Gustavo Sandoval

Software Engineering · 2022

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

Subfields

• Software Engineering — 12 citations into it
• Code Generation & Program Synthesis — 11 citations into it
• Human-Computer Interaction — 5 citations into it

Whom Gustavo Sandoval trusts overall

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

1. Saki Imai
2. Hammond A. Pearce
3. Priyan Vaithilingam
4. Amy J. Ko
5. Marco di Biase
6. Kostya Serebryany
7. Mohammed Latif Siddiq
8. Hans Fangohr
9. Tianyi Zhang
10. Thomas D. Latoza

Who trusts Gustavo Sandoval overall

1. James Prather

Papers from Gustavo Sandoval's perspective

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

1. Evaluating Large Language Models Trained on Code (arXiv.org)
2. Language Models are Few-Shot Learners (Neural Information Processing Systems)
3. Language Models are Unsupervised Multitask Learners
4. CodeBERT: A Pre-Trained Model for Programming and Natural Languages
5. Asleep at the Keyboard? Assessing the Security of GitHub Copilot’s Code Contributions
6. A new algorithm for data compression
7. A Conversational Paradigm for Program Synthesis
8. Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models
9. Attention is All you Need (Neural Information Processing Systems)
10. The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming

Their papers

• Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants (2022) — 184 citations