The University of Sydney's Machine Translation System for WMT19. - Liang Ding 006; Dacheng Tao (WMT (2), 2019)

Recurrent Graph Syntax Encoder for Neural Machine Translation. - Liang Ding 006; Dacheng Tao (CoRR, 2019)

Self-Attention with Cross-Lingual Position Representation. - Liang Ding 006; Longyue Wang; Dacheng Tao (ACL, 2020)

Context-Aware Cross-Attention for Non-Autoregressive Translation. - Liang Ding 006; Longyue Wang; Di Wu; Dacheng Tao; Zhaopeng Tu (COLING, 2020)

Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task. - Longyue Wang; Zhaopeng Tu; Xing Wang 007; Li Ding; Liang Ding 006; Shuming Shi 001 (WMT@EMNLP, 2020)

Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation. - Liang Ding 006; Longyue Wang; Xuebo Liu 002; Derek F. Wong; Dacheng Tao; Zhaopeng Tu (ACL/IJCNLP (1), 2021)

Progressive Multi-Granularity Training for Non-Autoregressive Translation. - Liang Ding 006; Longyue Wang; Xuebo Liu 002; Derek F. Wong; Dacheng Tao; Zhaopeng Tu (ACL/IJCNLP (Findings), 2021)

On the Copying Behaviors of Pre-Training for Neural Machine Translation. - Xuebo Liu 002; Longyue Wang; Derek F. Wong; Liang Ding 006; Lidia S. Chao; Shuming Shi 001; Zhaopeng Tu (ACL/IJCNLP (Findings), 2021)

On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation. - Xuebo Liu 002; Longyue Wang; Derek F. Wong; Liang Ding 006; Lidia S. Chao; Shuming Shi 001; Zhaopeng Tu (EMNLP (Findings), 2021)

Improving Neural Machine Translation by Bidirectional Training. - Liang Ding 006; Di Wu; Dacheng Tao (EMNLP (1), 2021)

Towards Efficiently Diversifying Dialogue Generation Via Embedding Augmentation. - Yu Cao 014; Liang Ding 006; Zhiliang Tian; Meng Fang (ICASSP, 2021)

Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning. - Xuebo Liu 002; Longyue Wang; Derek F. Wong; Liang Ding 006; Lidia S. Chao; Zhaopeng Tu (ICLR, 2021)

Understanding and Improving Lexical Choice in Non-Autoregressive Translation. - Liang Ding 006; Longyue Wang; Xuebo Liu 002; Derek F. Wong; Dacheng Tao; Zhaopeng Tu (ICLR, 2021)

The USYD-JD Speech Translation System for IWSLT2021. - Liang Ding 006; Dacheng Tao (IWSLT, 2021)

SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning. - Di Wu; Liang Ding 006; Shuo Yang; Dacheng Tao (CoRR, 2021)

Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding. - Di Wu; Yiren Chen; Liang Ding 006; Dacheng Tao (CoRR, 2021)

The USYD-JD Speech Translation System for IWSLT 2021. - Liang Ding 006; Di Wu; Dacheng Tao (CoRR, 2021)

Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation. - Liang Ding 006; Longyue Wang; Shuming Shi 001; Dacheng Tao; Zhaopeng Tu (ACL (1), 2022)

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis. - Bing Wang 018; Liang Ding 006; Qihuang Zhong; Ximing Li 002; Dacheng Tao (COLING, 2022)

On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation. - Changtong Zan; Liang Ding 006; Li Shen 008; Yu Cao 014; Weifeng Liu 001; Dacheng Tao (COLING, 2022)

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning. - Lin Zhang 014; Li Shen 008; Liang Ding 006; Dacheng Tao; Ling-Yu Duan (CVPR, 2022)

SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. - Shwai He; Liang Ding 006; Daize Dong; Jeremy Zhang; Dacheng Tao (EMNLP (Findings), 2022)

Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models. - Qihuang Zhong; Liang Ding 006; Li Shen 008; Peng Mi; Juhua Liu; Bo Du 001; Dacheng Tao (EMNLP (Findings), 2022)

MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning. - Di Wu; Liang Ding 006; Shuo Yang; Mingyang Li (IWSLT@ACL, 2022)

Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval. - Jun Rao; Fei Wang 032; Liang Ding 006; Shuhan Qi; Yibing Zhan; Weifeng Liu 001; Dacheng Tao (SIGIR, 2022)

Vega-MT: The JD Explore Academy Machine Translation System for WMT22. - Changtong Zan; Keqin Peng; Liang Ding 006; Baopu Qiu; Boan Liu; Shwai He; Qingyu Lu; Zheng Zhang 036; Chuang Liu 008; Weifeng Liu 001; Yibing Zhan; Dacheng Tao (WMT, 2022)

Improving Neural Machine Translation by Denoising Training. - Liang Ding 006; Keqin Peng; Dacheng Tao (CoRR, 2022)

Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation. - Changtong Zan; Liang Ding 006; Li Shen 008; Yu Cao 014; Weifeng Liu 001; Dacheng Tao (CoRR, 2022)

BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation. - Zheng Zhang 036; Liang Ding 006; Dazhao Cheng; Xuebo Liu 002; Min Zhang 005; Dacheng Tao (CoRR, 2022)

Parameter-Efficient and Student-Friendly Knowledge Distillation. - Jun Rao; Xv Meng; Liang Ding 006; Shuhan Qi; Dacheng Tao (CoRR, 2022)

Vega-MT: The JD Explore Academy Translation System for WMT22. - Changtong Zan; Keqin Peng; Liang Ding 006; Baopu Qiu; Boan Liu; Shwai He; Qingyu Lu; Zheng Zhang 036; Chuang Liu 008; Weifeng Liu 001; Yibing Zhan; Dacheng Tao (CoRR, 2022)

SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters. - Shwai He; Liang Ding 006; Daize Dong; Miao Zhang 037; Dacheng Tao (CoRR, 2022)

Cherry Hypothesis: Identifying the Cherry on the Cake for Dynamic Networks. - Shwai He; Liang Ding 006; Daize Dong; Boan Liu; Fuqiang Yu; Dacheng Tao (CoRR, 2022)

Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. - Qihuang Zhong; Liang Ding 006; Yibing Zhan; Yu Qiao 001; Yonggang Wen 001; Li Shen 008; Juhua Liu; Baosheng Yu; Bo Du 001; Yixin Chen 001; Xinbo Gao 001; Chunyan Miao; et al. (CoRR, 2022)

Original or Translated? On the Use of Parallel Data for Translation Quality Estimation. - Baopu Qiu; Liang Ding 006; Di Wu; Lin Shang 001; Yibing Zhan; Dacheng Tao (CoRR, 2022)

Improving Simultaneous Machine Translation with Monolingual Data. - Hexuan Deng; Liang Ding 006; Xuebo Liu 002; Meishan Zhang; Dacheng Tao; Min Zhang 005 (AAAI, 2023)

CASN: Class-Aware Score Network for Textual Adversarial Detection. - Rong Bao; Rui Zheng; Liang Ding 006; Qi Zhang 001; Dacheng Tao (ACL (1), 2023)

TransGEC: Improving Grammatical Error Correction with Translationese. - Tao Fang; Xuebo Liu 002; Derek F. Wong; Runzhe Zhan; Liang Ding 006; Lidia S. Chao; Dacheng Tao; Min Zhang 005 (ACL (Findings), 2023)

PAD-Net: An Efficient Framework for Dynamic Networks. - Shwai He; Liang Ding 006; Daize Dong; Boan Liu; Fuqiang Yu; Dacheng Tao (ACL (1), 2023)

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. - Yibin Lei; Liang Ding 006; Yu Cao 014; Changtong Zan; Andrew Yates; Dacheng Tao (ACL (Findings), 2023)

Toward Human-Like Evaluation for Natural Language Generation with Error Analysis. - Qingyu Lu; Liang Ding 006; Liping Xie; Kanjian Zhang; Derek F. Wong; Dacheng Tao (ACL (1), 2023)

Token-Level Self-Evolution Training for Sequence-to-Sequence Learning. - Keqin Peng; Liang Ding 006; Qihuang Zhong; Yuanxin Ouyang; Wenge Rong; Zhang Xiong 001; Dacheng Tao (ACL (2), 2023)

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking. - Qingyue Wang; Liang Ding 006; Yanan Cao 001; Yibing Zhan; Zheng Lin 001; Shi Wang 002; Dacheng Tao; Li Guo 001 (ACL (1), 2023)

Self-Evolution Learning for Discriminative Language Model Pretraining. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (ACL (Findings), 2023)

Revisiting Token Dropping Strategy in Efficient BERT Pretraining. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Xuebo Liu 002; Min Zhang 005; Bo Du 001; Dacheng Tao (ACL (1), 2023)

Using Self-Supervised Dual Constraint Contrastive Learning for Cross-Modal Retrieval. - Xintong Wang 001; Xiaoyu Li; Liang Ding 006; Sanyuan Zhao; Chris Biemann (ECAI, 2023)

Merging Experts into One: Improving Computational Efficiency of Mixture of Experts. - Shwai He; Run-Ze Fan; Liang Ding 006; Li Shen 008; Tianyi Zhou 001; Dacheng Tao (EMNLP, 2023)

Towards Making the Most of ChatGPT for Machine Translation. - Keqin Peng; Liang Ding 006; Qihuang Zhong; Li Shen 008; Xuebo Liu 002; Min Zhang 005; Yuanxin Ouyang; Dacheng Tao (EMNLP (Findings), 2023)

PromptST: Abstract Prompt Learning for End-to-End Speech Translation. - Tengfei Yu; Liang Ding 006; Xuebo Liu 002; Kehai Chen; Meishan Zhang; Dacheng Tao; Min Zhang 005 (EMNLP, 2023)

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. - Haoqi Zheng; Qihuang Zhong; Liang Ding 006; Zhiliang Tian; Xin Niu 002; Changjian Wang; Dongsheng Li 001; Dacheng Tao (EMNLP, 2023)

Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models. - Miaoxi Zhu; Qihuang Zhong; Li Shen 008; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (EMNLP, 2023)

FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy. - Yan Sun; Li Shen 008; Tiansheng Huang; Liang Ding 006; Dacheng Tao (ICLR, 2023)

Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape. - Yan Sun; Li Shen 008; Shixiang Chen; Liang Ding 006; Dacheng Tao (ICML, 2023)

Gapformer: Graph Transformer with Graph Pooling for Node Classification. - Chuang Liu 008; Yibing Zhan; Xueqi Ma; Liang Ding 006; Dapeng Tao; Jia Wu 001; Wenbin Hu 001 (IJCAI, 2023)

Prompt-Learning for Cross-Lingual Relation Extraction. - Chiaming Hsu; Changtong Zan; Liang Ding 006; Longyue Wang; Xiaoting Wang; Weifeng Liu 001; Fu Lin; Wenbin Hu 001 (IJCNN, 2023)

MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism. - Zheng Zhang 036; Donglin Yang; Yaqi Xia; Liang Ding 006; Dacheng Tao; Xiaobo Zhou 002; Dazhao Cheng (IPDPS, 2023)

SD-Conv: Towards the Parameter-Efficiency of Dynamic Convolution. - Shwai He; Chenbo Jiang; Daize Dong; Liang Ding 006 (WACV, 2023)

Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE. - Qihuang Zhong; Liang Ding 006; Keqin Peng; Juhua Liu; Bo Du 001; Li Shen 008; Yibing Zhan; Dacheng Tao (CoRR, 2023)

Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (CoRR, 2023)

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System. - Chao Xue; Wei Liu 005; Shuai Xie; Zhenfang Wang; Jiaxing Li; Xuyang Peng; Liang Ding 006; Shanshan Zhao 001; Qiong Cao; Yibo Yang; Fengxiang He; Bohua Cai; et al. (CoRR, 2023)

Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT. - Qingyu Lu; Baopu Qiu; Liang Ding 006; Liping Xie; Dacheng Tao (CoRR, 2023)

On Efficient Training of Large-Scale Deep Learning Models: A Literature Review. - Li Shen 008; Yan Sun; Zhiyuan Yu 004; Liang Ding 006; Xinmei Tian 001; Dacheng Tao (CoRR, 2023)

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks. - Haoqi Zheng; Qihuang Zhong; Liang Ding 006; Zhiliang Tian; Xin Niu 002; Dongsheng Li 001; Dacheng Tao (CoRR, 2023)

Recursively Summarizing Enables Long-Term Dialogue Memory in Large Language Models. - Qingyue Wang; Liang Ding 006; Yanan Cao 001; Zhiliang Tian; Shi Wang 002; Dacheng Tao; Li Guo 001 (CoRR, 2023)

MerA: Merging Pretrained Adapters For Few-Shot Learning. - Shwai He; Run-Ze Fan; Liang Ding 006; Li Shen 008; Tianyi Zhou 001; Dacheng Tao (CoRR, 2023)

Deep Model Fusion: A Survey. - Weishi Li; Yong Peng 006; Miao Zhang 037; Liang Ding 006; Han Hu 003; Li Shen 008 (CoRR, 2023)

Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation. - Changtong Zan; Liang Ding 006; Li Shen 008; Yibin Lei; Yibing Zhan; Weifeng Liu 001; Dacheng Tao (CoRR, 2023)

Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion. - Anke Tang; Li Shen 008; Yong Luo 002; Liang Ding 006; Han Hu 003; Bo Du 001; Dacheng Tao (CoRR, 2023)

Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis. - Juhua Liu; Qihuang Zhong; Liang Ding 006; Hua Jin; Bo Du 001; Dacheng Tao (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Dynamic Contrastive Distillation for Image-Text Retrieval. - Jun Rao; Liang Ding 006; Shuhan Qi; Meng Fang; Yang Liu 039; Li Shen 008; Dacheng Tao (IEEE Trans. Multim., 2023)

Recurrent graph encoder for syntax-aware neural machine translation. - Liang Ding 006; Longyue Wang; Siyou Liu (Int. J. Mach. Learn. Cybern., 2023)

KE-X: Towards subgraph explanations of knowledge graph embedding based on knowledge information gain. - Dong Zhao; Guojia Wan; Yibing Zhan; Zengmao Wang; Liang Ding 006; Zhigao Zheng 001; Bo Du 001 (Knowl. Based Syst., 2023)

Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Bo Du 001; Hua Jin; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2023)

A perioperative risk assessment dataset with multi-view data based on online accelerated pairwise comparison. - Xinyao Li; Yibing Zhan; Yanhua Zhao; Yiqiang Wu; Liang Ding 006; Yuanyuan Li; Dapeng Tao; Hua Jin (Inf. Fusion, 2023)

Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup. - Yan Sun; Li Shen 008; Hao Sun 019; Liang Ding 006; Dacheng Tao (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models. - Zhiyao Ren; Yibing Zhan; Liang Ding 006; Gaoang Wang; Chaoyue Wang; Zhongyi Fan; Dacheng Tao (AAAI, 2024)

DB-LLM: Accurate Dual-Binarization for Efficient LLMs. - Hong Chen 014; Chengtao Lv; Liang Ding 006; Haotong Qin; Xiabin Zhou; Yifu Ding; Xuebo Liu 002; Min Zhang 005; Jinyang Guo; Xianglong Liu 001; Dacheng Tao (ACL (Findings), 2024)

Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models. - Qingyu Lu; Baopu Qiu; Liang Ding 006; Kanjian Zhang; Tom Kocmi; Dacheng Tao (ACL (Findings), 2024)

POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. - Shilong Pan; Zhiliang Tian; Liang Ding 006; Haoqi Zheng; Zhen Huang 006; Zhihua Wen; Dongsheng Li 001 (ACL (1), 2024)

Revisiting Demonstration Selection Strategies in In-Context Learning. - Keqin Peng; Liang Ding 006; Yancheng Yuan; Xuebo Liu 002; Min Zhang 005; Yuanxin Ouyang; Dacheng Tao (ACL (1), 2024)

OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models. - Shuai Wang 011; Liang Ding 006; Li Shen 008; Yong Luo 002; Bo Du 001; Dacheng Tao (ACL (Findings), 2024)

Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding. - Xintong Wang 001; Jingheng Pan; Liang Ding 006; Chris Biemann (ACL (Findings), 2024)

Uncertainty Aware Learning for Language Model Alignment. - Yikun Wang; Rui Zheng; Liang Ding 006; Qi Zhang 001; Dahua Lin; Dacheng Tao (ACL (1), 2024)

Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. - Tengfei Yu; Xuebo Liu 002; Liang Ding 006; Kehai Chen; Dacheng Tao; Min Zhang 005 (ACL (1), 2024)

Revisiting Knowledge Distillation for Autoregressive Language Models. - Qihuang Zhong; Liang Ding 006; Li Shen 008; Juhua Liu; Bo Du 001; Dacheng Tao (ACL (1), 2024)

ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (ACL (Findings), 2024)

3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. - Xinyu Ma; Xuebo Liu 002; Derek F. Wong; Jun Rao; Bei Li; Liang Ding 006; Lidia S. Chao; Dacheng Tao; Min Zhang 005 (LREC/COLING, 2024)

Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction. - Ziyang Xu; Keqin Peng; Liang Ding 006; Dacheng Tao; Xiliang Lu (LREC/COLING, 2024)

Sheared Backpropagation for Fine-Tuning Foundation Models. - Zhiyuan Yu 004; Li Shen 008; Liang Ding 006; Xinmei Tian 001; Yixin Chen 001; Dacheng Tao (CVPR, 2024)

Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. - Boan Liu; Liang Ding 006; Li Shen 008; Keqin Peng; Yu Cao 014; Dazhao Cheng; Dacheng Tao (ECAI, 2024)

Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models. - Yuxuan Guo; Zhiliang Tian; Yiping Song; Tianlun Liu; Liang Ding 006; Dongsheng Li 001 (EMNLP, 2024)

Revisiting Catastrophic Forgetting in Large Language Model Tuning. - Hongyu Li; Liang Ding 006; Meng Fang; Dacheng Tao (EMNLP (Findings), 2024)

Self-Powered LLM Modality Expansion for Large Speech-Text Models. - Tengfei Yu; Xuebo Liu 002; Zhiyi Hou; Liang Ding 006; Dacheng Tao; Min Zhang 005 (EMNLP, 2024)

Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL. - Qihuang Zhong; Kunfeng Chen; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (EMNLP (Findings), 2024)

WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge. - Wenbin Wang; Liang Ding 006; Li Shen 008; Yong Luo 002; Han Hu 003; Dacheng Tao (ACM Multimedia, 2024)

InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling. - Yuchun Miao; Sen Zhang 006; Liang Ding 006; Rong Bao; Lefei Zhang; Dacheng Tao (NeurIPS, 2024)

POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation. - Shilong Pan; Zhiliang Tian; Liang Ding 006; Zhen Huang 006; Zhihua Wen; Dongsheng Li 001 (CoRR, 2024)

Intention Analysis Prompting Makes Large Language Models A Good Jailbreak Defender. - Yuqi Zhang 002; Liang Ding 006; Lefei Zhang; Dacheng Tao (CoRR, 2024)

Mitigating Reward Hacking via Information-Theoretic Reward Modeling. - Yuchun Miao; Sen Zhang 006; Liang Ding 006; Rong Bao; Lefei Zhang; Dacheng Tao (CoRR, 2024)

Healthcare Copilot: Eliciting the Power of General LLMs for Medical Consultation. - Zhiyao Ren; Yibing Zhan; Baosheng Yu; Liang Ding 006; Dacheng Tao (CoRR, 2024)

Balanced Similarity with Auxiliary Prompts: Towards Alleviating Text-to-Image Retrieval Bias for CLIP in Zero-shot Learning. - Hanyao Wang; Yibing Zhan; Liu Liu; Liang Ding 006; Jun Yu (CoRR, 2024)

Towards Training A Chinese Large Language Model for Anesthesiology. - Zhonghai Wang; Jie Jiang; Yibing Zhan; Bohao Zhou; Yanhong Li; Chong Zhang; Liang Ding 006; Hua Jin; Jun Peng; Xu Lin; Weifeng Liu 001 (CoRR, 2024)

Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning. - Changtong Zan; Liang Ding 006; Li Shen 008; Yibing Zhen; Weifeng Liu 001; Dacheng Tao (CoRR, 2024)

Achieving >97% on GSM8K: Deeply Understanding the Problems Makes LLMs Better Reasoners. - Qihuang Zhong; Kang Wang; Ziyang Xu; Juhua Liu; Liang Ding 006; Bo Du 001; Dacheng Tao (CoRR, 2024)

Demystifying the Compression of Mixture-of-Experts Through a Unified Framework. - Shwai He; Daize Dong; Liang Ding 006; Ang Li (CoRR, 2024)

Aligning Large Language Models from Self-Reference AI Feedback with one General Principle. - Rong Bao; Rui Zheng; Shihan Dou; Xiao Wang 014; Enyu Zhou; Bo Wang; Qi Zhang 001; Liang Ding 006; Dacheng Tao (CoRR, 2024)

Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. - Wenbin Wang; Liang Ding 006; Minyan Zeng; Xiabin Zhou; Li Shen 008; Yong Luo 002; Dacheng Tao (CoRR, 2024)

USCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding. - Shuai Wang 011; Liang Ding 006; Li Shen 008; Yong Luo 002; Zheng He; Wei Yu 004; Dacheng Tao (CoRR, 2024)

Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models. - Jun Rao; Xuebo Liu 002; Zepeng Lin; Liang Ding 006; Jing Li 047; Dacheng Tao; Min Zhang 005 (CoRR, 2024)

Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models. - Fei Wang 032; Li Shen 008; Liang Ding 006; Chao Xue; Ye Liu 014; Changxing Ding (CoRR, 2024)

CogSteer: Cognition-Inspired Selective Layer Intervention for Efficient Semantic Steering in Large Language Models. - Xintong Wang 001; Jingheng Pan; Longqin Jiang; Liang Ding 006; Xingshan Li; Chris Biemann (CoRR, 2024)

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs. - Xiabin Zhou; Wenbin Wang; Minyan Zeng; Jiaxian Guo; Xuebo Liu 002; Li Shen 008; Min Zhang 005; Liang Ding 006 (CoRR, 2024)

Exploring sparsity in graph transformers. - Chuang Liu 008; Yibing Zhan; Xueqi Ma; Liang Ding 006; Dapeng Tao; Jia Wu 001; Wenbin Hu 001; Bo Du 001 (Neural Networks, 2024)

Parameter-Efficient and Student-Friendly Knowledge Distillation. - Jun Rao; Xv Meng; Liang Ding 006; Shuhan Qi; Xuebo Liu 002; Min Zhang 005; Dacheng Tao (IEEE Trans. Multim., 2024)

AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. - Hao Sun 019; Li Shen 008; Qihuang Zhong; Liang Ding 006; Shixiang Chen; Jingwei Sun 001; Jing Li 047; Guangzhong Sun; Dacheng Tao (Neural Networks, 2024)

PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2024)

Free-Form Composition Networks for Egocentric Action Recognition. - Haoran Wang 001; Qinghua Cheng; Baosheng Yu; Yibing Zhan; Dapeng Tao; Liang Ding 006; Haibin Ling (IEEE Trans. Circuits Syst. Video Technol., 2024)

Comprehensive Graph Gradual Pruning for Sparse Training in Graph Neural Networks. - Chuang Liu 008; Xueqi Ma; Yibing Zhan; Liang Ding 006; Dapeng Tao; Bo Du 001; Wenbin Hu 001; Danilo P. Mandic (IEEE Trans. Neural Networks Learn. Syst., 2024)

E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation. - Qihuang Zhong; Liang Ding 006; Juhua Liu; Bo Du 001; Dacheng Tao (IEEE Trans. Knowl. Data Eng., 2024)

Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining? - Fei Wang 032; Liang Ding 006; Jun Rao; Ye Liu 014; Li Shen 008; Changxing Ding (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models. - Wenbin Wang; Liang Ding 006; Minyan Zeng; Xiabin Zhou; Li Shen 008; Yong Luo 002; Wei Yu 004; Dacheng Tao (AAAI, 2025)

Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. - Tianle Xia; Liang Ding 006; Guojia Wan; Yibing Zhan; Bo Du 001; Dacheng Tao (AAAI, 2025)

CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models. - Xintong Wang 001; Jingheng Pan; Liang Ding 006; Longyue Wang; Longqin Jiang; Xingshan Li; Chris Biemann (ACL (Findings), 2025)

Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding. - Keqin Peng; Liang Ding 006; Yuanxin Ouyang; Meng Fang; Yancheng Yuan; Dacheng Tao (ACL (2), 2025)

AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration. - Zhexuan Wang; Yutong Wang; Xuebo Liu 002; Liang Ding 006; Miao Zhang 037; Jie Liu 001; Min Zhang 005 (ACL (1), 2025)

VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search. - Yikun Wang; Siyin Wang; Qinyuan Cheng; Zhaoye Fei; Liang Ding 006; Qipeng Guo; Dacheng Tao; Xipeng Qiu (ACL (1), 2025)

Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs. - Yuchen Wu; Liang Ding 006; Li Shen 008; Dacheng Tao (ACL (Findings), 2025)

KaFT: Knowledge-aware Fine-tuning for Boosting LLMs' Domain-specific Question-Answering Performance. - Qihuang Zhong; Liang Ding 006; Xiantao Cai; Juhua Liu; Bo Du 001; Dacheng Tao (ACL (Findings), 2025)

MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators. - Qingyu Lu; Liang Ding 006; Kanjian Zhang; Jinxia Zhang; Dacheng Tao (COLING, 2025)

Self-Evolution Knowledge Distillation for LLM-based Machine Translation. - Yuncheng Song; Liang Ding 006; Changtong Zan; Shujian Huang (COLING, 2025)

Intention Analysis Makes LLMs A Good Jailbreak Defender. - Yuqi Zhang 002; Liang Ding 006; Lefei Zhang; Dacheng Tao (COLING, 2025)

Widening the bottleneck of lexical choice for non-autoregressive translation. - Liang Ding 006; Longyue Wang; Siyou Liu; Weihua Luo; Kaifu Zhang (Comput. Speech Lang., 2025)

Code-switching finetuning: Bridging multilingual pretrained language models for enhanced cross-lingual performance. - Changtong Zan; Liang Ding 006; Li Shen 008; Yu Cao 014; Weifeng Liu 001 (Eng. Appl. Artif. Intell., 2025)

Recursively summarizing enables long-term dialogue memory in large language models. - Qingyue Wang; Yanhe Fu; Yanan Cao 001; Shuai Wang 011; Zhiliang Tian; Liang Ding 006 (Neurocomputing, 2025)

Hypnos: A domain-specific large language model for anesthesiology. - Zhonghai Wang; Jie Jiang; Yibing Zhan; Bohao Zhou; Yanhong Li; Chong Zhang; Baosheng Yu; Liang Ding 006; Hua Jin; Jun Peng; Xu Lin; Weifeng Liu 001 (Neurocomputing, 2025)

Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques. - Shwai He; Daize Dong; Liang Ding 006; Ang Li (Trans. Mach. Learn. Res., 2025)

SpliceMix: A Cross-Scale and Semantic Blending Augmentation Strategy for Multi-Label Image Classification. - Lei Wang 095; Yibing Zhan; Leilei Ma 002; Dapeng Tao; Liang Ding 006; Chen Gong 002 (IEEE Trans. Multim., 2025)

Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs. - Shuai Wang 011; Liang Ding 006; Yibing Zhan; Yong Luo 002; Zheng He; Dapeng Tao (CoRR, 2025)

TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs. - Yan Sun; Tiansheng Huang; Liang Ding 006; Li Shen 008; Dacheng Tao (CoRR, 2025)

The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking. - Yuchun Miao; Sen Zhang 006; Liang Ding 006; Yuqi Zhang 002; Lefei Zhang; Dacheng Tao (CoRR, 2025)

Explicit and Implicit Box Equivariance Learning for Weakly-Supervised Rotated Object Detection. - Linfei Wang; Yibing Zhan; Xu Lin; Baosheng Yu; Liang Ding 006; Jianqing Zhu; Dapeng Tao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG. - Wenbin Wang; Yongcheng Jing; Liang Ding 006; Yingjie Wang; Li Shen 008; Yong Luo 002; Bo Du 001; Dacheng Tao (CoRR, 2025)

On Efficient Training of Large-Scale Deep Learning Models. - Li Shen 008; Yan Sun; Zhiyuan Yu 004; Liang Ding 006; Xinmei Tian 001; Dacheng Tao (ACM Comput. Surv., 2025)

Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation. - Shizhan Cai; Liang Ding 006; Dacheng Tao (CoRR, 2025)

Chinese Toxic Language Mitigation via Sentiment Polarity Consistent Rewrites. - Xintong Wang 001; Yixiao Liu; Jingheng Pan; Liang Ding 006; Longyue Wang; Chris Biemann (CoRR, 2025)

Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments. - Qingyu Lu; Liang Ding 006; Siyi Cao; Xuebo Liu 002; Kanjian Zhang; Jinxia Zhang; Dacheng Tao (CoRR, 2025)

Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning. - Qihuang Zhong; Liang Ding 006; Fei Liao; Juhua Liu; Bo Du 001; Dacheng Tao (CoRR, 2025)

Revisiting Overthinking in Long Chain-of-Thought from the Perspective of Self-Doubt. - Keqin Peng; Liang Ding 006; Yuanxin Ouyang; Meng Fang; Dacheng Tao (CoRR, 2025)

Building accurate translation-tailored large language models with language-aware instruction tuning. - Changtong Zan; Liang Ding 006; Li Shen 008; Yibing Zhan; Xinghao Yang; Weifeng Liu 001 (Frontiers Inf. Technol. Electron. Eng., 2025)

Benchmarking Medical LLMs on Anesthesiology: A Comprehensive Dataset in Chinese. - Bohao Zhou; Yibing Zhan; Zhonghai Wang; Yanhong Li; Chong Zhang; Baosheng Yu; Liang Ding 006; Hua Jin; Weifeng Liu 001; Xiongbin Wang; Dapeng Tao (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Fuzzy-Assisted Contrastive Decoding Improving Code Generation of Large Language Models. - Shuai Wang 011; Liang Ding 006; Yibing Zhan; Yong Luo 002; Shuai Liu 002; Weiping Ding 001 (IEEE Trans. Fuzzy Syst., 2025)

Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA. - Yuchen Wu; Liang Ding 006; Li Shen 008; Dacheng Tao (CoRR, 2025)

AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration. - Chunhao Tian; Yutong Wang; Xuebo Liu 002; Zhexuan Wang; Liang Ding 006; Miao Zhang 037; Min Zhang 005 (CoRR, 2025)

A Multi-Language Object-Oriented Programming Benchmark for Large Language Models. - Shuai Wang 011; Liang Ding 006; Li Shen 008; Yong Luo 002; Han Hu 003; Lefei Zhang; Fu Lin (CoRR, 2025)

Information-Theoretic Reward Modeling for Stable RLHF: Detecting and Mitigating Reward Hacking. - Yuchun Miao; Liang Ding 006; Sen Zhang 006; Rong Bao; Lefei Zhang; Dacheng Tao (CoRR, 2025)

Layer as Puzzle Pieces: Compressing Large Language Models through Layer Concatenation. - Fei Wang 032; Li Shen 008; Liang Ding 006; Chao Xue; Ye Liu 014; Changxing Ding (CoRR, 2025)

Achieving >97% on GSM8K: deeply understanding the problems makes LLMs better solvers for math word problems. - Qihuang Zhong; Kang Wang; Ziyang Xu; Liang Ding 006; Juhua Liu; Bo Du 001 (Frontiers Comput. Sci., 2026)