Saved in:
| Main Authors: | Chan, Jason, Gaizauskas, Robert, Zhao, Zhixue |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.04177 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Position: On the Methodological Pitfalls of Evaluating Base LLMs for Reasoning
by: Chan, Jason, et al.
Published: (2025)
by: Chan, Jason, et al.
Published: (2025)
RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning
by: Chan, Jason, et al.
Published: (2024)
by: Chan, Jason, et al.
Published: (2024)
Explanation Generation for Contradiction Reconciliation with LLMs
by: Chan, Jason, et al.
Published: (2026)
by: Chan, Jason, et al.
Published: (2026)
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
by: Tang, Liyan, et al.
Published: (2024)
by: Tang, Liyan, et al.
Published: (2024)
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)
How LLMs Fail to Support Fact-Checking
by: Proma, Adiba Mahbub, et al.
Published: (2025)
by: Proma, Adiba Mahbub, et al.
Published: (2025)
InFi-Check: Interpretable and Fine-Grained Fact-Checking of LLMs
by: Bai, Yuzhuo, et al.
Published: (2026)
by: Bai, Yuzhuo, et al.
Published: (2026)
Facts are Harder Than Opinions -- A Multilingual, Comparative Analysis of LLM-Based Fact-Checking Reliability
by: Saju, Lorraine, et al.
Published: (2025)
by: Saju, Lorraine, et al.
Published: (2025)
OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs
by: Wang, Yuxia, et al.
Published: (2024)
by: Wang, Yuxia, et al.
Published: (2024)
Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs
by: Vladika, Juraj, et al.
Published: (2025)
by: Vladika, Juraj, et al.
Published: (2025)
Has this Fact been Edited? Detecting Knowledge Edits in Language Models
by: Youssef, Paul, et al.
Published: (2024)
by: Youssef, Paul, et al.
Published: (2024)
Context Shapes LLMs Retrieval-Augmented Fact-Checking Effectiveness
by: Bernardelle, Pietro, et al.
Published: (2026)
by: Bernardelle, Pietro, et al.
Published: (2026)
Can LLMs Automate Fact-Checking Article Writing?
by: Sahnan, Dhruv, et al.
Published: (2025)
by: Sahnan, Dhruv, et al.
Published: (2025)
FactSim: Fact-Checking for Opinion Summarization
by: Anghinoni, Leandro, et al.
Published: (2026)
by: Anghinoni, Leandro, et al.
Published: (2026)
FactSelfCheck: Fact-Level Black-Box Hallucination Detection for LLMs
by: Sawczyn, Albert, et al.
Published: (2025)
by: Sawczyn, Albert, 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)
FactFinders at CheckThat! 2024: Refining Check-worthy Statement Detection with LLMs through Data Pruning
by: Li, Yufeng, et al.
Published: (2024)
by: Li, Yufeng, et al.
Published: (2024)
(Fact) Check Your Bias
by: Bakke, Eivind Morris, et al.
Published: (2025)
by: Bakke, Eivind Morris, et al.
Published: (2025)
Multilingual Previously Fact-Checked Claim Retrieval
by: Pikuliak, Matúš, et al.
Published: (2023)
by: Pikuliak, Matúš, et al.
Published: (2023)
It's All About In-Context Learning! Teaching Extremely Low-Resource Languages to LLMs
by: Li, Yue, et al.
Published: (2025)
by: Li, Yue, et al.
Published: (2025)
Mitigating Hallucinations in Healthcare LLMs with Granular Fact-Checking and Domain-Specific Adaptation
by: Zeba, Musarrat, et al.
Published: (2025)
by: Zeba, Musarrat, et al.
Published: (2025)
The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking
by: Struß, Julia Maria, et al.
Published: (2026)
by: Struß, Julia Maria, et al.
Published: (2026)
GraphCheck: Multipath Fact-Checking with Entity-Relationship Graphs
by: Jeon, Hyewon, et al.
Published: (2025)
by: Jeon, Hyewon, et al.
Published: (2025)
Tracing and Reversing Edits in LLMs
by: Youssef, Paul, et al.
Published: (2025)
by: Youssef, Paul, et al.
Published: (2025)
UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and Benchmarking
by: Ahmad, Sarfraz, et al.
Published: (2025)
by: Ahmad, Sarfraz, et al.
Published: (2025)
Robustness of Neurosymbolic Reasoners on First-Order Logic Problems
by: Bansal, Hannah, et al.
Published: (2025)
by: Bansal, Hannah, et al.
Published: (2025)
Face the Facts! Evaluating RAG-based Pipelines for Professional Fact-Checking
by: Russo, Daniel, et al.
Published: (2024)
by: Russo, Daniel, et al.
Published: (2024)
When Hate Meets Facts: LLMs-in-the-Loop for Check-worthiness Detection in Hate Speech
by: Ocampo, Nicolás Benjamín, et al.
Published: (2026)
by: Ocampo, Nicolás Benjamín, et al.
Published: (2026)
FACT-GPT: Fact-Checking Augmentation via Claim Matching with LLMs
by: Choi, Eun Cheol, et al.
Published: (2024)
by: Choi, Eun Cheol, et al.
Published: (2024)
RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict
by: Zeng, Yirong, et al.
Published: (2024)
by: Zeng, Yirong, et al.
Published: (2024)
CANDY: Benchmarking LLMs' Limitations and Assistive Potential in Chinese Misinformation Fact-Checking
by: Guo, Ruiling, et al.
Published: (2025)
by: Guo, Ruiling, et al.
Published: (2025)
How to Make LLMs Forget: On Reversing In-Context Knowledge Edits
by: Youssef, Paul, et al.
Published: (2024)
by: Youssef, Paul, et al.
Published: (2024)
Explaining Sources of Uncertainty in Automated Fact-Checking
by: Sun, Jingyi, et al.
Published: (2025)
by: Sun, Jingyi, et al.
Published: (2025)
Annotation Tool and Dataset for Fact-Checking Podcasts
by: Setty, Vinay, et al.
Published: (2025)
by: Setty, Vinay, et al.
Published: (2025)
Fact Checking Beyond Training Set
by: Karisani, Payam, et al.
Published: (2024)
by: Karisani, Payam, et al.
Published: (2024)
PolBiX: Detecting LLMs' Political Bias in Fact-Checking through X-phemisms
by: Jakob, Charlott, et al.
Published: (2025)
by: Jakob, Charlott, et al.
Published: (2025)
OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs
by: Iqbal, Hasan, et al.
Published: (2024)
by: Iqbal, Hasan, et al.
Published: (2024)
ViFactCheck: A New Benchmark Dataset and Methods for Multi-domain News Fact-Checking in Vietnamese
by: Hoa, Tran Thai, et al.
Published: (2024)
by: Hoa, Tran Thai, 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)
CaseFacts: A Benchmark for Legal Fact-Checking and Precedent Retrieval
by: Putta, Akshith Reddy, et al.
Published: (2026)
by: Putta, Akshith Reddy, et al.
Published: (2026)
Similar Items
-
Position: On the Methodological Pitfalls of Evaluating Base LLMs for Reasoning
by: Chan, Jason, et al.
Published: (2025) -
RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning
by: Chan, Jason, et al.
Published: (2024) -
Explanation Generation for Contradiction Reconciliation with LLMs
by: Chan, Jason, et al.
Published: (2026) -
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
by: Tang, Liyan, et al.
Published: (2024) -
Can LLMs Produce Faithful Explanations For Fact-checking? Towards Faithful Explainable Fact-Checking via Multi-Agent Debate
by: Kim, Kyungha, et al.
Published: (2024)