all AI news
NUMTEMP: A real-world benchmark to verify claims with statistical and temporal expressions
March 27, 2024, 4:48 a.m. | Venktesh V, Abhijit Anand, Avishek Anand, Vinay Setty
cs.CL updates on arXiv.org arxiv.org
Abstract: Automated fact checking has gained immense interest to tackle the growing misinformation in the digital era. Existing systems primarily focus on synthetic claims on Wikipedia, and noteworthy progress has also been made on real-world claims. In this work, we release Numtemp, a diverse, multi-domain dataset focused exclusively on numerical claims, encompassing temporal, statistical and diverse aspects with fine-grained metadata and an evidence collection without leakage. This addresses the challenge of verifying real-world numerical claims, which …
abstract arxiv automated benchmark cs.ai cs.cl digital diverse focus misinformation progress release statistical synthetic systems temporal type verify wikipedia work world
More from arxiv.org / cs.CL updates on arXiv.org
Benchmarking LLMs via Uncertainty Quantification
1 day, 15 hours ago |
arxiv.org
CARE: Extracting Experimental Findings From Clinical Literature
1 day, 15 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Intern Large Language Models Planning (f/m/x)
@ BMW Group | Munich, DE
Data Engineer Analytics
@ Meta | Menlo Park, CA | Remote, US