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Fardin Ahmed

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#artificial intelligence Preprint Sep 2026

Forecast-Dojo: Replayable Environments for Benchmarking and Training LLM Forecasting Agents

We introduce Forecast-Dojo, a replayable environment for benchmarking and training LLM forecasting agents. It combines resolved prediction-market questions with dated news, allowing agents to research an event and revisit their predictions at successive historical dates. The same tasks and tools support repeated evalua...

Li-Qin Ye, Hao-Rui Wang, Fardin Ahmed et al. · 0 citations
Conference Open access Aug 2026

Operational Threshold-Embedded Machine Learning Models for Accurate Hydraulic Fracturing Monitoring

Hydraulic fracturing is critical process in unconventional reservoir development, where accurate real time monitoring directly impacts operational safety, job efficiency and financial aspect. This study presents a hybrid framework integrating domain specific operational thresholds with supervised machine learning for a...

Fardin Ahmed, M. Rahman · 0 citations

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