Sida Wang
Meta FAIR research scientist; works on code generation, LLMs, and program-synthesis evaluation.
- Role
- researcher
- Currently at
- Meta FAIR (Fundamental AI Research)
- twitter.com/sidaw
- GitHub
- github.com/sidaw
- Scholar
- scholar.google.com/citations
- Papers
- 7
Cite
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Authored papers
7Structure-Aware Fill-in-the-Middle Pretraining for Code
arXiv 2025
LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code
NeurIPS
Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
arXiv 2024
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?
arXiv 2024
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
arXiv 2022
InCoder: A Generative Model for Code Infilling and Synthesis
arXiv 2022
Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms
arXiv 2020
Affiliations
Previously
Frequent co-authors
10from 7 papers
Alvin Cheung
Daniel Fried
professor
Linyuan Gong
Luke Zettlemoyer
professor
Mostafa Elhoushi
Ruiqi Zhong
Tao Yu
professor
Adithya Renduchintala
Alex Gu
grad-student
Ansong Ni