2 papers
cs.AI2025
SECQUE: A Benchmark for Evaluating Real-World Financial Analysis Capabilities
Noga Ben Yoash, Meni Brief, Oded Ovadia +4
We introduce SECQUE, a comprehensive benchmark for evaluating large language models (LLMs) in financial analysis tasks. SECQUE comprises 565 expert-written questions covering SEC f…
cs.DB2024
ReMatch: Retrieval Enhanced Schema Matching with LLMs
Eitam Sheetrit, Menachem Brief, Moshik Mishaeli +1
Schema matching is a crucial task in data integration, involving the alignment of a source schema with a target schema to establish correspondence between their elements. This task…