MSIFR stops faulty LLM generations early via staged rule-based checks, reducing token consumption 11-78% with no accuracy loss.
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A parsimonious simulation model with cubic momentum for trading direction and Hawkes-inspired self-excitation of trade frequency reproduces endogenous bubble surges followed by crashes.
citing papers explorer
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Know When To Fold 'Em: Token-Efficient LLM Synthetic Data Generation via Multi-Stage In-Flight Rejection
MSIFR stops faulty LLM generations early via staged rule-based checks, reducing token consumption 11-78% with no accuracy loss.
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Dynamics of Periodic Bubbles and Crashes: Modeling Market Overheating and Panic Selling via Cubic Momentum
A parsimonious simulation model with cubic momentum for trading direction and Hawkes-inspired self-excitation of trade frequency reproduces endogenous bubble surges followed by crashes.