3 accepted papers
Large language models have demonstrated outstanding performance in various natural language processing tasks, but their security capabilities in the financial domain have not been explored, and their performance on complex tasks like financial agent remains unknown. This paper presents FinEval, a be…
Evaluating the ability of large language models (LLMs) to process lengthy contexts is critical, especially for retrieving query-relevant information embedded within them. We introduce Sequential-NIAH, a benchmark specifically designed to evaluate the capability of LLMs to extract sequential informat
Cross spectral stereo matching aims to estimate disparity from color (RGB) and near-infrared (NIR) image pairs. The main difference from traditional stereo matching is that there is a big gap between two spectral bands, which makes cross spectral stereo matching a challenging task. In this letter, w