Sarah Nadi
Information Systems · 2016–2023
A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 50 citations into it
- Software — 32 citations into it
- Artificial Intelligence — 28 citations into it
- Natural Language Processing — 18 citations into it
- Computer Networks and Communications — 17 citations into it
- Code Generation & Program Synthesis — 15 citations into it
- Signal Processing — 9 citations into it
Whom Sarah Nadi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Koushik Sen
- Premkumar T. Devanbu
- Miltiadis Allamanis
- Sebastian Proksch
- Jian Li
- Christoph Csallner
- Michael Pradel
- Carlos Pacheco
- Laria Reynolds
- Patrice Godefroid
Who trusts Sarah Nadi overall
Papers from Sarah Nadi's perspective
Ordered by how strongly the researchers Sarah Nadi trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- On the naturalness of software
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Code completion with statistical language models
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation (2023) — 557 citations
- An Empirical Evaluation of GitHub Copilot's Code Suggestions (2022) — 395 citations
- A Study of Visual Studio Usage in Practice (2016) — 91 citations
- Evaluating the evaluations of code recommender systems: A reality check (2016) — 27 citations