Dawei Zhu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
38
Venues
11
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
38 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | PsyPath: Psychologically-guided Self-Exploration for Personality Detection. | Zheng Li, Hongxin Ding, Chenyu Zhang, Weimin Xiong, Dawei Zhu, Sujian Li |
| 2026 | ACL | What Does LLM Refinement Actually Improve? A Systematic Study on Document-Level Literary Translation. | Shaomu Tan, Dawei Zhu, Ke Tran, Michael J. Denkowski, Sony Trenous, Leonardo F. R. Ribeiro, Bill Byrne, Felix Hieber |
| 2026 | ACL | DocLens: A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding. | Dawei Zhu, Rui Meng, Jiefeng Chen, Sujian Li, Tomas Pfister, Jinsung Yoon |
| 2025 | ACL | 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 |
| 2025 | ACL | Hierarchical Memory Organization for Wikipedia Generation. | Eugene J. Yu, Dawei Zhu, Yifan Song, Xiangyu Wong, Jiebin Zhang, Wenxuan Shi, Xiaoguang Li, Qun Liu, Sujian Li |
| 2025 | COLING | InternLM-Law: An Open-Sourced Chinese Legal Large Language Model. | Zhiwei Fei, Songyang Zhang, Xiaoyu Shen, Dawei Zhu, Xiao Wang, Jidong Ge, Vincent Ng |
| 2025 | COLING | EERPD: Leveraging Emotion and Emotion Regulation for Improving Personality Detection. | Zheng Li, Sujian Li, Dawei Zhu, Qilong Ma, Weimin Xiong |
| 2025 | COLING | 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, Sujian Li |
| 2025 | ECAI | Router Upcycling: Leveraging Mixture-of-Routers in Mixture-of-Experts Upcycling. | Junfeng Ran, Guangxiang Zhao, Yuhan Wu, Dawei Zhu, Longyun Wu, Yikai Zhao, Tong Yang, Lin Sun, Xiangzheng Zhang, Sujian Li |
| 2025 | EMNLP | AFRIDOC-MT: Document-level MT Corpus for African Languages. | Jesujoba Oluwadara Alabi, Israel Abebe Azime, Miaoran Zhang, Cristina Espaa-Bonet, Rachel Bawden, Dawei Zhu, David Ifeoluwa Adelani, Clement Odoje, Idris Akinade, Iffat Maab, Davis David, Shamsuddeen Hassan Muhammad, Neo Putini, David O. Ademuyiwa, Andrew Caines, Dietrich Klakow |
| 2025 | EMNLP | Same evaluation, more tokens: On the effect of input length for machine translation evaluation using Large Language Models. | Tobias Domhan, Dawei Zhu |
| 2025 | EMNLP | PricingLogic: Evaluating LLMs Reasoning on Complex Tourism Pricing Tasks. | Yunuo Liu, Dawei Zhu, Zena Al-Khalili, Dai Cheng, Yanjun Chen, Dietrich Klakow, Wei Zhang, Xiaoyu Shen |
| 2025 | EMNLP | 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, Alexander Koller |
| 2025 | EMNLP | More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression. | Jiebin Zhang, Dawei Zhu, Yifan Song, Wenhao Wu, Chuqiao Kuang, Xiaoguang Li, Lifeng Shang, Qun Liu, Sujian Li |
| 2025 | EMNLP | 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, Xiangzheng Zhang, Sujian Li |
| 2025 | NAACL | Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation. | Yirong Sun, Dawei Zhu, Yanjun Chen, Erjia Xiao, Xinghao Chen, Xiaoyu Shen |
| 2024 | ACL | Large Language Models are not Fair Evaluators. | Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui |
| 2024 | EMNLP | The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models. | Yanjun Chen, Dawei Zhu, Yirong Sun, Xinghao Chen, Wei Zhang, Xiaoyu Shen |
| 2024 | EMNLP | LawBench: Benchmarking Legal Knowledge of Large Language Models. | Zhiwei Fei, Xiaoyu Shen, Dawei Zhu, Fengzhe Zhou, Zhuo Han, Alan Huang, Songyang Zhang, Kai Chen, Zhixin Yin, Zongwen Shen, Jidong Ge, Vincent Ng |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | Assessing "Implicit" Retrieval Robustness of Large Language Models. | Xiaoyu Shen, Rexhina Blloshmi, Dawei Zhu, Jiahuan Pei, Wei Zhang |
| 2024 | EMNLP | AgentBank: Towards Generalized LLM Agents via Fine-Tuning on 50000+ Interaction Trajectories. | Yifan Song, Weimin Xiong, Xiutian Zhao, Dawei Zhu, Wenhao Wu, Ke Wang, Cheng Li, Wei Peng, Sujian Li |
| 2024 | EMNLP | 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, Dietrich Klakow |
| 2024 | EMNLP | LongEmbed: Extending Embedding Models for Long Context Retrieval. | Dawei Zhu, Liang Wang, Nan Yang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li |
| 2024 | ICLR | PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training. | Dawei Zhu, Nan Yang, Liang Wang, Yifan Song, Wenhao Wu, Furu Wei, Sujian Li |
| 2024 | NAACL | A Preference-driven Paradigm for Enhanced Translation with Large Language Models. | Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler |
| 2024 | NAACL | CoUDA: Coherence Evaluation via Unified Data Augmentation. | Dawei Zhu, Wenhao Wu, Yifan Song, Fangwei Zhu, Ziqiang Cao, Sujian Li |
| 2023 | AAAI | 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 |
| 2023 | ACL | Weaker Than You Think: A Critical Look at Weakly Supervised Learning. | Dawei Zhu, Xiaoyu Shen, Marius Mosbach, Andreas Stephan, Dietrich Klakow |
| 2023 | EACL | Meta Self-Refinement for Robust Learning with Weak Supervision. | Dawei Zhu, Xiaoyu Shen, Michael A. Hedderich, Dietrich Klakow |
| 2023 | EMNLP | InfoCL: Alleviating Catastrophic Forgetting in Continual Text Classification from An Information Theoretic Perspective. | Yifan Song, Peiyi Wang, Weimin Xiong, Dawei Zhu, Tianyu Liu, Zhifang Sui, Sujian Li |
| 2023 | ICASSP | DocRED-FE: A Document-Level Fine-Grained Entity and Relation Extraction Dataset. | Hongbo Wang, Weimin Xiong, Yifan Song, Dawei Zhu, Yu Xia, Sujian Li |
| 2022 | COLING | ConFiguRe: Exploring Discourse-level Chinese Figures of Speech. | Dawei Zhu, Qiusi Zhan, Zhejian Zhou, Yifan Song, Jiebin Zhang, Sujian Li |
| 2021 | AAAI | Analysing the Noise Model Error for Realistic Noisy Label Data. | Michael A. Hedderich, Dawei Zhu, Dietrich Klakow |
| 2021 | EACL | Neural Data-to-Text Generation with LM-based Text Augmentation. | Ernie Chang, Xiaoyu Shen, Dawei Zhu, Vera Demberg, Hui Su |
| 2021 | ESANN | Estimating Formulas for Model Performance Under Noisy Labels Using Symbolic Regression. | Fech Scen Khoo, Dawei Zhu, Michael A. Hedderich, Dietrich Klakow |
| 2021 | Interspeech | ROXANNE Research Platform: Automate Criminal Investigations. | Mal Fabien, Shantipriya Parida, Petr Motlcek, Dawei Zhu, Aravind Krishnan, Hoang H. Nguyen |
| 2020 | EMNLP | 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 |