3 papers
cs.LG2026
SLM Finetuning for Natural Language to Domain Specific Code Generation in Production
Renjini R. Nair, Damian K. Kowalczyk, Marco Gaudesi +1
Many applications today use large language models for code generation; however, production systems have strict latency requirements that can be difficult to meet with large models.…
cs.SE2024
Plan with Code: Comparing approaches for robust NL to DSL generation
Nastaran Bassamzadeh, Chhaya Methani
Planning in code is considered a more reliable approach for many orchestration tasks. This is because code is more tractable than steps generated via Natural Language and make it e…
cs.SE2024
A Comparative Study of DSL Code Generation: Fine-Tuning vs. Optimized Retrieval Augmentation
Nastaran Bassamzadeh, Chhaya Methani
Natural Language to Code Generation has made significant progress in recent years with the advent of Large Language Models(LLMs). While generation for general-purpose languages lik…