most citedFullStack Bench: Evaluating LLMs as Full Stack Coders

2 citations · 4 across the 7 of their papers we have counts for

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cs.SE2025

StackTrans: From Large Language Model to Large Pushdown Automata Model

Kechi Zhang, Ge Li, Jia Li +4

The Transformer architecture has emerged as a landmark advancement within the broad field of artificial intelligence, effectively catalyzing the advent of large language models (LL…

cs.SE2025

Computational Thinking Reasoning in Large Language Models

Kechi Zhang, Ge Li, Jia Li +8

While large language models (LLMs) have demonstrated remarkable reasoning capabilities, they often struggle with complex tasks that require specific thinking paradigms, such as div…

cs.SE2024★ 1 cited

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code

Kechi Zhang, Ge Li, Yihong Dong +5

Code generation models have shown significant potential for programming tasks. However, existing training methods like supervised fine-tuning face key limitations: they do not effe…