| Seqmix: Augmenting active sequence labeling via sequence mixup R Zhang, Y Yu, C Zhang EMNLP 2020, 8566-8579, 2020 | 79 | 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 | 51 | 2022 |
| Actune: 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 …, 2022 | 44* | 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 | 24 | 2023 |
| 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 arXiv preprint arXiv:2209.06995, 2022 | 19 | 2022 |
| Cold-start data selection for better few-shot language model fine-tuning: A prompt-based uncertainty propagation approach Y Yu, R Zhang, R Xu, J Zhang, J Shen, C Zhang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 15 | 2023 |
| Do not blindly imitate the teacher: Using perturbed loss for knowledge distillation 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 …, 2023 | 13 | 2023 |
| 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 | 4 | 2022 |
| 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 | 3 | 2023 |
| 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 | 2 | 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, ... arXiv preprint arXiv:2406.05954, 2024 | 1 | 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 | 1 | 2024 |
| 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 | | 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 arXiv preprint arXiv:2401.13849, 2024 | | 2024 |
Chao ZhangAssistant Professor at College of Computing, Georgia TechVerified email at gatech.edu
