Huixuan Zhang

27 papers A* 2A 2Journal 16Unranked 7
YearRankTypeTitle / Venue / Authors
2025 A conf
C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation.
CIKM
Xu Zhang, Zhifei Liu, Jiahao Wang, Huixuan Zhang, Fan Xu, Junzhe Zhang, Xiaojun Wan
2025 J jnl
C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation.
CoRR
Xu Zhang, Zhifei Liu, Jiahao Wang, Huixuan Zhang, Fan Xu, Junzhe Zhang, Xiaojun Wan
2025 A* conf
DAMON: A Dialogue-Aware MCTS Framework for Jailbreaking Large Language Models.
EMNLP
Xu Zhang, Xunjian Yin, Dinghao Jing, Huixuan Zhang, Xinyu Hu, Xiaojun Wan
2025 A conf
Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models.
CIKM
Zhenliang Zhang, Junzhe Zhang, Xinyu Hu, Huixuan Zhang, Xiaojun Wan
2025 J jnl
Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models.
CoRR
Zhenliang Zhang, Junzhe Zhang, Xinyu Hu, Huixuan Zhang, Xiaojun Wan
2025 — conf
Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models.
EMNLP (Findings)
Boyu Jia, Junzhe Zhang, Huixuan Zhang, Xiaojun Wan
2025 J jnl
Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models.
CoRR
Boyu Jia, Junzhe Zhang, Huixuan Zhang, Xiaojun Wan
2025 — conf
How Much To Guide: Revisiting Adaptive Guidance in Classifier-Free Guidance Text-to-Vision Diffusion Models.
MMAsia
Huixuan Zhang, Xiaojun Wan
2025 J jnl
How Much To Guide: Revisiting Adaptive Guidance in Classifier-Free Guidance Text-to-Vision Diffusion Models.
CoRR
Huixuan Zhang, Junzhe Zhang, Xiaojun Wan
2025 — conf
ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs.
ACL (1)
Zhenliang Zhang, Xinyu Hu, Huixuan Zhang, Junzhe Zhang, Xiaojun Wan
2025 J jnl
ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs.
CoRR
Zhenliang Zhang, Xinyu Hu, Huixuan Zhang, Junzhe Zhang, Xiaojun Wan
2025 J jnl
JointCQ: Improving Factual Hallucination Detection with Joint Claim and Query Generation.
CoRR
Fan Xu, Huixuan Zhang, Zhenliang Zhang, Jiahao Wang, Xiaojun Wan
2025 J jnl
KBE-DME: Dynamic Multimodal Evaluation via Knowledge Enhanced Benchmark Evolution.
CoRR
Junzhe Zhang, Huixuan Zhang, Xiaojun Wan
2025 J jnl
M
CoRR
Huixuan Zhang, Xiaojun Wan
2025 — conf
MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency.
ACL (Findings)
Junzhe Zhang, Huixuan Zhang, Xunjian Yin, Baizhou Huang, Xu Zhang, Xinyu Hu, Xiaojun Wan
2025 J jnl
Minos: A Multimodal Evaluation Model for Bidirectional Generation Between Image and Text.
CoRR
Junzhe Zhang, Huixuan Zhang, Xinyu Hu, Li Lin, Mingqi Gao, Shi Qiu, Xiaojun Wan
2025 A* conf
R-Bind: Unified Enhancement of Attribute and Relation Binding in Text-to-Image Diffusion Models.
EMNLP
Huixuan Zhang, Xiaojun Wan
2025 J jnl
Re-Thinking the Automatic Evaluation of Image-Text Alignment in Text-to-Image Models.
CoRR
Huixuan Zhang, Xiaojun Wan
2025 — conf
Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models.
EMNLP (Findings)
Xiaofan Zheng, Huixuan Zhang, Xiaojun Wan
2025 J jnl
UniAIDet: A Unified and Universal Benchmark for AI-Generated Image Content Detection and Localization.
CoRR
Huixuan Zhang, Xiaojun Wan
2024 J jnl
Entity-Aware Multimodal Alignment Framework for News Image Captioning.
CoRR
Junzhe Zhang, Huixuan Zhang, Xiaojun Wan
2024 J jnl
Evaluating and Mitigating Number Hallucinations in Large Vision-Language Models: A Consistency Perspective.
CoRR
Huixuan Zhang, Junzhe Zhang, Xiaojun Wan
2024 — conf
Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection.
LREC/COLING
Huixuan Zhang, Xiaojun Wan
2024 J jnl
MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency.
CoRR
Junzhe Zhang, Huixuan Zhang, Xunjian Yin, Baizhou Huang, Xu Zhang, Xinyu Hu, Xiaojun Wan
2024 — conf
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models.
EMNLP (Findings)
Huixuan Zhang, Yun Lin, Xiaojun Wan
2024 J jnl
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models.
CoRR
Huixuan Zhang, Yun Lin, Xiaojun Wan
2023 J jnl
Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection.
CoRR
Huixuan Zhang, Xiaojun Wan