2025/06/25 by Dror Ivry, Ivry, Dror, Oran Nahum +1
Computer Science · Social Sciences · #Context-Aware Activity Recognition Systems #Geographic Information Systems Studies #Time Series Analysis and Forecasting
paper · pdf · doi:10.48550/arxiv.2506.20384
This paper introduces two significant contributions to address the issue of grounding claims in a given context. Grounding means that given a context (document) and a claim, there's at least one supportive evidence for the claim in the document. We will introduce Paladin-mini, a compact (3.8B parameters) open-source classifier model (used for labeling data as grounded or ungrounded) engineered for robust performance in real-world scenarios, and the grounding-benchmark, a new evaluation dataset designed to assess performance on critical reasoning tasks. We'll also demonstrate the results of Paladin-mini with benchmarks against the current State-of-the-art and share clear and reproducible results.