Crafting Adversarial Examples for Neural Machine Translation. - Xinze Zhang; Junzhe Zhang 004; Zhenhua Chen 007; Kun He 001 (ACL/IJCNLP (1), 2021)

Exploring the Impact of Vision Features in News Image Captioning. - Junzhe Zhang 004; Xiaojun Wan 001 (ACL (Findings), 2023)

Entity-Aware Multimodal Alignment Framework for News Image Captioning. - Junzhe Zhang 004; Huixuan Zhang; Xiaojun Wan 001 (CoRR, 2024)

Evaluating and Mitigating Number Hallucinations in Large Vision-Language Models: A Consistency Perspective. - Huixuan Zhang; Junzhe Zhang 004; Xiaojun Wan 001 (CoRR, 2024)

MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency. - Junzhe Zhang 004; Huixuan Zhang; Xunjian Yin; Baizhou Huang; Xu Zhang; Xinyu Hu 001; Xiaojun Wan 001 (ACL (Findings), 2025)

ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs. - Zhenliang Zhang; Xinyu Hu 001; Huixuan Zhang; Junzhe Zhang 004; Xiaojun Wan 001 (ACL (1), 2025)

Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models. - Boyu Jia; Junzhe Zhang 004; Huixuan Zhang; Xiaojun Wan 001 (CoRR, 2025)

C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation. - Xu Zhang; Zhifei Liu; Jiahao Wang; Huixuan Zhang; Fan Xu; Junzhe Zhang 004; Xiaojun Wan 001 (CoRR, 2025)

Minos: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text. - Junzhe Zhang 004; Huixuan Zhang; Xinyu Hu 001; Li Lin 014; Mingqi Gao 002; Shi Qiu; Xiaojun Wan 001 (CoRR, 2025)

How Much To Guide: Revisiting Adaptive Guidance in Classifier-Free Guidance Text-to-Vision Diffusion Models. - Huixuan Zhang; Junzhe Zhang 004; Xiaojun Wan 001 (CoRR, 2025)