activity
20242026
most citedQuestGen: Effectiveness of Question Generation Methods for Fact-Checking Applications

4 citations · 7 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Towards Robust Numerical Claim Verification

Peter Røysland Aarnes, Vinay Setty

Large language models (LLMs) are widely used for claim verification, yet remain brittle for numerical reasoning: even small changes in value can sharply degrade accuracy. We show t…

cs.CL2025

NumPert: Numerical Perturbations to Probe Language Models for Veracity Prediction

Peter Røysland Aarnes, Vinay Setty

Large language models show strong performance on knowledge intensive tasks such as fact-checking and question answering, yet they often struggle with numerical reasoning. We presen…

cs.CL2024★ 3 cited

IAI Group at CheckThat! 2024: Transformer Models and Data Augmentation for Checkworthy Claim Detection

Peter Røysland Aarnes, Vinay Setty, Petra Galuščáková

This paper describes IAI group's participation for automated check-worthiness estimation for claims, within the framework of the 2024 CheckThat! Lab "Task 1: Check-Worthiness Estim…

cs.CL2024★ 4 cited

QuestGen: Effectiveness of Question Generation Methods for Fact-Checking Applications

Ritvik Setty, Vinay Setty

Verifying fact-checking claims poses a significant challenge, even for humans. Recent approaches have demonstrated that decomposing claims into relevant questions to gather evidenc…

cs.CL2024

FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking

Vinay Setty

We introduce 'FactCheck Editor', an advanced text editor designed to automate fact-checking and correct factual inaccuracies. Given the widespread issue of misinformation, often a…

cs.HC2024

PKG API: A Tool for Personal Knowledge Graph Management

Nolwenn Bernard, Ivica Kostric, Weronika Łajewska +4

Personal knowledge graphs (PKGs) offer individuals a way to store and consolidate their fragmented personal data in a central place, improving service personalization while maintai…

cs.CL2024

Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models

Vinay Setty

In this paper, we explore the challenges associated with establishing an end-to-end fact-checking pipeline in a real-world context, covering over 90 languages. Our real-world exper…