Factuality challenges in the era of large language models and opportunities for fact-checking

2024/08/22 by Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha +19 · 1 voice · 30 citations
Computer Science · Social Sciences · #Ethics and Social Impacts of AI #Misinformation and Its Impacts #Topic Modeling

paper · doi:10.1038/s42256-024-00881-z

openalex publication_date 2024/08/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/30

Citations

• On the Dangers of Stochastic Parrots
• ELIZA—a computer program for the study of natural language communication between man and machine
• LLaMA: Open and Efficient Foundation Language Models
• Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
• CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing
• M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection
• Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models
• FLAME: Factuality-Aware Alignment for Large Language Models
• Anatomy of an AI-powered malicious social botnet
• Quantifying the vulnerabilities of the online public square to adversarial manipulation tactics
• Characteristics and prevalence of fake social media profiles with AI-generated faces
• Deep reinforcement learning from human preferences
• SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
• Human Detection of Political Speech Deepfakes across Transcripts, Audio, and Video
• Survey of Hallucination in Natural Language Generation
• FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Cited by

• Large Language Models in Human Subject Research, and the Presence of Idiosyncratic Human Behaviors
• Persuasion Index: A Theory-Guided Framework for Persuasion Analysis
• A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models
• Estimating the Error of Large Language Models at Pairwise Text Comparison
• Misinformation Detection using Large Language Models with Explainability
• Multi-Agent Debate for LLM Judges with Adaptive Stability Detection
• Use of Retrieval-Augmented Large Language Model Agent for Long-Form COVID-19 Fact-Checking
• Mining the Mind: What 100M Beliefs Reveal About Frontier LLM Knowledge
• What is a fact in the age of generative AI? Fact-checking as an epistemological lens
• Exploring Chain-of-Thought Reasoning for Steerable Pluralistic Alignment
• Generative AI and misinformation: a scoping review of the role of generative AI in the generation, detection, mitigation, and impact of misinformation
• From Perception to Cognition: A Survey of Vision-Language Interactive Reasoning in Multimodal Large Language Models
• Think Right, Not More: Test-Time Scaling for Numerical Claim Verification
• DSA, AIA, and LLMs: Approaches to conceptualizing and auditing moderation in LLM-based chatbots across languages and interfaces in the electoral contexts
• Debating debates: a deliberative alternative for televised electoral discussions
• ChatGPT is Bullshit (Partly) Because People are Bullshitters
• Linguistic Nepotism: Trading-off Quality for Language Preference in Multilingual RAG
• AI-Generated Content in Cross-Domain Applications: Research Trends, Challenges and Propositions
• Request a Note: How the Request Function Shapes X's Community Notes System
• Adversarial Attacks Against Automated Fact-Checking: A Survey
• Test-Time Scaling in Reasoning Models Is Not Effective for Knowledge-Intensive Tasks Yet
• EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models
• Conversational AI increases political knowledge as effectively as self-directed internet search
• Generative KI für TA
• A Multi-Task Evaluation of LLMs' Processing of Academic Text Input
• Exploring Content and Social Connections of Fake News with Explainable Text and Graph Learning
• ToolGrad: Efficient Tool-use Dataset Generation with Textual "Gradients"
• An Audit and Analysis of LLM-Assisted Health Misinformation Jailbreaks Against LLMs
• Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models
• AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots

Discussions

• Paper finally out in Nature Machine Intelligence! 🧪 Factuality challenges in the era of large language models and opportunities for fact-checking doi.org/10.1038/s422... Accessible at rdcu.be/dRFy0 [bsky, 7 points, 0 comments]