most citedFine-tuning with RAG for Improving LLM Learning of New Skills

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

collaborators

2 papers

cs.SD2025

Transformer Redesign for Late Fusion of Audio-Text Features on Ultra-Low-Power Edge Hardware

Stavros Mitsis, Ermos Hadjikyriakos, Humaid Ibrahim +4

Deploying emotion recognition systems in real-world environments where devices must be small, low-power, and private remains a significant challenge. This is especially relevant fo…

cs.AI2025★ 1 cited

Fine-tuning with RAG for Improving LLM Learning of New Skills

Humaid Ibrahim, Nikolai Rozanov, Marek Rei

Large language model (LLM) agents deployed for multi-step tasks frequently fail in predictable ways: attempting actions with unmet preconditions, issuing redundant commands, or mis…