• Chen, R., Ternasky, J., Yin, A., Mu, X., Alican, F., Ihlamur, Y. LLM-AR: LLM-powered Automated Reasoning Framework. arXiv, 2025.
  • Wang, X., Ihlamur, Y., Alican, F. SSFF: A multi-agent framework for startup success prediction. NeurIPS 2025 Workshop: GenAI in Finance.
  • Chen, R., Ternasky, J., Kwesi, S., Griffin, B., Yin, A., Salifu, Z., Amoaba, K., Mu, X., Alican, F., Ihlamur, Y. VCBench: Benchmarking LLMs in venture capital. Computing Conference 2026, arXiv, 2025.
  • Griffin, B., Ternasky, J., Alican, F., Ihlamur, Y. Random Rule Forest (RRF): Interpretable ensembles of LLM-generated questions for predicting startup success. arXiv, 2025.
  • Mu, X., Ternasky, J., Alican, F., Ihlamur, Y. Policy Induction: Predicting startup success via explainable memory-augmented in-context learning. IEEE 2025, arXiv, 2025.
  • Wang, X., Ihlamur, Y., Alican, F. SSFF: Investigating LLM predictive capabilities for startup success through a multi-agent framework with enhanced explainability and performance. arXiv, 2025.
  • Preuveneers, J., Ternasky, J., Alican, F., Ihlamur, Y. R.A.I.S.E.: Reasoning-based AI for startup evaluation: A memory-augmented, multi-step decision framework. arXiv, 2025.
  • Pei, T., Alican, F., Ontoyin Yin, A., Ihlamur, Y. GPT-HTree: A decision tree framework integrating hierarchical clustering and large language models for explainable classification. arXiv, 2025.
  • Xiong, S., Ihlamur, Y., Alican, F., Ontoyin Yin, A. GPTree: Towards explainable decision-making via LLM-powered decision trees. arXiv, 2024.
  • Mirsad, A., Cagan Y., Alican, F., Hendrick, K., Darwazah, O., Ontoyin Yin, A., Afriye, S., Harrison, A., Dokosi, E., Amoeba, K., Allabadi, O., Nowais, S., Salifu, Z., Ihlamur, Y. Integrating knowledge graphs, community detection, and linear models for outlier detection. 2024.
  • Xiong, S., Alican, F., Ihlamur, Y. Founder-GPT: self-play to evaluate the founder-idea fit. 2024.
  • Papageorgiou, P., Alican, F., Ihlamur, Y. Founder-GPT: Tree of thought for the founder-idea fit. 2024.
  • Lou, Y., Alican, F., Ihlamur, Y. Company-GPT: Pros and cons company analysis using self-play techniques. 2023.
  • Zhao, R., Wang, H., Ho, T. C., Alican, F., Ihlamur, Y. Proxy, predicting how investors behave. 2022.
  • Alican, F. Political and cultural issues in digital public administration. New York: IGI Global, 2013. 
  • Alican, F. Can information technology contribute to social peace. Amsterdam: Information Polity, 2010.
  • Alican, F. Bilgi temelli kalkınma modellerinin Diyarbakır’a uygulanabilirliği: bilişim odaklı strateji önerileri. Istanbul: Bilişim Dünyası, TÜBİDER, 2007.
  • Alican, F. Experts without expertise. Amsterdam: Information Polity, 2007.
  • Alican, F. Una introducción al análisis de los principales factores en el desarrollo de programación de computadoras en Costa Rica. San José: Universidad de Costa Rica, Revista de Ingeniería, enero/diciembre 2004.