9 papers
Multilingual Fact-Checking at Scale: Fine-Tuned Compact Models vs LLMs
Pratuat Amatya, Vinay Setty
We present a multilingual fact-checking system deployed at Factiverse, designed for high-throughput and low-latency operation across diverse languages. The system follows a modular…
The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking
Julia Maria StruÃ, Sebastian Schellhammer, Stefan Dietze +9
The CheckThat! lab aims to advance the development of innovative technologies combating disinformation and manipulation efforts in online communication across a multitude of langua…
One LLM to Train Them All: Multi-Task Learning Framework for Fact-Checking
Malin Astrid Larsson, Harald Fosen Grunnaleite, Vinay Setty
Large language models (LLMs) are reshaping automated fact-checking (AFC) by enabling unified, end-to-end verification pipelines rather than isolated components. While large proprie…
Think Right, Not More: Test-Time Scaling for Numerical Claim Verification
Primakov Chungkham, V Venktesh, Vinay Setty +1
Fact-checking real-world claims, particularly numerical claims, is inherently complex that require multistep reasoning and numerical reasoning for verifying diverse aspects of the…
ShortCheck: Checkworthiness Detection of Multilingual Short-Form Videos
Henrik Vatndal, Vinay Setty
Short-form video platforms like TikTok present unique challenges for misinformation detection due to their multimodal, dynamic, and noisy content. We present ShortCheck, a modular,…
The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval
Firoj Alam, Julia Maria StruÃ, Tanmoy Chakraborty +11
The CheckThat! lab aims to advance the development of innovative technologies designed to identify and counteract online disinformation and manipulation efforts across various lang…