2 papers
cs.SE2025
PEFA-AI: Advancing Open-source LLMs for RTL generation using Progressive Error Feedback Agentic-AI
Athma Narayanan, Mahesh Subedar, Omesh Tickoo
We present an agentic flow consisting of multiple agents that combine specialized LLMs and hardware simulation tools to collaboratively complete the complex task of Register Transf…
cs.CV2025
Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration
Athmanarayanan Lakshmi Narayanan, Amrutha Machireddy, Ranganath Krishnan
Active Learning (AL) has emerged as a powerful approach for minimizing labeling costs by selectively sampling the most informative data for neural network model development. Effect…