EXAONE Finance: Attention‑Free Foundations for Scalable Financial Time‑Series Forecasting
Executive Takeaway EXAONE Finance delivers a purpose‑built, attention‑free foundation model for financial time‑series forecasting. By replacing quadratic self‑attention with a causal 1‑D convolution and a group‑aware pooling MLP, the model achieves linear compute scaling, can ingest thousands of variates, and tolerates intermittent observations—properties that directly address the bottlenecks of existing general‑purpose TSFMs. For practitioners, this […]