Ruohong Zhang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Global Features

Normalized Maximum Likelihood

Text Classification

Convolutional Network

Top Venues

Publications

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 (2024)
Ruohong Zhang, Yau-Shian Wang, Yiming Yang
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM. EACL (1) (2024)
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)
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 (2023)
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 (2023)
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)
Ruohong Zhang, Yau-Shian Wang, Yiming Yang
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-tuned GPT. CoRR (2023)
Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification. CoRR (2023)
Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang
PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification. ACL (1) (2023)
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 (2022)
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 (2022)
Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu
Knowledge Embedding Based Graph Convolutional Network. WWW (2021)
Donghan Yu, Yiming Yang, Ruohong Zhang, Yuexin Wu
Generalized Multi-Relational Graph Convolution Network. CoRR (2020)
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)
Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang
Explainable Unsupervised Change-point Detection via Graph Neural Networks. CoRR (2020)
Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang
Graph-Revised Convolutional Network. ECML/PKDD (3) (2020)
Zhengbao Jiang, Jun Araki, Donghan Yu, Ruohong Zhang, Wei Xu, Yiming Yang, Graham Neubig
Learning Relation Entailment with Structured and Textual Information. AKBC (2020)
Donghan Yu, Ruohong Zhang, Zhengbao Jiang, Yuexin Wu, Yiming Yang
Graph-Revised Convolutional Network. CoRR (2019)