activity
20202025
most citedToolCoder: Teach Code Generation Models to use API search tools

10 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

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★ 1 cited

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding

Jia Li, Xuyuan Guo, Lei Li +7

Current advanced long-context language models offer great potential for real-world software engineering applications. However, progress in this critical domain remains hampered by…

cs.SE2025

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points

Kechi Zhang, Ge Li, Jia Li +2

Code generation models have shown significant potential for automating programming tasks. However, the challenge of generating accurate and reliable code persists due to the highly…

cs.SE2023★ 10 cited

ToolCoder: Teach Code Generation Models to use API search tools

Kechi Zhang, Huangzhao Zhang, Ge Li +3

Automatically generating source code from natural language descriptions has been a growing field of research in recent years. However, current large-scale code generation models of…

cs.SE2020★ 9 cited

Learning to Represent Programs with Heterogeneous Graphs

Kechi Zhang, Wenhan Wang, Huangzhao Zhang +2

Program source code contains complex structure information, which can be represented in structured data forms like trees or graphs. To acquire the structural information in source…