ArXiv_LLM is a fine-tuned version of all-mpnet-base-v2, trained on the ArXiv dataset. Due to computational limitations and restricted infrastructure, training was limited to just three epochs, preventing the model from achieving its full performance potential.

This model was developed as part of a Master's thesis in Applied Statistics and Data Science, titled "Optimizando la B煤squeda Sem谩ntica en ArXiv: Evaluaci贸n de Modelos LLMs y Herramientas de Indexaci贸n Vectorial"

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