Rongzhi Zhang
Orcid: 0000-0002-7136-7913
According to our database1,
Rongzhi Zhang
authored at least 23 papers
between 2013 and 2024.
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Bibliography
2024
LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy.
CoRR, 2024
CoRR, 2024
TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance.
CoRR, 2024
Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
CoRR, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach.
CoRR, 2022
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
CoRR, 2022
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Adaptive Multi-view Rule Discovery for Weakly-Supervised Compatible Products Prediction.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Attributed Graph Neural Networks for Recommendation Systems on Large-Scale and Sparse Graph.
CoRR, 2021
ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification.
CoRR, 2021
CoRR, 2021
2020
Proceedings of the Knowledge Science, Engineering and Management, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2017
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
2013