Zhe Liu
Information Systems · with Wang · 2023
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
- Information Systems — 32 citations into it
- Computer Networks and Communications — 7 citations into it
Whom Zhe Liu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Claes Wohlin (in Information Systems)
Papers from Zhe Liu's perspective
Ordered by how strongly the researchers Zhe Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Guidelines for snowballing in systematic literature studies and a replication in software engineering
- Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models (International Symposium on Software Testing and Analysis)
- Attention is All you Need (Neural Information Processing Systems)
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Evaluating Large Language Models Trained on Code (arXiv.org)
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
- On the naturalness of software
- Long Short-Term Memory
Their papers
- Software Testing With Large Language Models: Survey, Landscape, and Vision (2023) — 664 citations