation for Autoregressive Language Models. ACL (1) (2024)
Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Revisiting Demonstration Selection Strategies in In-Context Learning. ACL (1) (2024)
Changtong Zan, Liang Ding, Li Shen, Yibing Zhen, Weifeng Liu, Dacheng Tao
Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning. CoRR (2024)
Tianle Xia, Liang Ding, Guojia Wan, Yibing Zhan, Bo Du, Dacheng Tao
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. CoRR (2024)
Zhiyao Ren, Yibing Zhan, Baosheng Yu, Liang Ding, Dacheng Tao
Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation. CoRR (2024)
Shilong Pan, Zhiliang Tian, Liang Ding, Haoqi Zheng, Zhen Huang, Zhihua Wen, Dongsheng Li
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. ACL (1) (2024)
Rong Bao, Rui Zheng, Shihan Dou, Xiao Wang, Enyu Zhou, Bo Wang, Qi Zhang, Liang Ding, Dacheng Tao
Aligning Large Language Models from Self-Reference AI Feedback with one General Principle. CoRR (2024)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. ACL (Findings) (2024)
Qihuang Zhong, Liang Ding, Li Shen, Juhua Liu, Bo Du, Dacheng Tao
Revisiting Knowledge Distillation for Autoregressive Language Models. CoRR (2024)
Shwai He, Daize Dong, Liang Ding, Ang Li
Demystifying the Compression of Mixture-of-Experts Through a Unified Framework. CoRR (2024)
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
Exploring sparsity in graph transformers. Neural Networks 174 (2024)
Shilong Pan, Zhiliang Tian, Liang Ding, Zhen Huang, Zhihua Wen, Dongsheng Li
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. CoRR (2024)
Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao
Uncertainty Aware Learning for Language Model Alignment. CoRR (2024)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. CoRR (2024)
Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. Neural Networks 169 (2024)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. IEEE Trans. Knowl. Data Eng. 36 (9) (2024)
Qihuang Zhong, Kang Wang, Ziyang Xu, Juhua Liu, Liang Ding, Bo Du, Dacheng Tao
Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Reasoners. CoRR (2024)
Zhonghai Wang, Jie Jiang, Yibing Zhan, Bohao Zhou, Yanhong Li, Chong Zhang, Liang Ding, Hua Jin, Jun Peng, Xu Lin, Weifeng Liu
Towards Training A Chinese Large Language Model for Anesthesiology. CoRR (2024)
Hongyu Li, Liang Ding, Meng Fang, Dacheng Tao
Revisiting Catastrophic Forgetting in Large Language Model Tuning. CoRR (2024)
Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang
Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. ACL (1) (2024)
Shuai Wang, Liang Ding, Li Shen, Yong Luo, Bo Du, Dacheng Tao
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. ACL (Findings) (2024)
Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. ACL (Findings) (2024)
Zhiyao Ren, Yibing Zhan, Liang Ding, Gaoang Wang, Chaoyue Wang, Zhongyi Fan, Dacheng Tao
Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. AAAI (2024)
Yikun Wang, Rui Zheng, Liang Ding, Qi Zhang, Dahua Lin, Dacheng Tao
Uncertainty Aware Learning for Language Model Alignment. ACL (1) (2024)
Hanyao Wang, Yibing Zhan, Liu Liu, Liang Ding, Jun Yu
Balanced Similarity with Auxiliary Prompts: Towards Alleviating Text-to-Image Retrieval Bias for CLIP in Zero-shot Learning. CoRR (2024)
Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. CoRR (2024)
Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR (2024)
Ziyang Xu, Keqin Peng, Liang Ding, Dacheng Tao, Xiliang Lu
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. LREC/COLING (2024)
Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu, Changjian Wang, Dongsheng Li, Dacheng Tao
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. EMNLP (2023)
Qihuang Zhong, Liang Ding, Keqin Peng, Juhua Liu, Bo Du, Li Shen, Yibing Zhan, Dacheng Tao
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. CoRR (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT. CoRR (2023)
Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
Dynamic Contrastive Distillation for Image-Text Retrieval. IEEE Trans. Multim. 25 (2023)
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) (2023)
Lei Wang, Yibing Zhan, Leilei Ma, Dapeng Tao, Liang Ding, Chen Gong
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification. CoRR (2023)
Zheng Zhang, Donglin Yang, Yaqi Xia, Liang Ding, Dacheng Tao, Xiaobo Zhou, Dazhao Cheng
MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism. IPDPS (2023)
Changtong Zan, Liang Ding, Li Shen, Yibin Lei, Yibing Zhan, Weifeng Liu, Dacheng Tao
Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation. CoRR (2023)
Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao, Jia Wu, Wenbin Hu, Bo Du
Exploring Sparsity in Graph Transformers. CoRR (2023)
Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Zero-Shot Sharpness-Aware Quantization for Pre-trained Language Models. CoRR (2023)
Fei Wang, Liang Ding, Jun Rao, Ye Liu, Li Shen, Changxing Ding
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining? CoRR (2023)
Xinyao Li, Yibing Zhan, Yanhua Zhao, Yiqiang Wu, Liang Ding, Yuanyuan Li, Dapeng Tao, Hua Jin
A perioperative risk assessment dataset with multi-view data based on online accelerated pairwise comparison. Inf. Fusion 99 (2023)
Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu
Prompt-Learning for Cross-Lingual Relation Extraction. IJCNN (2023)
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. EMNLP (2023)
Chiaming Hsu, Changtong Zan, Liang Ding, Longyue Wang, Xiaoting Wang, Weifeng Liu, Fu Lin, Wenbin Hu
Prompt-Learning for Cross-Lingual Relation Extraction. CoRR (2023)
Rong Bao, Rui Zheng, Liang Ding, Qi Zhang, Dacheng Tao
CASN: Class-Aware Score Network for Textual Adversarial Detection. ACL (1) (2023)
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao
Towards Making the Most of ChatGPT for Machine Translation. CoRR (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Hua Jin, Dacheng Tao
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 35 (10) (2023)
Qingyu Lu, Baopu Qiu, Liang Ding, Liping Xie, Dacheng Tao
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT. CoRR (2023)
Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. ICML (2023)
Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang
PromptST: Abstract Prompt Learning for End-to-End Speech Translation. EMNLP (2023)
Miaoxi Zhu, Qihuang Zhong, Li Shen, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. EMNLP (2023)
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
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. CoRR (2023)
Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. CoRR (2023)
Shwai He, Chenbo Jiang, Daize Dong, Liang Ding
SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution. WACV (2023)
Yan Sun, Li Shen, Hao Sun, Liang Ding, Dacheng Tao
Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
Self-Evolution Learning for Discriminative Language Model Pretraining. ACL (Findings) (2023)
Li Shen, Yan Sun, Zhiyuan Yu, Liang Ding, Xinmei Tian, Dacheng Tao
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review. CoRR (2023)
Weishi Li, Yong Peng, Miao Zhang, Liang Ding, Han Hu, Li Shen
Deep Model Fusion: A Survey. CoRR (2023)
Boan Liu, Liang Ding, Li Shen, Keqin Peng, Yu Cao, Dazhao Cheng, Dacheng Tao
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. CoRR (2023)
Shwai He, Run-Ze Fan, Liang Ding, Li Shen, Tianyi Zhou, Dacheng Tao
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. CoRR (2023)
Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. ICLR (2023)
Juhua Liu, Qihuang Zhong, Liang Ding, Hua Jin, Bo Du, Dacheng Tao
Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Jun Rao, Liang Ding, Shuhan Qi, Meng Fang, Yang Liu, Li Shen, Dacheng Tao
Dynamic Contrastive Distillation for Image-Text Retrieval. CoRR (2022)
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. SIGIR (2022)
Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. COLING (2022)
Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation. CoRR (2022)
Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang
Improving Simultaneous Machine Translation with Monolingual Data. CoRR (2022)
Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Dacheng Tao
Parameter-Efficient and Student-Friendly Knowledge Distillation. CoRR (2022)
Shwai He, Liang Ding, Daize Dong, Boan Liu, Fuqiang Yu, Dacheng Tao
Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic Networks. CoRR (2022)
Jun Rao, Fei Wang, Liang Ding, Shuhan Qi, Yibing Zhan, Weifeng Liu, Dacheng Tao
Where Does the Performance Improvement Come From? - A Reproducibility Concern about Image-Text Retrieval. CoRR (2022)
Zheng Zhang, Liang Ding, Dazhao Cheng, Xuebo Liu, Min Zhang, Dacheng Tao
BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation. CoRR (2022)
Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. COLING (2022)
Di Wu, Liang Ding, Shuo Yang, Mingyang Li
MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning. IWSLT@ACL (2022)
Chuang Liu, Xueqi Ma, Yibing Zhan, Liang Ding, Dapeng Tao, Bo Du, Wenbin Hu, Danilo P. Mandic
Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. CoRR (2022)
Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao
Vega-MT: The JD Explore Academy Translation System for WMT22. CoRR (2022)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. CoRR (2022)
Qihuang Zhong, Liang Ding, Juhua Liu, Bo Du, Dacheng Tao
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation. CoRR (2022)
Shwai He, Liang Ding, Daize Dong, Miao Zhang, Dacheng Tao
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. CoRR (2022)
Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. EMNLP (Findings) (2022)
Changtong Zan, Keqin Peng, Liang Ding, Baopu Qiu, Boan Liu, Shwai He, Qingyu Lu, Zheng Zhang, Chuang Liu, Weifeng Liu, Yibing Zhan, Dacheng Tao
Vega-MT: The JD Explore Academy Machine Translation System for WMT22. WMT (2022)
Qihuang Zhong, Liang Ding, Li Shen, Peng Mi, Juhua Liu, Bo Du, Dacheng Tao
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. CoRR (2022)
Shwai He, Liang Ding, Daize Dong, Jeremy Zhang, Dacheng Tao
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. EMNLP (Findings) (2022)
Liang Ding, Longyue Wang, Shuming Shi, Dacheng Tao, Zhaopeng Tu
Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation. ACL (1) (2022)
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
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. CoRR (2022)
Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning. CVPR (2022)
Bing Wang, Liang Ding, Qihuang Zhong, Ximing Li, Dacheng Tao
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis. CoRR (2022)
Qingyu Lu, Liang Ding, Liping Xie, Kanjian Zhang, Derek F. Wong, Dacheng Tao
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. CoRR (2022)
Changtong Zan, Liang Ding, Li Shen, Yu Cao, Weifeng Liu, Dacheng Tao
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. CoRR (2022)
Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning. CoRR (2022)
Baopu Qiu, Liang Ding, Di Wu, Lin Shang, Yibing Zhan, Dacheng Tao
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation. CoRR (2022)