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20242026
most citedPEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents

4 citations · 4 across the 4 of their papers we have counts for

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cs.CV2025

Adapting General-Purpose Foundation Models for X-ray Ptychography in Low-Data Regimes

Robinson Umeike, Neil Getty, Yin Xiangyu +1

The automation of workflows in advanced microscopy is a key goal where foundation models like Language Models (LLMs) and Vision-Language Models (VLMs) show great potential. However…