1 citations · 2 across the 11 of their papers we have counts for
5 papers · 1 filter
Geotokens and Geotransformers
Eren Unlu
In transformer architectures, position encoding primarily provides a sense of sequence for input tokens. While the original transformer paper's method has shown satisfactory result…
Translation Aligned Sentence Embeddings for Turkish Language
Eren Unlu, Unver Ciftci
Due to the limited availability of high quality datasets for training sentence embeddings in Turkish, we propose a training methodology and a regimen to develop a sentence embeddin…
Spherical Position Encoding for Transformers
Eren Unlu
Position encoding is the primary mechanism which induces notion of sequential order for input tokens in transformer architectures. Even though this formulation in the original tran…
Chatmap : Large Language Model Interaction with Cartographic Data
Eren Unlu
The swift advancement and widespread availability of foundational Large Language Models (LLMs), complemented by robust fine-tuning methodologies, have catalyzed their adaptation fo…
FootGPT : A Large Language Model Development Experiment on a Minimal Setting
Eren Unlu
With recent empirical observations, it has been argued that the most significant aspect of developing accurate language models may be the proper dataset content and training strate…