Aaron Ontoyin Yin

According to our database, Aaron Ontoyin Yin authored at least 7 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

CoFEE: Reasoning Control for LLM-Based Feature Discovery.

Maximilian Westermann, Ben Griffin, Aaron Ontoyin Yin, Zakari Salifu, Yagiz Ihlamur, Kelvin Amoaba, Joseph Ternasky, Fuat Alican, Yigit Ihlamur

CoRR, April, 2026

From Stochastic Answers to Verifiable Reasoning: Interpretable Decision-Making with LLM-Generated Code.

Anirudh Jaidev Mahesh, Ben Griffin, Fuat Alican, Joseph Ternasky, Zakari Salifu, Kelvin Amoaba, Yagiz Ihlamur, Aaron Ontoyin Yin, Aikins Laryea, Afriyie Kwesi Samuel, Yigit Ihlamur

CoRR, March, 2026

2025

LLM-AR: LLM-powered Automated Reasoning Framework.

Rick Chen, Joseph Ternasky, Aaron Ontoyin Yin, Xianling Mu, Fuat Alican, Yigit Ihlamur

CoRR, October, 2025

VCBench: Benchmarking LLMs in Venture Capital.

Rick Chen, Joseph Ternasky, Afriyie Samuel Kwesi, Ben Griffin, Aaron Ontoyin Yin, Zakari Salifu, Kelvin Amoaba, Xianling Mu, Fuat Alican, Yigit Ihlamur

CoRR, September, 2025

From Limited Data to Rare-event Prediction: LLM-powered Feature Engineering and Multi-model Learning in Venture Capital.

Mihir Kumar, Aaron Ontoyin Yin, Zakari Salifu, Kelvin Amoaba, Afriyie Kwesi Samuel, Fuat Alican, Yigit Ihlamur

CoRR, September, 2025

GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification.

Te Pei, Fuat Alican, Aaron Ontoyin Yin, Yigit Ihlamur

CoRR, January, 2025

2024

GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees.

Sichao Xiong, Yigit Ihlamur, Fuat Alican, Aaron Ontoyin Yin

CoRR, 2024