4 papers · 1 filter
LLMSniffer: Detecting LLM-Generated Code via GraphCodeBERT and Supervised Contrastive Learning
Mahir Labib Dihan, Abir Muhtasim
The rapid proliferation of Large Language Models (LLMs) in software development has made distinguishing AI-generated code from human-written code a critical challenge with implicat…
SWE-Shepherd: Advancing PRMs for Reinforcing Code Agents
Mahir Labib Dihan, Md Ashrafur Rahman Khan
Automating real-world software engineering tasks remains challenging for large language model (LLM)-based agents due to the need for long-horizon reasoning over large, evolving cod…
PatchRecall: Patch-Driven Retrieval for Automated Program Repair
Mahir Labib Dihan, Faria Binta Awal, Md. Ishrak Ahsan
Retrieving the correct set of files from a large codebase is a crucial step in Automated Program Repair (APR). High recall is necessary to ensure that the relevant files are includ…
BanglaForge: LLM Collaboration with Self-Refinement for Bangla Code Generation
Mahir Labib Dihan, Sadif Ahmed, Md Nafiu Rahman
Bangla is a low-resource language for code generation, lacking large-scale annotated datasets and tools to transform natural language specifications into executable programs. This…