activity
20192026
most citedA Multi-AI Agent System for Autonomous Optimization of Agentic AI Solutions via Iterative Refinement and LLM-Driven Feedback Loops

6 citations · 15 across the 21 of their papers we have counts for

collaborators
Showing 2025Show all

7 papers · 1 filter

cs.AI2025

PAACE: A Plan-Aware Automated Agent Context Engineering Framework

Kamer Ali Yuksel

Large Language Model (LLM) agents are increasingly deployed in complex, multi-step workflows involving planning, tool use, reflection, and interaction with external knowledge syste…

cs.AI2025

EvoLattice: Persistent Internal-Population Evolution through Multi-Alternative Quality-Diversity Graph Representations for LLM-Guided Program Discovery

Kamer Ali Yuksel

Large language models (LLMs) are increasingly used to evolve programs and multi-agent systems, yet most existing approaches rely on overwrite-based mutations that maintain only a s…

cs.NE2025

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…

cs.CL2025★ 2 cited

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…

cs.CL2025

MediaMind: Revolutionizing Media Monitoring using Agentification

Ahmet Gunduz, Kamer Ali Yuksel, Hassan Sawaf

In an era of rapid technological advancements, agentification of software tools has emerged as a critical innovation, enabling systems to function autonomously and adaptively. This…

cs.CL2025★ 1 cited

ChameleonLLM: Batch-Aware Dynamic Low-Rank Adaptation via Inference-Time Clusters

Kamer Ali Yuksel, Hassan Sawaf

Recent advances in large language models (LLMs) have shown remarkable performance across diverse tasks. However, these models are typically deployed with fixed weights, which limit…

q-fin.PM2025★ 1 cited

AlphaSharpe: LLM-Driven Discovery of Robust Risk-Adjusted Metrics

Kamer Ali Yuksel, Hassan Sawaf

Financial metrics like the Sharpe ratio are pivotal in evaluating investment performance by balancing risk and return. However, traditional metrics often struggle with robustness a…