Imagen de Portada

RoE-FND: A Case-Based Reasoning Approach with Dual Verification for Fake News Detection via LLMs

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Yang, Yuzhou, Zhou, Yangming, Zhu, Zhiying, Qian, Zhenxing, Zhang, Xinpeng, Li, Sheng
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences
por: Yang, Yuzhou, et al.
Publicado: (2024)

MoEs Are Stronger than You Think: Hyper-Parallel Inference Scaling with RoE
por: Zibakhsh, Soheil, et al.
Publicado: (2025)

LLM-MRD: LLM-Guided Multi-View Reasoning Distillation for Fake News Detection
por: Zhou, Weilin, et al.
Publicado: (2026)

Regeneration Based Training-free Attribution of Fake Images Generated by Text-to-Image Generative Models
por: Li, Meiling, et al.
Publicado: (2024)

Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
por: Zhang, Chaowei, et al.
Publicado: (2025)

Gleaning Insights From Research on Evaluation (RoE) PhD Dissertations
por: Jennifer P. Villalobos, et al.
Publicado: (2025)

UNITE-FND: Reframing Multimodal Fake News Detection through Unimodal Scene Translation
por: Mukherjee, Arka, et al.
Publicado: (2025)

Fake News Detection and Manipulation Reasoning via Large Vision-Language Models
por: Jin, Ruihan, et al.
Publicado: (2024)

Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing
por: Liu, Qiang, et al.
Publicado: (2023)

Synergizing LLMs with Global Label Propagation for Multimodal Fake News Detection
por: Hu, Shuguo, et al.
Publicado: (2025)

Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning
por: Yan, Kaiying, et al.
Publicado: (2025)

VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning
por: Niu, Cheng, et al.
Publicado: (2024)

An Experimental Comparison of the Most Popular Approaches to Fake News Detection
por: Dell'Oglio, Pietro, et al.
Publicado: (2026)

Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection
por: Wang, Zhengjia, et al.
Publicado: (2025)

Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection
por: Wang, Wei-Yao, et al.
Publicado: (2024)

CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
por: Tong, Zhao, et al.
Publicado: (2026)

Addressing Data Scarcity in Bangla Fake News Detection: An LLM-Based Dataset Augmentation Approach
por: Sani, Ahmed Alfey, et al.
Publicado: (2026)

Evidence-based Decision Modeling for Synthetic Face Detection with Uncertainty-driven Active Learning
por: Jiang, Qingchao, et al.
Publicado: (2026)

Only Train Once: Uncertainty-Aware One-Class Learning for Face Authenticity Detection
por: Jiang, Qingchao, et al.
Publicado: (2026)

A Self-Learning Multimodal Approach for Fake News Detection
por: Chen, Hao, et al.
Publicado: (2024)

From Scarcity to Capability: Empowering Fake News Detection in Low-Resource Languages with LLMs
por: Shibu, Hrithik Majumdar, et al.
Publicado: (2025)

From Deception to Detection: The Dual Roles of Large Language Models in Fake News
por: Sallami, Dorsaf, et al.
Publicado: (2024)

Fake News Detection: It's All in the Data!
por: Kuntur, Soveatin, et al.
Publicado: (2024)

Propagation Structure-Semantic Transfer Learning for Robust Fake News Detection
por: Chen, Mengyang, et al.
Publicado: (2026)

CRAVE: A Conflicting Reasoning Approach for Explainable Claim Verification Using LLMs
por: Zheng, Yingming, et al.
Publicado: (2025)

FakeWatch: A Framework for Detecting Fake News to Ensure Credible Elections
por: Raza, Shaina, et al.
Publicado: (2024)

FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models
por: Huang, Yue, et al.
Publicado: (2023)

Exploiting User Comments for Early Detection of Fake News Prior to Users' Commenting
por: Nan, Qiong, et al.
Publicado: (2023)

Fact-checking based fake news detection: a review
por: Yang, Yuzhou, et al.
Publicado: (2024)

An Information-theoretic Propagation Denoising and Fusion Framework for Fake News Detection
por: Chen, Mengyang, et al.
Publicado: (2026)

Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks
por: Wu, Jiaying, et al.
Publicado: (2023)

Each Fake News is Fake in its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection
por: Guo, Hao, et al.
Publicado: (2024)

PROMPT-IML: Image Manipulation Localization with Pre-trained Foundation Models Through Prompt Tuning
por: Liu, Xuntao, et al.
Publicado: (2024)

TAGFN: A Text-Attributed Graph Dataset for Fake News Detection in the Age of LLMs
por: Liu, Kay, et al.
Publicado: (2025)

ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs
por: Zhao, Gejian, et al.
Publicado: (2025)

Context-Based Fake News Detection using Graph Based Approach: ACOVID-19 Use-case
por: Muniyappa, Chandrashekar, et al.
Publicado: (2025)

Finding the Cracks: Improving LLMs Reasoning with Paraphrastic Probing and Consistency Verification
por: Shi, Weili, et al.
Publicado: (2026)

RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals
por: Zhang, Xuanliang, et al.
Publicado: (2025)

Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection
por: Liu, Ye, et al.
Publicado: (2024)

LLM-Generated Fake News Induces Truth Decay in News Ecosystem: A Case Study on Neural News Recommendation
por: Hu, Beizhe, et al.
Publicado: (2025)