Junzhe Zhang

According to our database, Junzhe Zhang authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

KBE-DME: Dynamic Multimodal Evaluation via Knowledge Enhanced Benchmark Evolution.

Junzhe Zhang, Huixuan Zhang, Xiaojun Wan

CoRR, October, 2025

Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models.

Zhenliang Zhang, Junzhe Zhang, Xinyu Hu, HuiXuan Zhang, Xiaojun Wan

CoRR, August, 2025

How Much To Guide: Revisiting Adaptive Guidance in Classifier-Free Guidance Text-to-Vision Diffusion Models.

Huixuan Zhang, Junzhe Zhang, Xiaojun Wan

CoRR, June, 2025

Minos: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text.

Junzhe Zhang, Huixuan Zhang, Xinyu Hu, Li Lin, Mingqi Gao, Shi Qiu, Xiaojun Wan

CoRR, June, 2025

Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models.

Boyu Jia, Junzhe Zhang, Huixuan Zhang, Xiaojun Wan

CoRR, March, 2025

C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation.

Xu Zhang, Zhifei Liu, Jiahao Wang, Huixuan Zhang, Fan Xu, Junzhe Zhang, Xiaojun Wan

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models.

Zhenliang Zhang, Junzhe Zhang, Xinyu Hu, Huixuan Zhang, Xiaojun Wan

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs.

Zhenliang Zhang, Xinyu Hu, Huixuan Zhang, Junzhe Zhang, Xiaojun Wan

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

MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency.

Junzhe Zhang, Huixuan Zhang, Xunjian Yin, Baizhou Huang, Xu Zhang, Xinyu Hu, Xiaojun Wan

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Evaluating and Mitigating Number Hallucinations in Large Vision-Language Models: A Consistency Perspective.

Huixuan Zhang, Junzhe Zhang, Xiaojun Wan

CoRR, 2024

Entity-Aware Multimodal Alignment Framework for News Image Captioning.

Junzhe Zhang, Huixuan Zhang, Xiaojun Wan

CoRR, 2024

2023

Exploring the Impact of Vision Features in News Image Captioning.

Junzhe Zhang, Xiaojun Wan

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

2021

Crafting Adversarial Examples for Neural Machine Translation.

Xinze Zhang, Junzhe Zhang, Zhenhua Chen, Kun He

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021