| Seqmix: Augmenting active sequence labeling via sequence mixup R Zhang, Y Yu, C Zhang EMNLP 2020, 8566-8579, 2020 | 88 | 2020 |
| PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning R Zhang, Y Yu, P Shetty, L Song, C Zhang ACL 2022, 745-758, 2022 | 57 | 2022 |
| Cold-start data selection for few-shot language model fine-tuning: A prompt-based uncertainty propagation approach Y Yu, R Zhang, R Xu, J Zhang, J Shen, C Zhang ACL 2023, 2499–2521, 2022 | 39 | 2022 |
| Regen: Zero-shot text classification via training data generation with progressive dense retrieval Y Yu, Y Zhuang, R Zhang, Y Meng, J Shen, C Zhang Findings of ACL 2023, 2023 | 30 | 2023 |
| AcTune: uncertainty-based active self-training for active fine-tuning of pretrained language models Y Yu, L Kong, J Zhang, R Zhang, C Zhang NAACL 2022, 1422-1436, 2022 | 27* | 2022 |
| Uncertainty-based active self-training for active fine-tuning of pretrained language models Y Yu, L Kong, J Zhang, R Zhang, C Zhang Proceedings of the 2022 Conference of the North American Chapter of the …, 0 | 25* | |
| Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher R Zhang, J Shen, T Liu, J Liu, M Bendersky, M Najork, C Zhang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 15* | 2024 |
| Aligning Large Language Models with Representation Editing: A Control Perspective L Kong, H Wang, W Mu, Y Du, Y Zhuang, Y Zhou, Y Song, R Zhang, ... NeurIPS 2024, 2024 | 12* | 2024 |
| PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs R Zhang, J Shen, T Liu, H Wang, Z Qin, F Han, J Liu, S Baumgartner, ... Findings of ACL 2024, 2024 | 5 | 2024 |
| ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models Y Heng, C Deng, Y Li, Y Yu, Y Li, R Zhang, C Zhang Findings of ACL 2024, 2024 | 5 | 2024 |
| Adaptive multi-view rule discovery for weakly-supervised compatible products prediction R Zhang, R West, X Cui, C Zhang Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 5 | 2022 |
| Lorc: Low-rank compression for llms kv cache with a progressive compression strategy R Zhang, K Wang, L Liu, S Wang, H Cheng, C Zhang, Y Shen arXiv preprint arXiv:2410.03111, 2024 | 4 | 2024 |
| TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance H Wang, R Zhang, Y Li, L Kong, Y Zhuang, X Chen, C Zhang COLM 2024, 2024 | 4* | 2024 |
| Local boosting for weakly-supervised learning R Zhang, Y Yu, J Shen, X Cui, C Zhang Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 4 | 2023 |
| Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training Y Zhuang, J Yang, H Jiang, X Liu, K Cheng, S Lokegaonkar, Y Gao, ... arXiv preprint arXiv:2502.06589, 2025 | | 2025 |
Chao ZhangAssistant Professor at College of Computing, Georgia Tech在 gatech.edu 的电子邮件经过验证