Tianzhe Zhao

According to our database, Tianzhe Zhao authored at least 20 papers between 2021 and 2025.

Collaborative distances:

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

2025

A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning.

Qika Lin, Yifan Zhu, Bin Pu, Ling Huang, Haoran Luo, Jingying Ma, Zhen Peng, Tianzhe Zhao, Fangzhi Xu, Jian Zhang, Kai He, Zhonghong Ou, Swapnil Mishra, Mengling Feng

CoRR, September, 2025

SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding.

Yifei Li, Lingling Zhang, Hang Yan, Tianzhe Zhao, Zihan Ma, Muye Huang, Jun Liu

CoRR, August, 2025

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation.

Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Haiping Zhu, Nan Hu, Jun Liu, Qika Lin

CoRR, July, 2025

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation and Beyond.

Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria

IEEE Trans. Knowl. Data Eng., April, 2025

Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under Large Language Model Supervision.

Yudai Pan, Jiajie Hong, Tianzhe Zhao, Lingyun Song, Jun Liu, Xuequn Shang

Proceedings of the ACM on Web Conference 2025, 2025

Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis.

Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Haiping Zhu, Yudai Pan, Jun Liu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models.

Qika Lin, Tianzhe Zhao, Kai He, Zhen Peng, Fangzhi Xu, Ling Huang, Jingying Ma, Mengling Feng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Mind Reasoning Manners: Enhancing Type Perception for Generalized Zero-Shot Logical Reasoning Over Text.

Fangzhi Xu, Jun Liu, Qika Lin, Tianzhe Zhao, Jian Zhang, Lingling Zhang

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Context-Aware Commonsense Knowledge Graph Reasoning With Path-Guided Explanations.

Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Qianying Wang

IEEE Trans. Knowl. Data Eng., 2024

A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction.

Yudai Pan, Jun Liu, Tianzhe Zhao, Lingling Zhang, Yun Lin, Jin Song Dong

Proceedings of the ACM on Web Conference 2024, 2024

Untargeted Adversarial Attack on Knowledge Graph Embeddings.

Tianzhe Zhao, Jiaoyan Chen, Yanchi Ru, Qika Lin, Yuxia Geng, Jun Liu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering.

Fangzhi Xu, Qika Lin, Tianzhe Zhao, Jiawei Han, Jun Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Improved prototypical network for active few-shot learning.

Yaqiang Wu, Yifei Li, Tianzhe Zhao, Lingling Zhang, Bifan Wei, Jun Liu, Qinghua Zheng

Pattern Recognit. Lett., August, 2023

MoCA: Incorporating domain pretraining and cross attention for textbook question answering.

Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan, Yi Huang, Qianying Wang

Pattern Recognit., August, 2023

Are Large Language Models Really Good Logical Reasoners? A Comprehensive Evaluation From Deductive, Inductive and Abductive Views.

Fangzhi Xu, Qika Lin, Jiawei Han, Tianzhe Zhao, Jun Liu, Erik Cambria

CoRR, 2023

2022

Incorporating Context Graph with Logical Reasoning for Inductive Relation Prediction.

Qika Lin, Jun Liu, Fangzhi Xu, Yudai Pan, Yifan Zhu, Lingling Zhang, Tianzhe Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Inductive Relation Prediction with Logical Reasoning Using Contrastive Representations.

Yudai Pan, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qika Lin, Xin Hu, Qianying Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Incorporating Prior Type Information for Few-Shot Knowledge Graph Completion.

Siyu Yao, Tianzhe Zhao, Fangzhi Xu, Jun Liu

Proceedings of the Web and Big Data - 6th International Joint Conference, 2022

2021

MoCA: Incorporating Multi-stage Domain Pretraining and Cross-guided Multimodal Attention for Textbook Question Answering.

Fangzhi Xu, Qika Lin, Jun Liu, Lingling Zhang, Tianzhe Zhao, Qi Chai, Yudai Pan

CoRR, 2021

Learning First-Order Rules with Relational Path Contrast for Inductive Relation Reasoning.

Yudai Pan, Jun Liu, Lingling Zhang, Xin Hu, Tianzhe Zhao, Qika Lin

CoRR, 2021