Yoshitomo Matsubara

Reranking for Efficient Transformer-based Answer Selection

2020

IR-based Question Answering (QA) systems typically use a sentence selector to extract the answer from retrieved documents. Recent studies have shown that powerful neural models based on the Transformer can provide an accurate solution to …

A Transformer Model for Symbolic Regression towards Scientific Discovery

2023 · arXiv (Cornell University)

Symbolic Regression (SR) searches for mathematical expressions which best describe numerical datasets. This allows to circumvent interpretation issues inherent to artificial neural networks, but SR algorithms are often computationally expensive. This work proposes a new …