6 citations · 13 across the 11 of their papers we have counts for
4 papers · 1 filter
A Survey on LLM-based Code Generation for Low-Resource and Domain-Specific Programming Languages
Sathvik Joel, Jie JW Wu, Fatemeh H. Fard
Large Language Models (LLMs) have shown impressive capabilities in code generation for popular programming languages. However, their performance on Low-Resource Programming Languag…
MergeRepair: An Exploratory Study on Merging Task-Specific Adapters in Code LLMs for Automated Program Repair
Meghdad Dehghan, Jie JW Wu, Fatemeh H. Fard +1
Large Language Models (LLMs) have shown high capabilities in several software development-related tasks such as program repair, documentation, code refactoring, debugging, and test…
HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent
Jie JW Wu, Fatemeh H Fard
Large language models (LLMs) have significantly improved their ability to perform tasks in the field of code generation. However, there is still a gap between LLMs being capable co…
Investigating the Efficacy of Large Language Models for Code Clone Detection
Mohamad Khajezade, Jie JW Wu, Fatemeh Hendijani Fard +2
Large Language Models (LLMs) have demonstrated remarkable success in various natural language processing and software engineering tasks, such as code generation. The LLMs are mainl…