:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Yupeng, He, Haorui, Bai, Jin, Wen, Dacheng
Format:	Preprint
Publié:	2024
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2403.09092
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Ax-to-Grind Urdu: Benchmark Dataset for Urdu Fake News Detection
par: Harris, Sheetal, et autres
Publié: (2024)

Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection
par: Guo, Hao, et autres
Publié: (2024)

FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection
par: Zhou, Ziyi, et autres
Publié: (2024)

LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection
par: Xu, Cheng, et autres
Publié: (2026)

Fake News Detection and Manipulation Reasoning via Large Vision-Language Models
par: Jin, Ruihan, et autres
Publié: (2024)

MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models
par: Wang, Lionel Z., et autres
Publié: (2024)

Multi-view autoencoders for Fake News Detection
par: Pereira, Ingryd V. S. T., et autres
Publié: (2025)

Benchmarking Large Language Models on CFLUE -- A Chinese Financial Language Understanding Evaluation Dataset
par: Zhu, Jie, et autres
Publié: (2024)

ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction
par: Wu, Lvhua, et autres
Publié: (2025)

FactGuard: Event-Centric and Commonsense-Guided Fake News Detection
par: He, Jing, et autres
Publié: (2025)

Heterogeneous Subgraph Transformer for Fake News Detection
par: Zhang, Yuchen, et autres
Publié: (2024)

LLM-MRD: LLM-Guided Multi-View Reasoning Distillation for Fake News Detection
par: Zhou, Weilin, et autres
Publié: (2026)

CMMaTH: A Chinese Multi-modal Math Skill Evaluation Benchmark for Foundation Models
par: Li, Zhong-Zhi, et autres
Publié: (2024)

Chumor 2.0: Towards Benchmarking Chinese Humor Understanding
par: He, Ruiqi, et autres
Publié: (2024)

MSynFD: Multi-hop Syntax aware Fake News Detection
par: Xiao, Liang, et autres
Publié: (2024)

Large Language Model Agent for Fake News Detection
par: Li, Xinyi, et autres
Publié: (2024)

FaKnow: A Unified Library for Fake News Detection
par: Zhu, Yiyuan, et autres
Publié: (2024)

AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection
par: Xu, Xiaoman, et autres
Publié: (2024)

Adapting Fake News Detection to the Era of Large Language Models
par: Su, Jinyan, et autres
Publié: (2023)

Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection
par: Wang, Wei-Yao, et autres
Publié: (2024)

Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
par: Zhang, Chaowei, et autres
Publié: (2025)

A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM
par: Wang, Bo, et autres
Publié: (2026)

Towards Real-Time Fake News Detection under Evidence Scarcity
par: Wei, Guangyu, et autres
Publié: (2025)

Chumor 1.0: A Truly Funny and Challenging Chinese Humor Understanding Dataset from Ruo Zhi Ba
par: He, Ruiqi, et autres
Publié: (2024)

Chinese Cyberbullying Detection: Dataset, Method, and Validation
par: Zhu, Yi, et autres
Publié: (2025)

DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension
par: Lin, Runfeng, et autres
Publié: (2024)

Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection
par: Liu, Ye, et autres
Publié: (2024)

Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis
par: Koka, Sahas, et autres
Publié: (2024)

ChineseWebText 2.0: Large-Scale High-quality Chinese Web Text with Multi-dimensional and fine-grained information
par: Zhang, Wanyue, et autres
Publié: (2024)

From Deception to Detection: The Dual Roles of Large Language Models in Fake News
par: Sallami, Dorsaf, et autres
Publié: (2024)

External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection
par: Cao, Biwei, et autres
Publié: (2025)

CMMU: A Benchmark for Chinese Multi-modal Multi-type Question Understanding and Reasoning
par: He, Zheqi, et autres
Publié: (2024)

MultiJustice: A Chinese Dataset for Multi-Party, Multi-Charge Legal Prediction
par: Wang, Xiao, et autres
Publié: (2025)

MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows
par: Zhang, Xingjian, et autres
Publié: (2024)

Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
par: Park, Sungwon, et autres
Publié: (2024)

Benchmarking the Detection of LLMs-Generated Modern Chinese Poetry
par: Wang, Shanshan, et autres
Publié: (2025)

Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing
par: Liu, Qiang, et autres
Publié: (2023)

PCoT: Persuasion-Augmented Chain of Thought for Detecting Fake News and Social Media Disinformation
par: Modzelewski, Arkadiusz, et autres
Publié: (2025)

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
par: Hu, Beizhe, et autres
Publié: (2023)

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan
par: Yao, Jui-Ming, et autres
Publié: (2025)