Huixuan Zhang

According to our database, Huixuan Zhang authored at least 20 papers between 2024 and 2025.

Collaborative distances:

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

2025

UniAIDet: A Unified and Universal Benchmark for AI-Generated Image Content Detection and Localization.

Huixuan Zhang, Xiaojun Wan

CoRR, October, 2025

M³T2IBench: A Large-Scale Multi-Category, Multi-Instance, Multi-Relation Text-to-Image Benchmark.

Huixuan Zhang, Xiaojun Wan

CoRR, October, 2025

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

Junzhe Zhang, Huixuan Zhang, Xiaojun Wan

CoRR, October, 2025

JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation.

Fan Xu, Huixuan Zhang, Zhenliang Zhang, Jiahao Wang, Xiaojun Wan

CoRR, October, 2025

Re-Thinking the Automatic Evaluation of Image-Text Alignment in Text-to-Image Models.

Huixuan Zhang, Xiaojun Wan

CoRR, June, 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

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

Huixuan Zhang, Xiaojun Wan

Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models.

Xiaofan Zheng, Huixuan Zhang, Xiaojun Wan

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

DAMON: A Dialogue-Aware MCTS Framework for Jailbreaking Large Language Models.

Xu Zhang, Xunjian Yin, Dinghao Jing, Huixuan Zhang, Xinyu Hu, Xiaojun Wan

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

R-Bind: Unified Enhancement of Attribute and Relation Binding in Text-to-Image Diffusion Models.

Huixuan Zhang, Xiaojun Wan

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Boyu Jia, Junzhe Zhang, Huixuan Zhang, Xiaojun Wan

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

PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models.

Huixuan Zhang, Yun Lin, Xiaojun Wan

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

Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection.

Huixuan Zhang, Xiaojun Wan

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024