Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations

12 July 2024

Papers citing "Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations"

5 / 5 papers shown

Title
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Jiawei Liu Chun Xia Yuyao Wang Lingming Zhang ELM ALM 178 780 0 02 May 2023
Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well? Yue Liu C. Tantithamthavorn Li Li Yepang Liu 30 28 0 02 Sep 2022
A Systematic Evaluation of Large Language Models of Code Frank F. Xu Uri Alon Graham Neubig Vincent J. Hellendoorn ELM ALM 196 624 0 26 Feb 2022
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 245 1,977 0 31 Dec 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,658 0 28 Feb 2017