3 papers
cs.CL2026
When Do LLMs Replace Fine-Tuned NLU? A Decision Framework for Intent Detection in Production Conversational Systems
Carson Rodrigues, Oysturn Vas
A common claim is that zero-shot large language models (LLMs) can replace fine-tuned NLU classifiers for intent detection. We test this claim head-to-head and find that the honest…
cs.SE2026
MCP Server Architecture Patterns for LLM-Integrated Applications
Carson Rodrigues, Oysturn Vas
The Model Context Protocol (MCP), introduced by Anthropic in November 2024, defines a standardized interface for connecting large language models (LLMs) to external tools, data sou…
cs.LG2026
When Is an LLM Worth It for Hyperparameter Optimization? A Budget-Matched Study on Tabular Data Finds the Warm-Start Is a Default Configuration, Not the Model
Carson Rodrigues, Oysturn Vas, Isaiah Abner DCosta +1
Large language models (LLMs) have been proposed as hyperparameter-optimization (HPO) advisors that "warm-start" search from prior knowledge, proposing strong configurations in very…