Abstract: Forecasting equity markets has traditionally relied on structured data sources, such as historical prices, fundamentals, and macroeconomic indicators. However, unstructured data, including ...

Reasoning over very long inputs remains difficult for large language models (LLMs). Common workarounds either shrink the input via retrieval (risking missed evidence), enlarge the context window ...

Rafael Grossi, head of the International Atomic Energy Agency, said Iran has an “ambitious” nuclear program but doesn’t have a program for building nuclear weapons currently. “It is an evaluation that ...

Abstract: Traditional malware detection techniques often struggle against the sophisticated obfuscation methods employed by modern malware. To address this challenge, this paper proposes HyperMD, a ...

LONDON, Feb 20 (Reuters Breakingviews) - Not long ago, memory chip makers were in crisis. A post-pandemic supply glut in 2023 pushed prices into freefall, wiping out operating profits across the ...

We developed and evaluated a pipeline combining Mistral Large LLM and a postprocessing phase. The pipeline's performance was assessed both at document and patient levels. For evaluation, two data sets ...

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...