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📑 arXiv 3d ago

Assessing the Potential of Masked Autoencoder Foundation Models in Predicting Downhole Metrics from Surface Drilling Data

Systematic review of 13 papers finds no existing work applies Masked Autoencoder Foundation Models to predict downhole oil/gas drilling metrics from surface sensor time-series, despite MAEFMs' proven effectiveness in time-series modeling. Current approaches rely on ANNs and LSTMs but struggle with scarce labeled downhole measurements.

Time-seriesFoundation-modelsDomain-specific
📑 arXiv 3d ago

QuantCode-Bench: A Benchmark for Evaluating the Ability of Large Language Models to Generate Executable Algorithmic Trading Strategies

QuantCode-Bench provides 400 tasks evaluating LLMs on generating executable algorithmic trading strategies for Backtrader from English descriptions. Unlike standard code benchmarks, requires domain-specific financial logic, specialized API knowledge, and code producing actual trades on historical data, with tasks sourced from Reddit, TradingView, and synthetic generators.

BenchmarksCode GenEvaluationDomain-specific