Fact4ac at the Financial Misinformation Detection Challenge Task: Reference-Free Financial Misinformation Detection via Fine-Tuning and Few-Shot Prompting of Large Language Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Hoang, Cuong, Nguyen, Le-Minh |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
FMDLlama: Financial Misinformation Detection based on Large Language Models
por: Liu, Zhiwei, et al.
Publicado: (2024)
por: Liu, Zhiwei, et al.
Publicado: (2024)
All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection
por: Jiang, Yuechen, et al.
Publicado: (2026)
por: Jiang, Yuechen, et al.
Publicado: (2026)
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains
por: Purbey, Jebish, et al.
Publicado: (2024)
por: Purbey, Jebish, et al.
Publicado: (2024)
Misinformation Detection using Large Language Models with Explainability
por: Patel, Jainee, et al.
Publicado: (2025)
por: Patel, Jainee, et al.
Publicado: (2025)
FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection
por: Araya, Daniel Berhane, et al.
Publicado: (2025)
por: Araya, Daniel Berhane, et al.
Publicado: (2025)
MFMDQwen: Multilingual Financial Misinformation Detection Based on Large Language Model
por: Liu, Zhiwei, et al.
Publicado: (2026)
por: Liu, Zhiwei, et al.
Publicado: (2026)
Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection
por: Liu, Zhiwei, et al.
Publicado: (2026)
por: Liu, Zhiwei, et al.
Publicado: (2026)
Multimodal Misinformation Detection using Large Vision-Language Models
por: Tahmasebi, Sahar, et al.
Publicado: (2024)
por: Tahmasebi, Sahar, et al.
Publicado: (2024)
ReviewScore: Misinformed Peer Review Detection with Large Language Models
por: Ryu, Hyun, et al.
Publicado: (2025)
por: Ryu, Hyun, et al.
Publicado: (2025)
Unified Large Language Models for Misinformation Detection in Low-Resource Linguistic Settings
por: Islam, Muhammad, et al.
Publicado: (2025)
por: Islam, Muhammad, et al.
Publicado: (2025)
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
por: Liu, Xukai, et al.
Publicado: (2024)
por: Liu, Xukai, et al.
Publicado: (2024)
RAMA: Retrieval-Augmented Multi-Agent Framework for Misinformation Detection in Multimodal Fact-Checking
por: Yang, Shuo, et al.
Publicado: (2025)
por: Yang, Shuo, et al.
Publicado: (2025)
Can Large Language Models Detect Misinformation in Scientific News Reporting?
por: Cao, Yupeng, et al.
Publicado: (2024)
por: Cao, Yupeng, et al.
Publicado: (2024)
On the Reliability of Large Language Models to Misinformed and Demographically-Informed Prompts
por: Aremu, Toluwani, et al.
Publicado: (2024)
por: Aremu, Toluwani, et al.
Publicado: (2024)
Uncertainty Resolution in Misinformation Detection
por: Orlovskiy, Yury, et al.
Publicado: (2024)
por: Orlovskiy, Yury, et al.
Publicado: (2024)
Debate-to-Detect: Reformulating Misinformation Detection as a Real-World Debate with Large Language Models
por: Han, Chen, et al.
Publicado: (2025)
por: Han, Chen, et al.
Publicado: (2025)
Unlearning Climate Misinformation in Large Language Models
por: Fore, Michael, et al.
Publicado: (2024)
por: Fore, Michael, et al.
Publicado: (2024)
Are Rationales Necessary and Sufficient? Tuning LLMs for Explainable Misinformation Detection
por: Wang, Bing, et al.
Publicado: (2026)
por: Wang, Bing, et al.
Publicado: (2026)
Emotion Detection for Misinformation: A Review
por: Liu, Zhiwei, et al.
Publicado: (2023)
por: Liu, Zhiwei, et al.
Publicado: (2023)
Attacking Misinformation Detection Using Adversarial Examples Generated by Language Models
por: Przybyła, Piotr, et al.
Publicado: (2024)
por: Przybyła, Piotr, et al.
Publicado: (2024)
CommunityFact: A Dynamic, Multilingual, Multi-domain Benchmark for Misinformation Detection in the Wild
por: Singh, Sahajpreet, et al.
Publicado: (2026)
por: Singh, Sahajpreet, et al.
Publicado: (2026)
Zero-Shot Warning Generation for Misinformative Multimodal Content
por: Delvecchio, Giovanni Pio, et al.
Publicado: (2025)
por: Delvecchio, Giovanni Pio, et al.
Publicado: (2025)
Misinformation Span Detection in Videos via Audio Transcripts
por: Matos, Breno, et al.
Publicado: (2026)
por: Matos, Breno, et al.
Publicado: (2026)
Retrieval-Augmented Few-Shot Prompting Versus Fine-Tuning for Code Vulnerability Detection
por: Trad, Fouad, et al.
Publicado: (2025)
por: Trad, Fouad, et al.
Publicado: (2025)
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection
por: Qi, Peng, et al.
Publicado: (2024)
por: Qi, Peng, et al.
Publicado: (2024)
Fighting Fire with Fire: Adversarial Prompting to Generate a Misinformation Detection Dataset
por: Satapara, Shrey, et al.
Publicado: (2024)
por: Satapara, Shrey, et al.
Publicado: (2024)
Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection
por: Wahle, Jan Philip, et al.
Publicado: (2021)
por: Wahle, Jan Philip, et al.
Publicado: (2021)
Optimizing Social Media Annotation of HPV Vaccine Skepticism and Misinformation Using Large Language Models: An Experimental Evaluation of In-Context Learning and Fine-Tuning Stance Detection Across Multiple Models
por: Sun, Luhang, et al.
Publicado: (2024)
por: Sun, Luhang, et al.
Publicado: (2024)
From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation
por: Zhang, Zhihao, et al.
Publicado: (2025)
por: Zhang, Zhihao, et al.
Publicado: (2025)
Interpretable Multimodal Misinformation Detection with Logic Reasoning
por: Liu, Hui, et al.
Publicado: (2023)
por: Liu, Hui, et al.
Publicado: (2023)
SpMis: An Investigation of Synthetic Spoken Misinformation Detection
por: Liu, Peizhuo, et al.
Publicado: (2024)
por: Liu, Peizhuo, et al.
Publicado: (2024)
Misinformation is not about Bad Facts: An Analysis of the Production and Consumption of Fringe Content
por: Lee, JooYoung, et al.
Publicado: (2024)
por: Lee, JooYoung, et al.
Publicado: (2024)
ZeFaV: Boosting Large Language Models for Zero-shot Fact Verification
por: Luu, Son T., et al.
Publicado: (2024)
por: Luu, Son T., et al.
Publicado: (2024)
Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation
por: Luo, Chu Fei, et al.
Publicado: (2024)
por: Luo, Chu Fei, et al.
Publicado: (2024)
SoK: Machine Learning for Misinformation Detection
por: Xiao, Madelyne, et al.
Publicado: (2023)
por: Xiao, Madelyne, et al.
Publicado: (2023)
Online Misinformation Detection in Live Streaming Videos
por: Cao, Rui
Publicado: (2025)
por: Cao, Rui
Publicado: (2025)
Interpretable Detection of Out-of-Context Misinformation with Neural-Symbolic-Enhanced Large Multimodal Model
por: Zhang, Yizhou, et al.
Publicado: (2023)
por: Zhang, Yizhou, et al.
Publicado: (2023)
Can LLM-Generated Misinformation Be Detected?
por: Chen, Canyu, et al.
Publicado: (2023)
por: Chen, Canyu, et al.
Publicado: (2023)
Span Modeling for Idiomaticity and Figurative Language Detection with Span Contrastive Loss
por: Matheny, Blake, et al.
Publicado: (2026)
por: Matheny, Blake, et al.
Publicado: (2026)
OFFSIDE: Benchmarking Unlearning Misinformation in Multimodal Large Language Models
por: Zheng, Hao, et al.
Publicado: (2025)
por: Zheng, Hao, et al.
Publicado: (2025)
Ejemplares similares
-
FMDLlama: Financial Misinformation Detection based on Large Language Models
por: Liu, Zhiwei, et al.
Publicado: (2024) -
All That Glisters Is Not Gold: A Benchmark for Reference-Free Counterfactual Financial Misinformation Detection
por: Jiang, Yuechen, et al.
Publicado: (2026) -
SeQwen at the Financial Misinformation Detection Challenge Task: Sequential Learning for Claim Verification and Explanation Generation in Financial Domains
por: Purbey, Jebish, et al.
Publicado: (2024) -
Misinformation Detection using Large Language Models with Explainability
por: Patel, Jainee, et al.
Publicado: (2025) -
FinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection
por: Araya, Daniel Berhane, et al.
Publicado: (2025)