PaperMetrixEvidence-aware discovery
TR
Interface language English EN العربية AR Türkçe TR
Create account
Researcher profile

Yoshitomo Matsubara

2 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. 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 …

  2. 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 …