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 ...

Abstract: The purpose of this research is to upgrade accessibility and cross-language information retrieval by fashioning a Multilingual Text Recognition and Interpretation System. This system seeks ...

lexstyle defines editorial rules as typed data and serializes them into deterministic plain text that language models can follow. It ships one canonical rule set with layered overrides for local ...