9.8k citations
- William & MaryUS657 papers
- Thomas Jefferson National Accelerator FacilityUS252 papers
- Argonne National LaboratoryUS127 papers
- Massachusetts Institute of TechnologyUS123 papers
- Old Dominion UniversityUS122 papers
- University of VirginiaUS118 papers
- University of GlasgowGB109 papers
- Centre National de la Recherche ScientifiqueFR107 papers
- A. Alikhanyan National LaboratoryAM102 papers
- Florida International UniversityUS95 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR94 papers
- California Institute of TechnologyUS85 papers
672 papers
Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs
Yanfu Yan, Nathan Cooper, Kevin Moran +3
Impact analysis (IA) is a critical software maintenance task that identifies the effects of a given set of code changes on a larger software project with the intention of avoiding…
Quantum Network Routing based on Surface Code Error Correction
Tianjie Hu, Jindi Wu, Qun Li
Quantum networks encounter unavoidable channel noises and erasure errors, presenting a huge obstacle in designing protocols that attain both high reliability and efficiency. Typica…
Explore LLM-enabled Tools to Facilitate Imaginal Exposure Exercises for Social Anxiety
Yimeng Wang, Yinzhou Wang, Alicia Hong +1
Social anxiety (SA) is a prevalent mental health challenge that significantly impacts daily social interactions. Imaginal Exposure (IE), a Cognitive Behavioral Therapy (CBT) techni…
Towards Comprehensive Benchmarking Infrastructure for LLMs In Software Engineering
Daniel Rodriguez-Cardenas, Xiaochang Li, Marcos Macedo +5
Large language models for code are advancing fast, yet our ability to evaluate them lags behind. Current benchmarks focus on narrow tasks and single metrics, which hide critical ga…
Designing AI Peers for Collaborative Mathematical Problem Solving with Middle School Students: A Participatory Design Study
Wenhan Lyu, Yimeng Wang, Murong Yue +5
Collaborative problem solving (CPS) is a fundamental practice in middle-school mathematics education; however, student groups frequently stall or struggle without ongoing teacher s…
Detecting and Correcting Hallucinations in LLM-Generated Code via Deterministic AST Analysis
Dipin Khati, Daniel Rodriguez-Cardenas, Paul Pantzer +1
Large Language Models (LLMs) for code generation boost productivity but frequently introduce Knowledge Conflicting Hallucinations (KCHs), subtle, semantic errors, such as non-exist…