3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.SE2025
AdapTrack: Constrained Decoding without Distorting LLM's Output Intent
Yongmin Li, Jia Li, Ge Li +1
Language model-based code generation and completion tools have been widely adopted, but they may sometimes produce code that does not meet necessary constraints, such as syntactic…
quant-ph2024★ 1 cited
Compact quantum random number generator based on a laser diode and silicon photonics integrated hybrid chip
Xuyang Wang, Tao Zheng, Yanxiang Jia +7
In this study, a compact and low-power-consumption quantum random number generator (QRNG) based on a laser diode and silicon photonics integrated hybrid chip is proposed and verifi…
cs.SE2024★ 3 cited
DevEval: Evaluating Code Generation in Practical Software Projects
Jia Li, Ge Li, Yunfei Zhao +14
How to evaluate Large Language Models (LLMs) in code generation is an open question. Many benchmarks have been proposed but are inconsistent with practical software projects, e.g.,…