Abstract: This paper reviews the evolution of Natural Language Processing (NLP) models, concentrating on the distillation techniques used to create efficient and compact versions of large models.

Here is a fork of ABC containing Agdmap, a novel technology mapper for LUT-based FPGAs. Agdmap is based on a technology mapping algorithm with adaptive gate decomposition [1]. It is a cut enumeration ...

Philosophy of language and computer science, despite being very distinct fields, share a great interest in natural language. However, while philosophy has traditionally opted for a formalist approach, ...

Human language may seem messy and inefficient compared to the ultra-compact strings of ones and zeros used by computers—but our brains actually prefer it that way. New research reveals that while ...

Abstract: Large Language Models (LLMs) have advanced natural language processing, particularly through Chain-of-Thought (CoT) reasoning, but their high computational costs limit deployment. We propose ...