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Christos Koutsiaris

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#small language model Preprint Aug 2026

Daedalus-150M: A Convolution-Attention Hybrid Designed for CPU Inference

A conventional all-attention model of the same size on the same data and a conventional all-attention hybrid that beats GPT-2 124M, Pythia-160M, OPT-125M and GPT-neo-125M, and exceeds MobileLLM-125M's published score despite that model seeing a trillion tokens.

Christos Koutsiaris · 0 citations

Intent-Driven Dynamic Chunking: Segmenting Documents to Reflect Predicted Information Needs

Intent-Driven Dynamic Chunking (IDC) is introduced, a novel approach that uses predicted user queries to guide document segmentation and aligning document structure with anticipated information needs significantly boosts retrieval performance, particularly for long and heterogeneous documents.

Christos Koutsiaris · 0 citations