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Daniel Fried — most-cited papers & profile · AI for Code
← authors
·
overview
Daniel Fried
23
papers ·
553
citations ·
54
h-index
University of California, San Francisco
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
StarCoder: may the source be with you!
2023 · 197 citations
InCoder: A Generative Model for Code Infilling and Synthesis
2022 · 142 citations
SantaCoder: don't reach for the stars!
2023 · 54 citations
Natural Language to Code Translation with Execution
2022 · 38 citations
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
2022 · 33 citations
Coder Reviewer Reranking for Code Generation
2022 · 7 citations
CodeRAG-Bench: Can Retrieval Augment Code Generation?
2024 · 3 citations
Data Augmentation for Code Translation with Comparable Corpora and Multiple References
2023 · 3 citations
ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?
2024 · 3 citations
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
2025 · 2 citations
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
2025 · 2 citations
Execution-Based Evaluation for Open-Domain Code Generation
2022 · 2 citations
CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks
2024 · 1 citations
Toward Training Superintelligent Software Agents through Self-Play SWE-RL
2025
Generating Pragmatic Examples to Train Neural Program Synthesizers
2023
Top co-authors
Luke Zettlemoyer
· 3
Saujas Vaduguru
· 3
Yiqing Xie
· 3
Alex Gu
· 2
Arjun Guha
· 2
Carolyn Jane Anderson
· 2
Chenghao Mou
· 2
Christopher Akiki
· 2
Danish Contractor
· 2
Denis Kocetkov
· 2
Dmitry Abulkhanov
· 2
Dzmitry Bahdanau
· 2
Topics
Code Generation
Software Engineering
Code Models
Code Translation
Program Repair
Code Understanding
Testing
Bug Detection