Saved in:
| Main Authors: | Merenda, Flavio, Gómez-Pérez, José Manuel |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.16285 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Uncertainty Resolution in Misinformation Detection
by: Orlovskiy, Yury, et al.
Published: (2024)
by: Orlovskiy, Yury, et al.
Published: (2024)
Why Misinformation is Created? Detecting them by Integrating Intent Features
by: Wang, Bing, et al.
Published: (2024)
by: Wang, Bing, et al.
Published: (2024)
When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits
by: Magomere, Jabez, et al.
Published: (2025)
by: Magomere, Jabez, et al.
Published: (2025)
Zero-Shot Warning Generation for Misinformative Multimodal Content
by: Delvecchio, Giovanni Pio, et al.
Published: (2025)
by: Delvecchio, Giovanni Pio, et al.
Published: (2025)
Misinformation Detection using Large Language Models with Explainability
by: Patel, Jainee, et al.
Published: (2025)
by: Patel, Jainee, et al.
Published: (2025)
Interpretable Multimodal Misinformation Detection with Logic Reasoning
by: Liu, Hui, et al.
Published: (2023)
by: Liu, Hui, et al.
Published: (2023)
Explore the Potential of LLMs in Misinformation Detection: An Empirical Study
by: Chen, Mengyang, et al.
Published: (2023)
by: Chen, Mengyang, et al.
Published: (2023)
Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media Content
by: Pangtey, Lata, et al.
Published: (2025)
by: Pangtey, Lata, et al.
Published: (2025)
SPACE-IDEAS: A Dataset for Salient Information Detection in Space Innovation
by: García-Silva, Andrés, et al.
Published: (2024)
by: García-Silva, Andrés, et al.
Published: (2024)
Belief-Sim: Towards Belief-Driven Simulation of Demographic Misinformation Susceptibility
by: Borah, Angana, et al.
Published: (2026)
by: Borah, Angana, et al.
Published: (2026)
Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models
by: Hoang, Cuong, et al.
Published: (2026)
by: Hoang, Cuong, et al.
Published: (2026)
Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection
by: Wang, Bing, et al.
Published: (2026)
by: Wang, Bing, et al.
Published: (2026)
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
by: Han, Chen, et al.
Published: (2025)
by: Han, Chen, et al.
Published: (2025)
Evidence-Grounded Multimodal Misinformation Detection with Attention-Based GNNs
by: Duwal, Sharad, et al.
Published: (2025)
by: Duwal, Sharad, et al.
Published: (2025)
Fighting Fire with Fire: Adversarial Prompting to Generate a Misinformation Detection Dataset
by: Satapara, Shrey, et al.
Published: (2024)
by: Satapara, Shrey, et al.
Published: (2024)
Toward Verifiable Misinformation Detection: A Multi-Tool LLM Agent Framework
by: Cui, Zikun, et al.
Published: (2025)
by: Cui, Zikun, et al.
Published: (2025)
Prompt-Time Symbolic Knowledge Capture with Large Language Models
by: Çöplü, Tolga, et al.
Published: (2024)
by: Çöplü, Tolga, et al.
Published: (2024)
SciClaims: An End-to-End Generative System for Biomedical Claim Analysis
by: Ortega, Raúl, et al.
Published: (2025)
by: Ortega, Raúl, et al.
Published: (2025)
Misinforming LLMs: vulnerabilities, challenges and opportunities
by: Zhou, Bo, et al.
Published: (2024)
by: Zhou, Bo, et al.
Published: (2024)
Using Persuasive Writing Strategies to Explain and Detect Health Misinformation
by: Kamali, Danial, et al.
Published: (2022)
by: Kamali, Danial, et al.
Published: (2022)
EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection
by: Xu, Ancheng, et al.
Published: (2025)
by: Xu, Ancheng, et al.
Published: (2025)
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
by: Wahle, Jan Philip, et al.
Published: (2021)
by: Wahle, Jan Philip, et al.
Published: (2021)
Can LLM-Generated Misinformation Be Detected?
by: Chen, Canyu, et al.
Published: (2023)
by: Chen, Canyu, et al.
Published: (2023)
Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language Models
by: Petruzzellis, Flavio, et al.
Published: (2024)
by: Petruzzellis, Flavio, et al.
Published: (2024)
Unlocking Bias Detection: Leveraging Transformer-Based Models for Content Analysis
by: Raza, Shaina, et al.
Published: (2023)
by: Raza, Shaina, et al.
Published: (2023)
Prompt-Time Ontology-Driven Symbolic Knowledge Capture with Large Language Models
by: Çöplü, Tolga, et al.
Published: (2024)
by: Çöplü, Tolga, et al.
Published: (2024)
LLM Robustness Against Misinformation in Biomedical Question Answering
by: Bondarenko, Alexander, et al.
Published: (2024)
by: Bondarenko, Alexander, et al.
Published: (2024)
Image-Text Out-Of-Context Detection Using Synthetic Multimodal Misinformation
by: Shalabi, Fatma, et al.
Published: (2024)
by: Shalabi, Fatma, et al.
Published: (2024)
EXCLAIM: An Explainable Cross-Modal Agentic System for Misinformation Detection with Hierarchical Retrieval
by: Wu, Yin, et al.
Published: (2025)
by: Wu, Yin, et al.
Published: (2025)
Examining the Mental Health Impact of Misinformation on Social Media Using a Hybrid Transformer-Based Approach
by: Arora, Sarvesh, et al.
Published: (2025)
by: Arora, Sarvesh, et al.
Published: (2025)
Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation
by: Yue, Zhenrui, et al.
Published: (2024)
by: Yue, Zhenrui, et al.
Published: (2024)
OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
by: Zheng, Hao, et al.
Published: (2025)
by: Zheng, Hao, et al.
Published: (2025)
Can Large Language Models Detect Misinformation in Scientific News Reporting?
by: Cao, Yupeng, et al.
Published: (2024)
by: Cao, Yupeng, et al.
Published: (2024)
Combating Biomedical Misinformation through Multi-modal Claim Detection and Evidence-based Verification
by: Barone, Mariano, et al.
Published: (2025)
by: Barone, Mariano, et al.
Published: (2025)
Dspy-based Neural-Symbolic Pipeline to Enhance Spatial Reasoning in LLMs
by: Wang, Rong, et al.
Published: (2024)
by: Wang, Rong, et al.
Published: (2024)
Textual Entailment for Effective Triple Validation in Object Prediction
by: García-Silva, Andrés, et al.
Published: (2024)
by: García-Silva, Andrés, et al.
Published: (2024)
How does Misinformation Affect Large Language Model Behaviors and Preferences?
by: Peng, Miao, et al.
Published: (2025)
by: Peng, Miao, et al.
Published: (2025)
CHRONOBERG: Capturing Language Evolution and Temporal Awareness in Foundation Models
by: Hegde, Niharika, et al.
Published: (2025)
by: Hegde, Niharika, et al.
Published: (2025)
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
by: Kopf, Laura, et al.
Published: (2025)
by: Kopf, Laura, et al.
Published: (2025)
Code-as-Symbolic-Planner: Foundation Model-Based Robot Planning via Symbolic Code Generation
by: Chen, Yongchao, et al.
Published: (2025)
by: Chen, Yongchao, et al.
Published: (2025)
Similar Items
-
Uncertainty Resolution in Misinformation Detection
by: Orlovskiy, Yury, et al.
Published: (2024) -
Why Misinformation is Created? Detecting them by Integrating Intent Features
by: Wang, Bing, et al.
Published: (2024) -
When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits
by: Magomere, Jabez, et al.
Published: (2025) -
Zero-Shot Warning Generation for Misinformative Multimodal Content
by: Delvecchio, Giovanni Pio, et al.
Published: (2025) -
Misinformation Detection using Large Language Models with Explainability
by: Patel, Jainee, et al.
Published: (2025)