2 citations · 3 across the 5 of their papers we have counts for
6 papers
Automated Generation of Microfluidic Netlists using Large Language Models
Jasper Davidson, Skylar Stockham, Allen Boston +3
Microfluidic devices have emerged as powerful tools in various laboratory applications, but the complexity of their design limits accessibility for many practitioners. While progre…
Adaptive Multi-Agent Reasoning via Automated Workflow Generation
Humza Sami, Mubashir ul Islam, Pierre-Emmanuel Gaillardon +1
The rise of Large Reasoning Models (LRMs) promises a significant leap forward in language model capabilities, aiming to tackle increasingly sophisticated tasks with unprecedented e…
Nexus: A Lightweight and Scalable Multi-Agent Framework for Complex Tasks Automation
Humza Sami, Mubashir ul Islam, Samy Charas +3
Recent advancements in Large Language Models (LLMs) have substantially evolved Multi-Agent Systems (MASs) capabilities, enabling systems that not only automate tasks but also lever…
EDA-Aware RTL Generation with Large Language Models
Mubashir ul Islam, Humza Sami, Pierre-Emmanuel Gaillardon +1
Large Language Models (LLMs) have become increasingly popular for generating RTL code. However, producing error-free RTL code in a zero-shot setting remains highly challenging for…
AIvril: AI-Driven RTL Generation With Verification In-The-Loop
Mubashir ul Islam, Humza Sami, Pierre-Emmanuel Gaillardon +1
Large Language Models (LLMs) are computational models capable of performing complex natural language processing tasks. Leveraging these capabilities, LLMs hold the potential to tra…
Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization
Shubham Rai, Walter Lau Neto, Yukio Miyasaka +37
Logic synthesis is a fundamental step in hardware design whose goal is to find structural representations of Boolean functions while minimizing delay and area. If the function is c…