Scholar

Lily Zhong

Google Scholar ID: jkiwEAwAAAAJ

UCSD

code analysislarge language models

Citations & Impact

All-time

Citations

343

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

11 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

OFFICEBENCH: Benchmarking Language Agents across Multiple Applications for Office Automation, Preprint, 2024
LDB: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL'24 Findings), 2024
Can ChatGPT replace StackOverflow? A Study on Robustness and Reliability of Large Language Model Code Generation, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'24), 2024
Effective Bug Detection with Unused Definitions, Proceedings of the 19th ACM European Conference in Computer Systems (EuroSys'24), 2024
Protecting Data Integrity of Web Applications with Database Constraints Inferred from Application Code, Proceedings of the 28th Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'23), 2023
PYLIVE: On-the-Fly Code Change for Python-based Online Services, Proceedings of the 2020 USENIX Annual Technical Conference (ATC'21), 2021

Research Experience

Interned at Microsoft Research Asia (2018), Google (2021), Meta (2022), and Apple (2023), working on the Apple Intelligence project.

Education

Received a bachelor's degree from the Special Class for the Gifted Young, University of Science and Technology of China (USTC) in 2019; obtained a PhD in Computer Science from UCSD in 2024, advised by Professor Yuanyuan Zhou.

Background

Research interests: large language model, code generation, static analysis, and LLM agents.

Miscellany

Co-authors

4 total