Junzhe Chen

According to our database, Junzhe Chen authored at least 16 papers between 2023 and 2026.

Collaborative distances:

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

2026

Do We Really Need External Tools to Mitigate Hallucinations? SIRA: Shared-Prefix Internal Reconstruction of Attribution.

Tian Qin, Junzhe Chen, Yuqing Shi, Tianshu Zhang, Qiang Ju, Lijie Wen

CoRR, May, 2026

Meta-TTRL: A Metacognitive Framework for Self-Improving Test-Time Reinforcement Learning in Unified Multimodal Models.

Lit Sin Tan, Junzhe Chen, Xiaolong Fu, Lichen Ma, Junshi Huang, Jianzhong Shi, Yan Li, Lijie Wen

CoRR, March, 2026

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination.

Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Chao Sun, Rongzhou Zhang, Guanyu Zhou, Lijie Wen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Can Large Language Models Master Complex Card Games?

Wei Wang, Felix Henry, Junzhe Chen, Dan Zhang, Shiyu Huang, Evgeny Kharlamov, Jie Tang

CoRR, September, 2025

OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination.

Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Chao Sun, Rongzhou Zhang, Guanyu Zhou, Lijie Wen, Xuming Hu

CoRR, September, 2025

OmniPlay: Benchmarking Omni-Modal Models on Omni-Modal Game Playing.

Fuqing Bie, Shiyu Huang, Xijia Tao, Zhiqin Fang, Leyi Pan, Junzhe Chen, Min Ren, Liuyu Xiang, Zhaofeng He

CoRR, August, 2025

Building a Stable Planner: An Extended Finite State Machine Based Planning Module for Mobile GUI Agent.

Fanglin Mo, Junzhe Chen, Haoxuan Zhu, Xuming Hu

CoRR, May, 2025

ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models.

Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Linfeng Zhang, Lijie Wen, Xuming Hu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Evaluating Robustness of Generative Search Engine on Adversarial Factual Questions.

Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo

CoRR, 2024

Towards Understanding Factual Knowledge of Large Language Models.

Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions.

Xuming Hu, Xiaochuan Li, Junzhe Chen, Yinghui Li, Yangning Li, Xiaoguang Li, Yasheng Wang, Qun Liu, Lijie Wen, Philip S. Yu, Zhijiang Guo

Proceedings of the Findings of the Association for Computational Linguistics, 2024

LLMArena: Assessing Capabilities of Large Language Models in Dynamic Multi-Agent Environments.

Junzhe Chen, Xuming Hu, Shuodi Liu, Shiyu Huang, Wei-Wei Tu, Zhaofeng He, Lijie Wen

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

2023

Do Large Language Models Know about Facts?

Xuming Hu, Junzhe Chen, Xiaochuan Li, Yufei Guo, Lijie Wen, Philip S. Yu, Zhijiang Guo

CoRR, 2023

MR2: A Benchmark for Multimodal Retrieval-Augmented Rumor Detection in Social Media.

Xuming Hu, Zhijiang Guo, Junzhe Chen, Lijie Wen, Philip S. Yu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SelfLRE: Self-refining Representation Learning for Low-resource Relation Extraction.

Xuming Hu, Junzhe Chen, Shiao Meng, Lijie Wen, Philip S. Yu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Prompt Me Up: Unleashing the Power of Alignments for Multimodal Entity and Relation Extraction.

Xuming Hu, Junzhe Chen, Aiwei Liu, Shiao Meng, Lijie Wen, Philip S. Yu

Proceedings of the 31st ACM International Conference on Multimedia, 2023