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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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5 results for GPA

GPA improves LLM training speed by 8.71% for Llama-160M models.

problem Training Large Language Models (LLMs) with high memory overhead and slow convergence.
method Generalized Primal Averaging (GPA) extends Nesterov's method to eliminate memory-intensive two-loop structure.
result GPA achieves up to 10.13% speedup over AdamW in training Llama-1B model.

Proposes grade-aware course recommendation methods to improve student GPA.

problem Helping students select courses that lead to timely graduation and good grades.
method Two approaches: ranking courses by expected GPA impact and combining grade predictions with course recommendations.
result Grade-aware methods recommend courses leading to better student performance.

Study predicts academic achievement using students' support networks.

problem Predicting academic achievement in college students.
method Decision tree and random forest algorithms applied to Ties data.
result Different types of support are important for different demographics and genders.