Aryaz Eghbali

Information Systems · 2023

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 20 citations into it
• Software — 20 citations into it
• Artificial Intelligence — 13 citations into it
• Natural Language Processing — 10 citations into it

Whom Aryaz Eghbali trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Koushik Sen
2. Christoph Csallner
3. Carlos Pacheco
4. Michael Pradel
5. Laria Reynolds
6. Miltiadis Allamanis

Papers from Aryaz Eghbali's perspective

Ordered by how strongly the researchers Aryaz Eghbali trusts endorse each paper. Same corpus, a different order for every researcher.

1. Language Models are Few-Shot Learners (Neural Information Processing Systems)
2. DeepFix: Fixing Common C Language Errors by Deep Learning
3. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Defects4J: a database of existing faults to enable controlled testing studies for Java programs
6. Learning to Represent Programs with Graphs
7. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
8. DART: directed automated random testing (ACM-SIGPLAN Symposium on Programming Language Design and Implementation)
9. Evaluating Large Language Models Trained on Code (arXiv.org)
10. CUTE: a concolic unit testing engine for C (ESEC/FSE-13)

Their papers

• An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation (2023) — 557 citations