Ling-Ming Zhang
Information Systems · 2024
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 36 citations into it
- Software — 33 citations into it
- Hardware and Architecture — 5 citations into it
Whom Ling-Ming Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ling-Ming Zhang's perspective
Ordered by how strongly the researchers Ling-Ming Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Evaluating Large Language Models Trained on Code (arXiv.org)
- Program Synthesis with Large Language Models
- Measuring Coding Challenge Competence With APPS
- Empirical evaluation of the tarantula automatic fault-localization technique (International Conference on Automated Software Engineering)
- GPT-4 Technical Report
- Unsupervised Translation of Programming Languages
- Code Llama: Open Foundation Models for Code
- On the Accuracy of Spectrum-based Fault Localization (Testing: Academic and Industrial Conference Practice and Research Techniques - MUTATION (TAICPART-MUTATION 2007))
- DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
- Competition-level code generation with AlphaCode
Their papers
- Agentless: Demystifying LLM-based Software Engineering Agents (2024) — 421 citations