Haochen Li

Gradient Information and Regularization for Gene Expression Programming to Develop Data-Driven Physics Closure Models

2022 · arXiv (Cornell University)

Learning accurate numerical constants when developing algebraic models is a known challenge for evolutionary algorithms, such as Gene Expression Programming (GEP). This paper introduces the concept of adaptive symbols to the GEP framework by Weatheritt …

Rethinking Negative Pairs in Code Search

2023

Recently, contrastive learning has become a key component in fine-tuning code search models for software development efficiency and effectiveness. It pulls together positive code snippets while pushing negative samples away given search queries. Among contrastive …