Ruohong Zhang

According to our database, Ruohong Zhang authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM.

Ruohong Zhang, Yau-Shian Wang, Yiming Yang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest.

Ruohong Zhang, Luyu Gao, Chen Zheng, Zhen Fan, Guokun Lai, Zheng Zhang, Fangzhou Ai, Yiming Yang, Hongxia Yang

CoRR, 2023

SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents.

Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap

CoRR, 2023

Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-tuned GPT.

Ruohong Zhang, Yau-Shian Wang, Yiming Yang

CoRR, 2023

Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions.

Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification.

Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions.

Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei

CoRR, 2022

Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification.

Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Tom Vu, Likun Lei

CoRR, 2022

2021

Knowledge Embedding Based Graph Convolutional Network.

Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Generalized Multi-Relational Graph Convolution Network.

Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu

CoRR, 2020

Explainable Unsupervised Change-point Detection via Graph Neural Networks.

Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang

CoRR, 2020

Graph-Revised Convolutional Network.

Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Correlation-Aware Change-Point Detection via Graph Neural Networks.

Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang

Proceedings of the Neural Information Processing - 27th International Conference, 2020

Learning Relation Entailment with Structured and Textual Information.

Zhengbao Jiang, Jun Araki, Donghan Yu, Ruohong Zhang, Wei Xu, Yiming Yang, Graham Neubig

Proceedings of the Conference on Automated Knowledge Base Construction, 2020