Abstract: The application of machine learning algorithms to source code has grown in the past years. Since these algorithms are quite sensitive to input data, it is not surprising that researchers ...

A powerful, robust syntax tree representation framework for representing language source code in a "full-fidelity" manner. Based on Swift lib/Syntax and Rust Analyzer Rowan design principles, ...

下記の文章は論文のアブストラクトをChatGPTに解釈させたものであり、正確性は保証しません。 Question 1: 何に関する論文か、専門外の研究者向けに詳しく説明してください。 この論文は、プログラムの構文木に小さなランダム変異を適用する「ツリー ...

Abstract: In this paper, we propose a novel classification method that utilizes syntax trees and perplexity to identify jailbreak attacks that use hostile suffixes to make large language models (LLMs) ...

Large language models (LLMs) have revolutionized code generation, but their autoregressive nature poses a significant challenge. These models generate code token by token, without access to the ...

Empathetic response generation aims to enable dialogue systems to perceive emotions expressed by speakers and generate empathetic responses accordingly. Present methodologies fall short in ...