10 papers
Selectivity and Shape in the Design of Forward-Forward Goodness Functions
Talha Ruzgar Akkus, Suayp Talha Kocabay, Kamer Ali Yuksel +1
The Forward-Forward (FF) algorithm trains networks layer-by-layer using a local "goodness function," yet sum-of-squares (SoS) has remained the only choice studied. We systematicall…
EvoForest: A Novel Machine-Learning Paradigm via Open-Ended Evolution of Computational Graphs
Kamer Ali Yuksel, Hassan Sawaf
Modern machine learning is still largely organized around a single recipe: choose a parameterized model family and optimize its weights. Although highly successful, this paradigm i…
Agentic AI for Human Resources: LLM-Driven Candidate Assessment
Kamer Ali Yuksel, Abdul Basit Anees, Ashraf Elneima +3
In this work, we present a modular and interpretable framework that uses Large Language Models (LLMs) to automate candidate assessment in recruitment. The system integrates diverse…
AI Co-Artist: A LLM-Powered Framework for Interactive GLSL Shader Animation Evolution
Kamer Ali Yuksel, Hassan Sawaf
Creative coding and real-time shader programming are at the forefront of interactive digital art, enabling artists, designers, and enthusiasts to produce mesmerizing, complex visua…
Bel Esprit: Multi-Agent Framework for Building AI Model Pipelines
Yunsu Kim, AhmedElmogtaba Abdelaziz, Thiago Castro Ferreira +2
As the demand for artificial intelligence (AI) grows to address complex real-world tasks, single models are often insufficient, requiring the integration of multiple models into pi…
Efficient Machine Translation Corpus Generation: Integrating Human-in-the-Loop Post-Editing with Large Language Models
Kamer Ali Yuksel, Ahmet Gunduz, Abdul Baseet Anees +1
This paper introduces an advanced methodology for machine translation (MT) corpus generation, integrating semi-automated, human-in-the-loop post-editing with large language models…