1 citations · 1 across the 4 of their papers we have counts for
6 papers
Deep Agentic Search for Repository-Level Code Question Answering: An Empirical Study
Amirkia Rafiei Oskooei, Bora Ilci, Alperen Kayim +5
Code agents spend much of their effort simply locating the right code inside a repository. Two approaches dominate current practice. In Semantic Search, the agent retrieves code bl…
Asynchronous Pipeline Parallelism for Real-Time Multilingual Lip Synchronization in Video Communication Systems
Eren Caglar, Amirkia Rafiei Oskooei, Mehmet Kutanoglu +2
This paper introduces a parallel and asynchronous Transformer framework designed for efficient and accurate multilingual lip synchronization in real-time video conferencing systems…
Generative AI for Video Translation: A Scalable Architecture for Multilingual Video Conferencing
Amirkia Rafiei Oskooei, Eren Caglar, Ibrahim Sahin +2
The real-time deployment of cascaded generative AI pipelines for applications like video translation is constrained by significant system-level challenges. These include the cumula…
BreakFun: Jailbreaking LLMs via Schema Exploitation
Amirkia Rafiei Oskooei, Mehmet S. Aktas
The proficiency of Large Language Models (LLMs) in processing structured data and adhering to syntactic rules is a capability that drives their widespread adoption but also makes t…
When Many-Shot Prompting Fails: An Empirical Study of LLM Code Translation
Amirkia Rafiei Oskooei, Kaan Baturalp Cosdan, Husamettin Isiktas +1
Large Language Models (LLMs) with vast context windows offer new avenues for in-context learning (ICL), where providing many examples ("many-shot" prompting) is often assumed to en…
Natural Language Summarization Enables Multi-Repository Bug Localization by LLMs in Microservice Architectures
Amirkia Rafiei Oskooei, S. Selcan Yukcu, Mehmet Cevheri Bozoglan +1
Bug localization in multi-repository microservice architectures is challenging due to the semantic gap between natural language bug reports and code, LLM context limitations, and t…