Researches of Optimum Leaf Area Index Dynamicmodels for Rape(Brassica napus L.). - Hongxin Cao; Chunlei Zhang; Guangming Li; Baojun Zhang; Suolao Zhao; Baoqing Wang; Zhiqing Jin; Dawei Zhu; Juanjuan Zhu; Xiufang Wei (CCTA (3), 2008)

Research and Application of Cultivation-Simulation-Optimization Decision Making System for Rapeseed (Brassica Napus L.). - Hongxin Cao; Chunlei Zhang; Baojun Zhang; Suolao Zhao; Daokuo Ge; Baoqing Wang; Chuanbao Zhu; David B. Hannaway; Dawei Zhu; Juanjuan Zhu; Jingying Sun; Yan Liu 048; et al. (CCTA (2), 2010)

A Two-Stage Blind Image Color Correction Using Color Cast Estimation. - Dawei Zhu; Li Chen 011; Jing Tian 002; Xiaotong Huang (CCPR (2), 2014)

Dust particle detection in traffic surveillance video using motion singularity analysis. - Li Chen 011; Dawei Zhu; Jing Tian 002; Jiaxiang Liu 003 (Digit. Signal Process., 2016)

Energy Efficiency Optimization and Comparison for One-Way and Two-Way Decode-and-Forward Relay Systems. - Jie Yang 042; Xuehong Cao; Rui Chen 009; Dawei Zhu (J. Commun., 2016)

A Novel Efficient WLP-Based BOR FDTD Method With Explicit Treating Ideology. - Dawei Zhu; Hai-Lin Chen; Jie Yang 042; Yun Yi; Bin Chen (IEEE Access, 2019)

Image Manipulation with Natural Language using Two-sidedAttentive Conditional Generative Adversarial Network. - Dawei Zhu; Aditya Mogadala; Dietrich Klakow (CoRR, 2019)

An End-to-End Dialogue State Tracking System with Machine Reading Comprehension and Wide & Deep Classification. - Yue Ma; Zengfeng Zeng; Dawei Zhu; Xuan Li; Yiying Yang; Xiaoyuan Yao; Kaijie Zhou; Jianping Shen (CoRR, 2019)

Transfer Learning and Distant Supervision for Multilingual Transformer Models: A Study on African Languages. - Michael A. Hedderich; David Ifeoluwa Adelani; Dawei Zhu; Jesujoba O. Alabi; Udia Markus; Dietrich Klakow (EMNLP (1), 2020)

Distant Supervision and Noisy Label Learning for Low Resource Named Entity Recognition: A Study on Hausa and Yorùbá. - David Ifeoluwa Adelani; Michael A. Hedderich; Dawei Zhu; Esther van den Berg; Dietrich Klakow (AfricaNLP, 2020)

Deep learning for real-time image steganalysis: a survey. - Feng Ruan; Xing Zhang 007; Dawei Zhu; Zhanyang Xu; Shaohua Wan 001; Lianyong Qi (J. Real Time Image Process., 2020)

Analysing the Noise Model Error for Realistic Noisy Label Data. - Michael A. Hedderich; Dawei Zhu; Dietrich Klakow (AAAI, 2021)

Neural Data-to-Text Generation with LM-based Text Augmentation. - Ernie Chang; Xiaoyu Shen 001; Dawei Zhu; Vera Demberg; Hui Su (EACL, 2021)

Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression. - Fech Scen Khoo; Dawei Zhu; Michael A. Hedderich; Dietrich Klakow (ESANN, 2021)

ROXANNE Research Platform: Automate Criminal Investigations. - Maël Fabien; Shantipriya Parida; Petr Motlícek; Dawei Zhu; Aravind Krishnan; Hoang H. Nguyen (Interspeech, 2021)

The Defects and Improvements of the Internal Control Audit in Chinese Universities with respect to the Probabilistic Hesitant Fuzzy Environment. - Jingjuan Zhu; Ling Xu; Yunzhong Liu; Dawei Zhu; Liangliang Chen (Complex., 2021)

GraphPrompt: Biomedical Entity Normalization Using Graph-based Prompt Templates. - Jiayou Zhang; Zhirui Wang; Shizhuo Zhang; Megh Manoj Bhalerao; Yucong Liu; Dawei Zhu; Sheng Wang 012 (CoRR, 2021)

Image manipulation with natural language using Two-sided Attentive Conditional Generative Adversarial Network. - Dawei Zhu; Aditya Mogadala; Dietrich Klakow (Neural Networks, 2021)

Cognitive Analytics of Social Media Services for Edge Resource Pre-Allocation in Industrial Manufacturing. - Dawei Zhu; Zhanyang Xu; Xiaolong Xu 001; Qingzhan Zhao; Lianyong Qi; Gautam Srivastava 001 (IEEE Trans. Comput. Soc. Syst., 2021)

Concurrent Practical Byzantine Fault Tolerance for Integration of Blockchain and Supply Chain. - Xiaolong Xu 001; Dawei Zhu; Xiaoxian Yang; Shuo Wang 026; Lianyong Qi; Wanchun Dou (ACM Trans. Internet Techn., 2021)

Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification. - Dawei Zhu; Michael A. Hedderich; Fangzhou Zhai; David Ifeoluwa Adelani; Dietrich Klakow (Insights@ACL, 2022)

ConFiguRe: Exploring Discourse-level Chinese Figures of Speech. - Dawei Zhu; Qiusi Zhan; Zhejian Zhou; Yifan Song 002; Jiebin Zhang; Sujian Li (COLING, 2022)

Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages. - Dawei Zhu; Michael A. Hedderich; Fangzhou Zhai; David Ifeoluwa Adelani; Dietrich Klakow (CoRR, 2022)

Splitting and placement of data-intensive applications with machine learning for power system in cloud computing. - Zhanyang Xu; Dawei Zhu; Jinhui Chen; Baohua Yu (Digit. Commun. Networks, 2022)

Edge Task Migration With 6G-Enabled Network in Box for Cybertwin-Based Internet of Vehicles. - Dawei Zhu; Muhammad Bilal 003; Xiaolong Xu 001 (IEEE Trans. Ind. Informatics, 2022)

GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction. - Hanwen Xu; Jiayou Zhang; Zhirui Wang; Shizhuo Zhang; Megh Bhalerao; Yucong Liu; Dawei Zhu; Sheng Wang 012 (AAAI, 2023)

Weaker Than You Think: A Critical Look at Weakly Supervised Learning. - Dawei Zhu; Xiaoyu Shen 001; Marius Mosbach; Andreas Stephan; Dietrich Klakow (ACL (1), 2023)

Meta Self-Refinement for Robust Learning with Weak Supervision. - Dawei Zhu; Xiaoyu Shen 001; Michael A. Hedderich; Dietrich Klakow (EACL, 2023)

InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. - Yifan Song 002; Peiyi Wang; Weimin Xiong; Dawei Zhu; Tianyu Liu 001; Zhifang Sui; Sujian Li (EMNLP (Findings), 2023)

DocRED-FE: A Document-Level Fine-Grained Entity and Relation Extraction Dataset. - Hongbo Wang; Weimin Xiong; Yifan Song 002; Dawei Zhu; Yu Xia; Sujian Li (ICASSP, 2023)

Probing Bilingual Guidance for Cross-Lingual Summarization. - Dawei Zhu; Wenhao Wu; Sujian Li (NLPCC (1), 2023)

Improved ADI Iterative Algorithm With Gauss-Seidel Ideology for Efficient WLP-FDTD Method in 3-D Cylindrical Coordinate System. - Dawei Zhu; Hai-Lin Chen; Jiachen Xu; Bo-Ao Xu; Li Zhen (IEEE Access, 2023)

RepCL: Exploring Effective Representation for Continual Text Classification. - Yifan Song 002; Peiyi Wang; Dawei Zhu; Tianyu Liu 001; Zhifang Sui; Sujian Li (CoRR, 2023)

Weaker Than You Think: A Critical Look atWeakly Supervised Learning. - Dawei Zhu; Xiaoyu Shen 001; Marius Mosbach; Andreas Stephan; Dietrich Klakow (CoRR, 2023)

Large Language Models are not Fair Evaluators. - Peiyi Wang; Lei Li 039; Liang Chen 024; Dawei Zhu; Binghuai Lin; Yunbo Cao; Qi Liu 049; Tianyu Liu 001; Zhifang Sui (CoRR, 2023)

RestGPT: Connecting Large Language Models with Real-World Applications via RESTful APIs. - Yifan Song 002; Weimin Xiong; Dawei Zhu; Cheng Li; Ke Wang; Ye Tian; Sujian Li (CoRR, 2023)

LawBench: Benchmarking Legal Knowledge of Large Language Models. - Zhiwei Fei; Xiaoyu Shen 001; Dawei Zhu; Fengzhe Zhou; Zhuo Han; Songyang Zhang; Kai Chen 026; Zongwen Shen; Jidong Ge (CoRR, 2023)

Large Language Models are not Fair Evaluators. - Peiyi Wang; Lei Li 039; Liang Chen 024; Zefan Cai; Dawei Zhu; Binghuai Lin; Yunbo Cao; Lingpeng Kong; Qi Liu 049; Tianyu Liu 001; Zhifang Sui (ACL (1), 2024)

The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models. - Yanjun Chen 001; Dawei Zhu; Yirong Sun; Xinghao Chen 009; Wei Zhang 185; Xiaoyu Shen 001 (EMNLP, 2024)

LawBench: Benchmarking Legal Knowledge of Large Language Models. - Zhiwei Fei; Xiaoyu Shen 001; Dawei Zhu; Fengzhe Zhou; Zhuo Han; Alan Huang; Songyang Zhang; Kai Chen 026; Zhixin Yin; Zongwen Shen; Jidong Ge; Vincent Ng 001 (EMNLP, 2024)

To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models. - Junyan Lin; Haoran Chen; Dawei Zhu; Xiaoyu Shen 001 (EMNLP, 2024)

Assessing "Implicit" Retrieval Robustness of Large Language Models. - Xiaoyu Shen 001; Rexhina Blloshmi; Dawei Zhu; Jiahuan Pei; Wei Zhang 185 (EMNLP, 2024)

AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories. - Yifan Song 002; Weimin Xiong; Xiutian Zhao; Dawei Zhu; Wenhao Wu; Ke Wang; Cheng Li; Wei Peng 011; Sujian Li (EMNLP (Findings), 2024)

Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice? - Dawei Zhu; Pinzhen Chen; Miaoran Zhang; Barry Haddow; Xiaoyu Shen 001; Dietrich Klakow (EMNLP, 2024)

LongEmbed: Extending Embedding Models for Long Context Retrieval. - Dawei Zhu; Liang Wang 046; Nan Yang 002; Yifan Song 002; Wenhao Wu; Furu Wei; Sujian Li (EMNLP, 2024)

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training. - Dawei Zhu; Nan Yang 002; Liang Wang 046; Yifan Song 002; Wenhao Wu; Furu Wei; Sujian Li (ICLR, 2024)

A Preference-driven Paradigm for Enhanced Translation with Large Language Models. - Dawei Zhu; Sony Trenous; Xiaoyu Shen 001; Dietrich Klakow; Bill Byrne; Eva Hasler (NAACL-HLT, 2024)

CoUDA: Coherence Evaluation via Unified Data Augmentation. - Dawei Zhu; Wenhao Wu; Yifan Song 002; Fangwei Zhu; Ziqiang Cao; Sujian Li (NAACL-HLT, 2024)

ROXSD: The ROXANNE Multimodal and Simulated Dataset for Advancing Criminal Investigations. - Petr Motlícek; Erinç Dikici; Srikanth R. Madikeri; Pradeep Rangappa; Miroslav Jánosík; Gerhard Backfried; Dorothea Thomas-Aniola; Maximilian Schürz; Johan Rohdin; Petr Schwarz; Marek Kovác; Kvetoslav Malý; et al. (Odyssey, 2024)

Retrieval-based Full-length Wikipedia Generation for Emergent Events. - Jiebin Zhang; Eugene J. Yu; Qinyu Chen; Chenhao Xiong; Dawei Zhu; Han Qian; Mingbo Song; Xiaoguang Li; Qun Liu 001; Sujian Li (CoRR, 2024)

Long Context Alignment with Short Instructions and Synthesized Positions. - Wenhao Wu; Yizhong Wang; Yao Fu; Xiang Yue; Dawei Zhu; Sujian Li (CoRR, 2024)

InternLM-Law: An Open Source Chinese Legal Large Language Model. - Zhiwei Fei; Songyang Zhang; Xiaoyu Shen 001; Dawei Zhu; Xiao Wang 042; Maosong Cao; Fengzhe Zhou; Yining Li; Wenwei Zhang; Dahua Lin; Kai Chen 026; Jidong Ge (CoRR, 2024)

From Calculation to Adjudication: Examining LLM judges on Mathematical Reasoning Tasks. - Andreas Stephan; Dawei Zhu; Matthias Aßenmacher; Xiaoyu Shen 001; Benjamin Roth 001 (CoRR, 2024)

To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models. - Junyan Lin; Haoran Chen; Dawei Zhu; Xiaoyu Shen (CoRR, 2024)

Instruction-Tuned LLMs Succeed in Document-Level MT Without Fine-Tuning - But BLEU Turns a Blind Eye. - Yirong Sun; Dawei Zhu; Yanjun Chen 001; Erjia Xiao; Xinghao Chen 009; Xiaoyu Shen 001 (CoRR, 2024)

More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression. - Jiebin Zhang; Dawei Zhu; Yifan Song 002; Wenhao Wu; Chuqiao Kuang; Xiaoguang Li; Lifeng Shang; Qun Liu 001; Sujian Li (CoRR, 2024)

Robust Pronoun Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased? - Vagrant Gautam; Eileen Bingert; Dawei Zhu; Anne Lauscher; Dietrich Klakow (Trans. Assoc. Comput. Linguistics, 2024)

LongAttn: Selecting Long-context Training Data via Token-level Attention. - Longyun Wu; Dawei Zhu; Guangxiang Zhao; Zhuocheng Yu; Junfeng Ran; Xiangyu Wong; Lin Sun; Sujian Li (ACL (Findings), 2025)

Hierarchical Memory Organization for Wikipedia Generation. - Eugene J. Yu; Dawei Zhu; Yifan Song 002; Xiangyu Wong; Jiebin Zhang; Wenxuan Shi; Xiaoguang Li; Qun Liu 001; Sujian Li (ACL (1), 2025)

InternLM-Law: An Open-Sourced Chinese Legal Large Language Model. - Zhiwei Fei; Songyang Zhang; Xiaoyu Shen 001; Dawei Zhu; Xiao Wang 042; Jidong Ge; Vincent Ng 001 (COLING, 2025)

EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detection. - Zheng Li; Sujian Li; Dawei Zhu; Qilong Ma; Weimin Xiong (COLING, 2025)

WIKIGENBENCH: Exploring Full-length Wikipedia Generation under Real-World Scenario. - Jiebin Zhang; Eugene J. Yu; Qinyu Chen; Chenhao Xiong; Dawei Zhu; Han Qian; Mingbo Song; Weimin Xiong; Xiaoguang Li; Qun Liu 001; Sujian Li (COLING, 2025)

Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation. - Yirong Sun; Dawei Zhu; Yanjun Chen 001; Erjia Xiao; Xinghao Chen 009; Xiaoyu Shen 001 (NAACL (Student Research Workshop), 2025)

Autocrime - open multimodal platform for combating organized crime. - Srikanth R. Madikeri; Petr Motlícek; Dairazalia Sanchez-Cortes; Pradeep Rangappa; Joshua Hughes; Jakub Tkaczuk; Alejandra Sanchez Lara; Driss Khalil; Johan Rohdin; Dawei Zhu; Aravind Krishnan; Dietrich Klakow; et al. (Forensic Sci. Int. Digit. Investig., 2025)

RDFS-TDC: Robust discriminant feature selection based on improved trace difference criterion. - Libo Yang; Dawei Zhu; Xuemei Liu; Feiping Nie 001 (Inf. Sci., 2025)

AFRIDOC-MT: Document-level MT Corpus for African Languages. - Jesujoba O. Alabi; Israel Abebe Azime; Miaoran Zhang; Cristina España-Bonet; Rachel Bawden; Dawei Zhu; David Ifeoluwa Adelani; Clement Odoje; Idris Akinade; Iffat Maab; Davis David; Shamsuddeen Hassan Muhammad; et al. (CoRR, 2025)

MMTEB: Massive Multilingual Text Embedding Benchmark. - Kenneth C. Enevoldsen; Isaac Chung; Imene Kerboua; Márton Kardos; Ashwin Mathur; David Stap; Jay Gala; Wissam Siblini; Dominik Krzeminski; Genta Indra Winata; Saba Sturua; Saiteja Utpala; et al. (CoRR, 2025)

LongAttn: Selecting Long-context Training Data via Token-level Attention. - Longyun Wu; Dawei Zhu; Guangxiang Zhao; Zhuocheng Yu; Junfeng Ran; Xiangyu Wong; Lin Sun 010; Sujian Li (CoRR, 2025)

Chain-of-Thought Matters: Improving Long-Context Language Models with Reasoning Path Supervision. - Dawei Zhu; Xiyu Wei; Guangxiang Zhao; Wenhao Wu; Haosheng Zou; Junfeng Ran; Xun Wang; Lin Sun 010; Xiangzheng Zhang; Sujian Li (CoRR, 2025)

A Comprehensive Survey on Long Context Language Modeling. - Jiaheng Liu; Dawei Zhu; Zhiqi Bai; Yancheng He; Huanxuan Liao; Haoran Que; Zekun Wang; Chenchen Zhang; Ge Zhang 009; Jiebin Zhang; Yuanxing Zhang; Zhuo Chen; et al. (CoRR, 2025)

Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Models. - Tobias Domhan; Dawei Zhu (CoRR, 2025)

MiMo: Unlocking the Reasoning Potential of Language Model - From Pretraining to Posttraining. - Bingquan Xia; Bowen Shen; Cici; Dawei Zhu; Di Zhang; Gang Wang; Hailin Zhang 001; Huaqiu Liu; Jiebao Xiao; Jinhao Dong; Liang Zhao; Peidian Li; et al. (CoRR, 2025)

Language models can learn implicit multi-hop reasoning, but only if they have lots of training data. - Yuekun Yao; Yupei Du; Dawei Zhu; Michael Hahn 001; Alexander Koller (CoRR, 2025)

MiMo-VL Technical Report. - Zihao Yue; Zhenru Lin; Yifan Song; Weikun Wang; Shuhuai Ren; Shuhao Gu; Shicheng Li; Peidian Li; Liang Zhao; Lei Li; Kainan Bao; Hao Tian 006; et al. (CoRR, 2025)

PLD: A Choice-Theoretic List-Wise Knowledge Distillation. - Ejafa Bassam; Dawei Zhu; Kaigui Bian (CoRR, 2025)

A Survey on Latent Reasoning. - Ruijie Zhu 003; Tianhao Peng; Tianhao Cheng; Xingwei Qu; Jinfa Huang; Dawei Zhu; Hao Wang; Kaiwen Xue; Xuanliang Zhang; Yong Shan; Tianle Cai; Taylor Kergan; et al. (CoRR, 2025)

MultiJustice: A Chinese Dataset for Multi-Party, Multi-Charge Legal Prediction. - Xiao Wang; Jiahuan Pei; Diancheng Shui; Zhiguang Han; Xin Sun; Dawei Zhu; Xiaoyu Shen (CoRR, 2025)