Rongzhi Zhang

Orcid: 0000-0002-7136-7913

According to our database1, Rongzhi Zhang authored at least 19 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models.
CoRR, 2024

TPD: Enhancing Student Language Model Reasoning via Principle Discovery and Guidance.
CoRR, 2024

2023
Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation.
CoRR, 2023

Local Boosting for Weakly-Supervised Learning.
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

Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
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

Knowledge-enhanced Session-based Recommendation with Temporal Transformer.
CoRR, 2021

2020
Robust Sequence Embedding for Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2020

SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Improving Multi-turn Dialogue Modelling with Utterance ReWriter.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017
Collaborative Sequence Prediction for Sequential Recommender.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2013
PMTED: a plant microRNA target expression database.
BMC Bioinform., 2013


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