Saved in:
| Main Authors: | Wang, Bo, Ma, Jing, Lin, Hongzhan, Yang, Zhiwei, Yang, Ruichao, Tian, Yuan, Chang, Yi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2405.03371 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM
by: Wang, Bo, et al.
Published: (2026)
by: Wang, Bo, et al.
Published: (2026)
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
by: Lin, Hongzhan, et al.
Published: (2024)
by: Lin, Hongzhan, et al.
Published: (2024)
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models
by: Yang, Ruichao, et al.
Published: (2024)
by: Yang, Ruichao, et al.
Published: (2024)
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
by: Lin, Hongzhan, et al.
Published: (2024)
by: Lin, Hongzhan, et al.
Published: (2024)
LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information
by: Yang, Ruichao, et al.
Published: (2025)
by: Yang, Ruichao, et al.
Published: (2025)
Probabilistic Concept Graph Reasoning for Multimodal Misinformation Detection
by: Yang, Ruichao, et al.
Published: (2026)
by: Yang, Ruichao, et al.
Published: (2026)
From Deception to Detection: The Dual Roles of Large Language Models in Fake News
by: Sallami, Dorsaf, et al.
Published: (2024)
by: Sallami, Dorsaf, et al.
Published: (2024)
REFLEX: Self-Refining Explainable Fact-Checking via Verdict-Anchored Style Control
by: Kong, Chuyi, et al.
Published: (2025)
by: Kong, Chuyi, et al.
Published: (2025)
From Storage to Experience: A Survey on the Evolution of LLM Agent Memory Mechanisms
by: Luo, Jinghao, et al.
Published: (2026)
by: Luo, Jinghao, et al.
Published: (2026)
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
by: Zhao, Yuwei, et al.
Published: (2024)
by: Zhao, Yuwei, et al.
Published: (2024)
FakeGPT: Fake News Generation, Explanation and Detection of Large Language Models
by: Huang, Yue, et al.
Published: (2023)
by: Huang, Yue, et al.
Published: (2023)
Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms
by: Sun, Yuxi, et al.
Published: (2025)
by: Sun, Yuxi, et al.
Published: (2025)
AMR-Evol: Adaptive Modular Response Evolution Elicits Better Knowledge Distillation for Large Language Models in Code Generation
by: Luo, Ziyang, et al.
Published: (2024)
by: Luo, Ziyang, et al.
Published: (2024)
FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models
by: Lin, Hongzhan, et al.
Published: (2025)
by: Lin, Hongzhan, et al.
Published: (2025)
LLM-GAN: Construct Generative Adversarial Network Through Large Language Models For Explainable Fake News Detection
by: Wang, Yifeng, et al.
Published: (2024)
by: Wang, Yifeng, et al.
Published: (2024)
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language Models
by: Wang, Shengkang, et al.
Published: (2024)
by: Wang, Shengkang, et al.
Published: (2024)
MemeArena: Automating Context-Aware Unbiased Evaluation of Harmfulness Understanding for Multimodal Large Language Models
by: Chen, Zixin, et al.
Published: (2025)
by: Chen, Zixin, et al.
Published: (2025)
A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection
by: Jin, Di, et al.
Published: (2025)
by: Jin, Di, et al.
Published: (2025)
Trust Oriented Explainable AI for Fake News Detection
by: Siwek, Krzysztof, et al.
Published: (2026)
by: Siwek, Krzysztof, et al.
Published: (2026)
Large Language Model Agent for Fake News Detection
by: Li, Xinyi, et al.
Published: (2024)
by: Li, Xinyi, et al.
Published: (2024)
Fake News Detection and Manipulation Reasoning via Large Vision-Language Models
by: Jin, Ruihan, et al.
Published: (2024)
by: Jin, Ruihan, et al.
Published: (2024)
Adapting Fake News Detection to the Era of Large Language Models
by: Su, Jinyan, et al.
Published: (2023)
by: Su, Jinyan, et al.
Published: (2023)
Adversarial Style Augmentation via Large Language Model for Robust Fake News Detection
by: Park, Sungwon, et al.
Published: (2024)
by: Park, Sungwon, et al.
Published: (2024)
MegaFake: A Theory-Driven Dataset of Fake News Generated by Large Language Models
by: Wang, Lionel Z., et al.
Published: (2024)
by: Wang, Lionel Z., et al.
Published: (2024)
Heterogeneous Subgraph Transformer for Fake News Detection
by: Zhang, Yuchen, et al.
Published: (2024)
by: Zhang, Yuchen, et al.
Published: (2024)
CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models
by: Lin, Hongzhan, et al.
Published: (2024)
by: Lin, Hongzhan, et al.
Published: (2024)
Towards Comprehensive Stage-wise Benchmarking of Large Language Models in Fact-Checking
by: Lin, Hongzhan, et al.
Published: (2026)
by: Lin, Hongzhan, et al.
Published: (2026)
SceneFake: An Initial Dataset and Benchmarks for Scene Fake Audio Detection
by: Yi, Jiangyan, et al.
Published: (2022)
by: Yi, Jiangyan, et al.
Published: (2022)
Towards Explainable Fake Image Detection with Multi-Modal Large Language Models
by: Ji, Yikun, et al.
Published: (2025)
by: Ji, Yikun, et al.
Published: (2025)
MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
by: Zeng, Gailun, et al.
Published: (2025)
by: Zeng, Gailun, et al.
Published: (2025)
A Hybrid Attention Framework for Fake News Detection with Large Language Models
by: Xu, Xiaochuan, et al.
Published: (2025)
by: Xu, Xiaochuan, et al.
Published: (2025)
Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
by: Hu, Beizhe, et al.
Published: (2023)
by: Hu, Beizhe, et al.
Published: (2023)
AdamMeme: Adaptively Probe the Reasoning Capacity of Multimodal Large Language Models on Harmfulness
by: Chen, Zixin, et al.
Published: (2025)
by: Chen, Zixin, et al.
Published: (2025)
ScratchEval: Are GPT-4o Smarter than My Child? Evaluating Large Multimodal Models with Visual Programming Challenges
by: Fu, Rao, et al.
Published: (2024)
by: Fu, Rao, et al.
Published: (2024)
Towards Low-Resource Harmful Meme Detection with LMM Agents
by: Huang, Jianzhao, et al.
Published: (2024)
by: Huang, Jianzhao, et al.
Published: (2024)
Ethio-Fake: Cutting-Edge Approaches to Combat Fake News in Under-Resourced Languages Using Explainable AI
by: Yigezu, Mesay Gemeda, et al.
Published: (2024)
by: Yigezu, Mesay Gemeda, et al.
Published: (2024)
TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection
by: Liu, Hui, et al.
Published: (2024)
by: Liu, Hui, et al.
Published: (2024)
Knowledge-Augmented Multimodal Clinical Rationale Generation for Disease Diagnosis with Small Language Models
by: Niu, Shuai, et al.
Published: (2024)
by: Niu, Shuai, et al.
Published: (2024)
Knowledge Distillation of Black-Box Large Language Models
by: Chen, Hongzhan, et al.
Published: (2024)
by: Chen, Hongzhan, et al.
Published: (2024)
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
by: Chen, Kai, et al.
Published: (2023)
by: Chen, Kai, et al.
Published: (2023)
Similar Items
-
A Graph-Enhanced Defense Framework for Explainable Fake News Detection with LLM
by: Wang, Bo, et al.
Published: (2026) -
Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models
by: Lin, Hongzhan, et al.
Published: (2024) -
Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models
by: Yang, Ruichao, et al.
Published: (2024) -
GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse
by: Lin, Hongzhan, et al.
Published: (2024) -
LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information
by: Yang, Ruichao, et al.
Published: (2025)