2 papers
cs.CL2024
EQUATOR: A Deterministic Framework for Evaluating LLM Reasoning with Open-Ended Questions. # v1.0.0-beta
Raymond Bernard, Shaina Raza, Subhabrata Das +1
Despite the remarkable coherence of Large Language Models (LLMs), existing evaluation methods often suffer from fluency bias and rely heavily on multiple-choice formats, making it…
q-fin.CP2024
Enhanced Momentum with Momentum Transformers
Max Mason, Waasi A Jagirdar, David Huang +1
The primary objective of this research is to build a Momentum Transformer that is expected to outperform benchmark time-series momentum and mean-reversion trading strategies. We ex…