1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2026
MACTS-EM: Multi-Agent Collaborative Time Series Forecasting with Emergent Memory
Ahmad Shahi, Mamehgol Yousefi
Time series forecasting remains a critical challenge across numerous domains. Despite significant advancements, existing approaches struggle with complex phenomena such as regime s…
cs.LG2026
Conformal Adversarial Generative Ensemble
Ahmad Shahi, Mamehgol Yousefi, Brendon J. Woodford +2
Accurate time series forecasting is critical across various domains, yet traditional ensemble methods often suffer from the disproportionate influence of extreme forecasts. We intr…
cs.CL2026★ 1 cited
Evaluating the Effects of Prompt Perturbation on Bias and Hallucination in Large Language Models
Mamehgol Yousefi, Ahmad Shahi, Mos Sharifi +3
Large language models (LLMs) have shown remarkable capabilities in various natural language processing tasks, leading to their widespread deployment as intelligent assistants in de…