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ORCIDRuohong Zhang
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2020 – today
- 2024
[c8]Ruohong Zhang, Yau-Shian Wang, Yiming Yang:
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM. EACL (1) 2024: 659-673- [c7]Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap:
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. ICLR 2024 - [i10]Ruohong Zhang, Liangke Gui, Zhiqing Sun, Yihao Feng, Keyang Xu, Yuanhan Zhang, Di Fu, Chunyuan Li, Alexander Hauptmann, Yonatan Bisk, Yiming Yang:
Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward. CoRR abs/2404.01258 (2024) - 2023
- [c6]Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang:
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification. ACL (1) 2023: 14897-14911 - [c5]Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei:
Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions. EACL (Findings) 2023: 1062-1076 - [i9]Ruohong Zhang, Yau-Shian Wang, Yiming Yang:
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-tuned GPT. CoRR abs/2304.11872 (2023) - [i8]Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang:
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification. CoRR abs/2305.14963 (2023) - [i7]Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap:
SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents. CoRR abs/2310.11667 (2023) - [i6]Ruohong Zhang, Luyu Gao, Chen Zheng, Zhen Fan, Guokun Lai, Zheng Zhang, Fangzhou Ai, Yiming Yang, Hongxia Yang:
A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest. CoRR abs/2311.10614 (2023) - 2022
- [i5]Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Tom Vu, Likun Lei:
Exploiting Local and Global Features in Transformer-based Extreme Multi-label Text Classification. CoRR abs/2204.00933 (2022) - [i4]Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei:
Long-tailed Extreme Multi-label Text Classification with Generated Pseudo Label Descriptions. CoRR abs/2204.00958 (2022) - 2021
- [c4]Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu:
Knowledge Embedding Based Graph Convolutional Network. WWW 2021: 1619-1628 - 2020
- [c3]Zhengbao Jiang, Jun Araki, Donghan Yu, Ruohong Zhang, Wei Xu, Yiming Yang, Graham Neubig:
Learning Relation Entailment with Structured and Textual Information. AKBC 2020 - [c2]Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang:
Correlation-Aware Change-Point Detection via Graph Neural Networks. ICONIP (3) 2020: 555-567 - [c1]Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang:
Graph-Revised Convolutional Network. ECML/PKDD (3) 2020: 378-393 - [i3]Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang:
Explainable Unsupervised Change-point Detection via Graph Neural Networks. CoRR abs/2004.11934 (2020) - [i2]Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu:
Generalized Multi-Relational Graph Convolution Network. CoRR abs/2006.07331 (2020)
2010 – 2019
- 2019
- [i1]Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang:
Graph-Revised Convolutional Network. CoRR abs/1911.07123 (2019)
Coauthor Index
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