1 citations · 1 across the 3 of their papers we have counts for
5 papers
Design Docs Are All You Need: An AI-native Machine-Learning Performance Tool
Samuel Kushnir, Kimia Noorbakhsh, Kavya Sreedhar +6
Machine-learning performance modeling is a uniquely hostile terrain for long-lived software: the assumptions baked into today's abstractions are invalidated by tomorrow's models an…
Improving Coherence and Persistence in Agentic AI for System Optimization
Pantea Karimi, Kimia Noorbakhsh, Mohammad Alizadeh +1
Designing high-performance system heuristics is a creative, iterative process requiring experts to form hypotheses and execute multi-step conceptual shifts. While Large Language Mo…
Glia: A Human-Inspired AI for Automated Systems Design and Optimization
Pouya Hamadanian, Pantea Karimi, Arash Nasr-Esfahany +5
Can AI autonomously design mechanisms for computer systems on par with the creativity and reasoning of human experts? We present Glia, an AI architecture for networked systems desi…
Savaal: Scalable Concept-Driven Question Generation to Enhance Human Learning
Kimia Noorbakhsh, Joseph Chandler, Pantea Karimi +2
Assessing and enhancing human learning through question-answering is vital, yet automating this process remains challenging. While large language models (LLMs) excel at summarizati…
Vidaptive: Efficient and Responsive Rate Control for Real-Time Video on Variable Networks
Pantea Karimi, Sadjad Fouladi, Vibhaalakshmi Sivaraman +1
Real-time video streaming relies on rate control mechanisms to adapt video bitrate to network capacity while maintaining high utilization and low delay. However, the current video…