Fact-checking AI-generated news reports: Can LLMs catch their own lies?
Fuente:
arXiv
Saved in:
| Main Authors: | Yao, Jiayi, Sun, Haibo, Xue, Nianwen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate
by: Kim, Kyungha, et al.
Published: (2024)
by: Kim, Kyungha, et al.
Published: (2024)
CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation
by: Petullo, James, et al.
Published: (2026)
by: Petullo, James, et al.
Published: (2026)
Automatic Fact-checking in English and Telugu
by: Chikkala, Ravi Kiran, et al.
Published: (2025)
by: Chikkala, Ravi Kiran, et al.
Published: (2025)
Scalable Fact-checking with Human-in-the-Loop
by: Yang, Jing, et al.
Published: (2021)
by: Yang, Jing, et al.
Published: (2021)
Attacks by Content: Automated Fact-checking is an AI Security Issue
by: Schlichtkrull, Michael
Published: (2025)
by: Schlichtkrull, Michael
Published: (2025)
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
by: Liu, Houjiang, et al.
Published: (2023)
by: Liu, Houjiang, et al.
Published: (2023)
Fact-checking with Generative AI: A Systematic Cross-Topic Examination of LLMs Capacity to Detect Veracity of Political Information
by: Kuznetsova, Elizaveta, et al.
Published: (2025)
by: Kuznetsova, Elizaveta, et al.
Published: (2025)
Logical Consistency of Large Language Models in Fact-checking
by: Ghosh, Bishwamittra, et al.
Published: (2024)
by: Ghosh, Bishwamittra, et al.
Published: (2024)
MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses
by: Chen, Tong, et al.
Published: (2025)
by: Chen, Tong, et al.
Published: (2025)
Explainable Fact-checking through Question Answering
by: Yang, Jing, et al.
Published: (2021)
by: Yang, Jing, et al.
Published: (2021)
fact check AI at SemEval-2025 Task 7: Multilingual and Crosslingual Fact-checked Claim Retrieval
by: Rastogi, Pranshu
Published: (2025)
by: Rastogi, Pranshu
Published: (2025)
Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System
by: He, Haorui, et al.
Published: (2025)
by: He, Haorui, et al.
Published: (2025)
KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking
by: Lourenço, Vítor N., et al.
Published: (2026)
by: Lourenço, Vítor N., et al.
Published: (2026)
The Perils & Promises of Fact-checking with Large Language Models
by: Quelle, Dorian, et al.
Published: (2023)
by: Quelle, Dorian, et al.
Published: (2023)
Learning to Generate and Evaluate Fact-checking Explanations with Transformers
by: Feher, Darius, et al.
Published: (2024)
by: Feher, Darius, et al.
Published: (2024)
Entity-aware Cross-lingual Claim Detection for Automated Fact-checking
by: Panchendrarajan, Rrubaa, et al.
Published: (2025)
by: Panchendrarajan, Rrubaa, et al.
Published: (2025)
Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking
by: Pisarevskaya, Dina, et al.
Published: (2025)
by: Pisarevskaya, Dina, et al.
Published: (2025)
FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking
by: Setty, Vinay
Published: (2024)
by: Setty, Vinay
Published: (2024)
Can LLMs Automate Fact-Checking Article Writing?
by: Sahnan, Dhruv, et al.
Published: (2025)
by: Sahnan, Dhruv, et al.
Published: (2025)
FIRE: Fact-checking with Iterative Retrieval and Verification
by: Xie, Zhuohan, et al.
Published: (2024)
by: Xie, Zhuohan, et al.
Published: (2024)
Fact-checking based fake news detection: a review
by: Yang, Yuzhou, et al.
Published: (2024)
by: Yang, Yuzhou, et al.
Published: (2024)
Can LLMs extract human-like fine-grained evidence for evidence-based fact-checking?
by: Jarolím, Antonín, et al.
Published: (2025)
by: Jarolím, Antonín, et al.
Published: (2025)
Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions?
by: Beigi, Alimohammad, et al.
Published: (2024)
by: Beigi, Alimohammad, et al.
Published: (2024)
Fact or Fiction? Can LLMs be Reliable Annotators for Political Truths?
by: Chatrath, Veronica, et al.
Published: (2024)
by: Chatrath, Veronica, et al.
Published: (2024)
Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Research
by: Panchendrarajan, Rrubaa, et al.
Published: (2024)
by: Panchendrarajan, Rrubaa, et al.
Published: (2024)
MPN: Leveraging Multilingual Patch Neuron for Cross-lingual Model Editing
by: Si, Nianwen, et al.
Published: (2024)
by: Si, Nianwen, et al.
Published: (2024)
Credible, Unreliable or Leaked?: Evidence Verification for Enhanced Automated Fact-checking
by: Chrysidis, Zacharias, et al.
Published: (2024)
by: Chrysidis, Zacharias, et al.
Published: (2024)
Supporting Automated Fact-checking across Topics: Similarity-driven Gradual Topic Learning for Claim Detection
by: Abumansour, Amani S., et al.
Published: (2024)
by: Abumansour, Amani S., et al.
Published: (2024)
SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing
by: Liu, Hongjun, et al.
Published: (2025)
by: Liu, Hongjun, et al.
Published: (2025)
Computational Fact-Checking of Online Discourse: Scoring scientific accuracy in climate change related news articles
by: Wittenborg, Tim, et al.
Published: (2025)
by: Wittenborg, Tim, et al.
Published: (2025)
Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language
by: Drchal, Jan, et al.
Published: (2023)
by: Drchal, Jan, et al.
Published: (2023)
Semi-automated Fact-checking in Portuguese: Corpora Enrichment using Retrieval with Claim extraction
by: Gomes, Juliana Resplande Sant'anna, et al.
Published: (2025)
by: Gomes, Juliana Resplande Sant'anna, et al.
Published: (2025)
Computational frame analysis revisited: On LLMs for studying news coverage
by: Kunjar, Sharaj, et al.
Published: (2025)
by: Kunjar, Sharaj, et al.
Published: (2025)
Bias in the Mirror: Are LLMs opinions robust to their own adversarial attacks ?
by: Rennard, Virgile, et al.
Published: (2024)
by: Rennard, Virgile, et al.
Published: (2024)
Break Me If You Can: Self-Jailbreaking of Aligned LLMs via Lexical Insertion Prompting
by: Kulshreshtha, Devang, et al.
Published: (2026)
by: Kulshreshtha, Devang, et al.
Published: (2026)
When lies are mostly truthful: automated verbal deception detection for embedded lies
by: Loconte, Riccardo, et al.
Published: (2025)
by: Loconte, Riccardo, et al.
Published: (2025)
Enhancing Document-level Argument Extraction with Definition-augmented Heuristic-driven Prompting for LLMs
by: Sun, Tongyue, et al.
Published: (2024)
by: Sun, Tongyue, et al.
Published: (2024)
Can LLMs capture stable human-generated sentence entropy measures?
by: Pivel-Villanueva, Estrella, et al.
Published: (2026)
by: Pivel-Villanueva, Estrella, et al.
Published: (2026)
"A good pun is its own reword": Can Large Language Models Understand Puns?
by: Xu, Zhijun, et al.
Published: (2024)
by: Xu, Zhijun, et al.
Published: (2024)
FaaF: Facts as a Function for the evaluation of generated text
by: Katranidis, Vasileios, et al.
Published: (2024)
by: Katranidis, Vasileios, et al.
Published: (2024)
Similar Items
-
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate
by: Kim, Kyungha, et al.
Published: (2024) -
CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation
by: Petullo, James, et al.
Published: (2026) -
Automatic Fact-checking in English and Telugu
by: Chikkala, Ravi Kiran, et al.
Published: (2025) -
Scalable Fact-checking with Human-in-the-Loop
by: Yang, Jing, et al.
Published: (2021) -
Attacks by Content: Automated Fact-checking is an AI Security Issue
by: Schlichtkrull, Michael
Published: (2025)