Rongzhi Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
6
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Instant Personalized Large Language Model Adaptation via Hypernetwork. | Zhaoxuan Tan, Zixuan Zhang, Haoyang Wen, Zheng Li, Rongzhi Zhang, Pei Chen, Fengran Mo, Zheyuan Liu, Qingkai Zeng, Qingyu Yin, Meng Jiang |
| 2025 | EMNLP | DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment. | Rongzhi Zhang, Chenwei Zhang, Xinyang Zhang, Liang Qiu, Haoming Jiang, Yuchen Zhuang, Qingru Zhang, Hyokun Yun, Xian Li, Bing Yin, Tuo Zhao, Chao Zhang |
| 2025 | NAACL | Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. | Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang |
| 2024 | ACL | ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models. | Yuzhao Heng, Chunyuan Deng, Yitong Li, Yue Yu, Yinghao Li, Rongzhi Zhang, Chao Zhang |
| 2024 | ACL | PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. | Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang |
| 2024 | KDD | Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. | Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang |
| 2023 | ACL | Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. | Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang |
| 2023 | ACL | ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. | Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang |
| 2023 | KDD | Local Boosting for Weakly-Supervised Learning. | Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang |
| 2022 | ACL | Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. | Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang |
| 2022 | KDD | Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction. | Rongzhi Zhang, Rebecca West, Xiquan Cui, Chao Zhang |
| 2022 | NAACL | AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. | Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang |
| 2020 | EMNLP | SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup. | Rongzhi Zhang, Yue Yu, Chao Zhang |
| 2020 | KSEM | Robust Sequence Embedding for Recommendation. | Rongzhi Zhang, Shuzi Niu, Yucheng Li |
| 2019 | ACL | Improving Multi-turn Dialogue Modelling with Utterance ReWriter. | Hui Su, Xiaoyu Shen, Rongzhi Zhang, Fei Sun, Pengwei Hu, Cheng Niu, Jie Zhou |
| 2017 | CIKM | Collaborative Sequence Prediction for Sequential Recommender. | Shuzi Niu, Rongzhi Zhang |