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A. Zamanifar

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Preprint Sep 2026

CARE: A Responsibility-Oriented Architecture for Domain-Scoped Resolution in Modular and Upgradeable Smart Contracts

Modular and upgradeable smart-contract systems enable replaceable execution logic, but modular dispatch alone does not define which components own architectural responsibilities such as coordination, resolution, shared state, reusable services, and observation. This paper presents CARE, a responsibility-oriented archit...

Ali Rajabi Nekoo, Laleh Rasoul, A. Zamanifar · 0 citations
#artificial intelligence Preprint Aug 2026

RAPID: Reliability-Aware Pair Importance Distillation

Inter example relational distillation transfers a teacher's representation geometry by matching relations among examples within a mini batch. Computing all pairs has quadratic complexity in the batch size, whereas uniform subsampling may use a limited relation budget inefficiently. We introduce Reliability Aware Pair I...

Ali Mahdavi, A. Zamanifar, Amirfarhad Farhadi et al. · 0 citations
Review Open access Jul 2026

Advancements in reinforcement learning for clinical decision-making in healthcare: a systematic review

Overall, RL-based CDSS are still partially autonomous, they often prioritize autonomy and personalization over runtime oversight, interpretability, and evaluation, and an “agentic readiness”framework is suggested to address these gaps.

Ali Najafi, Amirfarhad Farhadi, A. Zamanifar · 0 citations
Review Open access Aug 2026

A survey on LLM-enhanced reinforcement learning in financial markets

A three-paradigm taxonomy (feature-based, auxiliary-based, and policy-based) based on the functional role of LLMs within the RL pipeline is proposed, which provides superior scalability and stability, though often at the expense of representational depth.

Ghusoon Hadi al-Aldaffaie, Alireza Taheri, Amirfarhad Farhadi et al. · 0 citations
Aug 2026

A structurally sparse and robust XAI framework

A novel Ante-hoc Explainable AI framework designed to bridge the interpretability-accuracy trade-off in high-stakes financial prognosis, specifically within credit scoring systems, which provides a verifiable and robust solution for modern, regulatory-compliant financial environments.

Deniz NoorMohammadzadehMaleki, Mahdi Baghaei Oskouei, Alireza Taheri et al. · 0 citations

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