📄🤖 2 Papers accepted @ EPIA 2026!! 🎉🎉
Excited to share that two of our papers have been accepted at EPIA 2026, covering the robustness of LLMs for code understanding and neuro-symbolic feedback for Vision-Language …
MENTOR: Fixing Introductory Programming Assignments With Formula-Based Fault Localization and LLM-Driven Program Repair
This paper introduces MENTOR, a semantic automated program repair (APR) framework designed to fix faulty student programs. MENTOR validates repairs through execution on a test …
📄 Paper accepted @ the Journal of Systems and Software!! 🎉
Thrilled to share that our paper on MENTOR, a semantic automated program repair (APR) framework that fixes student programs and highlights faulty statements, has been accepted by …
Graph Neural Networks For Mapping Variables Between Programs
In this work, we propose using graph neural networks (GNNs) to map the set of variables between two programs based on both programs' abstract syntax trees (ASTs). To demonstrate …
Learning Variable Mappings to Repair and Verify Programs @ CIIRC 2023
In this talk I will propose using graph neural networks (GNNs) to map the set of variables between two programs based on both programs' abstract syntax trees (ASTs).
MultIPAs: Applying Program Transformations to Introductory Programming Assignments for Data Augmentation @ FSE 2022
In this talk I will present MultIPAs, a program transformation tool that can augment IPAs benchmarks by (1) applying six syntactic mutations that conserve the program's semantics …
MultIPAs: Applying Program Transformations to Introductory Programming Assignments for Data Augmentation
This paper presents MultIPAs, a program transformation tool that can augment IPAs benchmarks by (1) applying six syntactic mutations that conserve the program's semantics and (2) …
Project Proposal: Learning Variable Mappings to Repair Programs @ AITP 2022
In this talk I propose to learn how to map the set of variables between different small imperative programs based on both programs' abstract syntax trees (ASTs) using graph neural …
Project Proposal: Learning Variable Mappings to Repair Programs
In this position paper, we propose to learn how to map the set of variables between different small imperative programs based on both programs' abstract syntax trees (ASTs) using …