1 citations · 1 across the 2 of their papers we have counts for
2 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★ 1 cited
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…