Chameleon: On the Scene Diversity and Domain Variety of AI-Generated Videos Detection.
CoRR, March, 2025
SearchRAG: Can Search Engines Be Helpful for LLM-based Medical Question Answering?
CoRR, February, 2025
Wetland Scene Segmentation of Remote Sensing Images Based on Lie Group Feature and Graph Cut Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
Can Knowledge Editing Really Correct Hallucinations?
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges.
SIGKDD Explor., December, 2024
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge.
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CoRR, 2024
ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?
CoRR, 2024
FairMindSim: Alignment of Behavior, Emotion, and Belief in Humans and LLM Agents Amid Ethical Dilemmas.
CoRR, 2024
FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks.
CoRR, 2024
Model Attribution in Machine-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning.
CoRR, 2024
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
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CoRR, 2024
Can Large Language Model Agents Simulate Human Trust Behaviors?
CoRR, 2024
Combating misinformation in the age of LLMs: Opportunities and challenges.
AI Mag., 2024
Can Large Language Model Agents Simulate Human Trust Behavior?
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Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Can LLM-Generated Misinformation Be Detected?
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Can Large Language Models Identify Authorship?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning.
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
MetaGAD: Learning to Meta Transfer for Few-shot Graph Anomaly Detection.
CoRR, 2023
Attacking Fake News Detectors via Manipulating News Social Engagement.
Proceedings of the ACM Web Conference 2023, 2023
PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
Fair classification via domain adaptation: A dual adversarial learning approach.
Frontiers Big Data, 2022
Combating Health Misinformation in Social Media: Characterization, Detection, Intervention, and Open Issues.
CoRR, 2022
On Fair Classification with Mostly Private Sensitive Attributes.
CoRR, 2022
Benchmarking Node Outlier Detection on Graphs.
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CoRR, 2022
Joint Adversarial Learning for Cross-domain Fair Classification.
CoRR, 2022
PyGOD: A Python Library for Graph Outlier Detection.
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CoRR, 2022
Artificial Intelligence Algorithms for Treatment of Diabetes.
Algorithms, 2022
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs.
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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022