Image de couverture de livre

Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Chaowei, Feng, Zongling, Zhang, Zewei, Qiang, Jipeng, Xu, Guandong, Li, Yun
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning
par: Zhang, Chaowei, et autres
Publié: (2026)

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

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

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

Clickbait Detection via Large Language Models
par: Wang, Han, et autres
Publié: (2023)

RVISA: Reasoning and Verification for Implicit Sentiment Analysis
par: Lai, Wenna, et autres
Publié: (2024)

PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations
par: Wu, Yuhe, et autres
Publié: (2026)

VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning
par: Niu, Cheng, et autres
Publié: (2024)

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

Where Fake Citations Are Made: Tracing Field-Level Hallucination to Specific Neurons in LLMs
par: Chen, Yuefei, et autres
Publié: (2026)

Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media
par: Zhang, Jiajun, et autres
Publié: (2024)

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

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

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

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

Multi-Task Learning with LLMs for Implicit Sentiment Analysis: Data-level and Task-level Automatic Weight Learning
par: Lai, Wenna, et autres
Publié: (2024)

ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs
par: Zhang, Zhenliang, et autres
Publié: (2025)

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)

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

When LLMs Team Up: The Emergence of Collaborative Affective Computing
par: Lai, Wenna, et autres
Publié: (2025)

Detection and Mitigation of Hallucination in Large Reasoning Models: A Mechanistic Perspective
par: Sun, Zhongxiang, et autres
Publié: (2025)

Teaching with Lies: Curriculum DPO on Synthetic Negatives for Hallucination Detection
par: Pandit, Shrey, et autres
Publié: (2025)

Hallucination Detection with the Internal Layers of LLMs
par: Preiß, Martin
Publié: (2025)

Fake Alignment: Are LLMs Really Aligned Well?
par: Wang, Yixu, et autres
Publié: (2023)

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

Lifelong Evolution: Collaborative Learning between Large and Small Language Models for Continuous Emergent Fake News Detection
par: Zhou, Ziyi, et autres
Publié: (2025)

Fine-grained Verification via Diagnostic Reasoning Supervision for Aspect Sentiment Triplet Extraction
par: Lai, Wenna, et autres
Publié: (2026)

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

Cost-Effective Hallucination Detection for LLMs
par: Valentin, Simon, et autres
Publié: (2024)

Reasoning Factual Knowledge in Structured Data with Large Language Models
par: Huang, Sirui, et autres
Publié: (2024)

Group-Adaptive Adversarial Learning for Robust Fake News Detection Against Malicious Comments
par: Tong, Zhao, 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)

HARP: Hallucination Detection via Reasoning Subspace Projection
par: Hu, Junjie, et autres
Publié: (2025)

Unsupervised Hallucination Detection by Inspecting Reasoning Processes
par: Srey, Ponhvoan, et autres
Publié: (2025)

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

How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination
par: Islam, Saad Obaid ul, et autres
Publié: (2025)

Small Updates, Big Doubts: Does Parameter-Efficient Fine-tuning Enhance Hallucination Detection ?
par: Hu, Xu, et autres
Publié: (2026)

The Two Sides of the Coin: Hallucination Generation and Detection with LLMs as Evaluators for LLMs
par: Bui, Anh Thu Maria, et autres
Publié: (2024)

Hallucination is Inevitable for LLMs with the Open World Assumption
par: Xu, Bowen
Publié: (2025)

SINdex: Semantic INconsistency Index for Hallucination Detection in LLMs
par: Abdaljalil, Samir, et autres
Publié: (2025)