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20192025
most citedExploring Zero and Few-shot Techniques for Intent Classification

3 citations · 5 across the 6 of their papers we have counts for

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2 papers · 1 filter

cs.LG2025

Apriel-H1: Towards Efficient Enterprise Reasoning Models

Oleksiy Ostapenko, Luke Kumar, Raymond Li +10

Large Language Models (LLMs) achieve remarkable reasoning capabilities through transformer architectures with attention mechanisms. However, transformers suffer from quadratic time…

cs.LG2025

Apriel-Nemotron-15B-Thinker

Shruthan Radhakrishna, Soham Parikh, Gopal Sarda +32

While large language models (LLMs) have achieved remarkable reasoning capabilities across domains like code, math and other enterprise tasks, their significant memory and computati…