Soonyoung Lee

Strong performance on generic forecasting metrics can be misleading, as FinVerse reveals that it often fails to translate into effective financial decision-making.

ReasonCast achieves unprecedented integration of time series forecasting and self-explanation, outperforming traditional models while providing causal insights in a single response.

Agents in PCBWorld can achieve near rule-based performance in PCB routing, showcasing the power of interactive, engine-grounded learning.

Channel-specific historical data retrieval boosts multivariate time series forecasting accuracy, finally accounting for the fact that different variables have different rhythms.

Stop relying on keyword matching: FinTexTS uses semantic similarity and LLM-driven multi-level classification to pair financial text with time-series data, boosting stock price prediction.