45 citations · 127 across the 24 of their papers we have counts for
4 papers · 1 filter
A Benchmark for Open-Domain Numerical Fact-Checking Enhanced by Claim Decomposition
V Venktesh, Deepali Prabhu, Avishek Anand
Fact-checking numerical claims is critical as the presence of numbers provide mirage of veracity despite being fake potentially causing catastrophic impacts on society. The prior w…
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…
Sample Efficient Demonstration Selection for In-Context Learning
Kiran Purohit, V Venktesh, Sourangshu Bhattacharya +1
The in-context learning paradigm with LLMs has been instrumental in advancing a wide range of natural language processing tasks. The selection of few-shot examples (exemplars / dem…
FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking
Kevin Nanekhan, Venktesh V, Erik Martin +3
The advances in digital tools have led to the rampant spread of misinformation. While fact-checking aims to combat this, manual fact-checking is cumbersome and not scalable. It is…