most citedIntuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025

6 citations · 6 across the 1 of their papers we have counts for

collaborators

6 papers

cs.CV20266 cited

Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025

Aneeq Zia, Max Berniker, Rogerio Garcia Nespolo +153

Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms…

cs.AI2026

BioAlchemy: Distilling Biological Literature into Reasoning-Ready Reinforcement Learning Training Data

Brian Hsu, Ozan Gökdemir, Carlo Siebenschuh +7

Despite the large corpus of biology training text, the impact of reasoning models on biological research generally lags behind math and coding. In this work, we show that biology q…

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…

cs.CL2025

Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models

Ozan Gokdemir, Neil Getty, Robert Underwood +5

As scientific knowledge grows at an unprecedented pace, evaluation benchmarks must evolve to reflect new discoveries and ensure language models are tested on current, diverse liter…

cs.AI2025

EAIRA: Establishing a Methodology for Evaluating AI Models as Scientific Research Assistants

Franck Cappello, Sandeep Madireddy, Robert Underwood +23

Recent advancements have positioned AI, and particularly Large Language Models (LLMs), as transformative tools for scientific research, capable of addressing complex tasks that req…

cs.CV2025

Scaling Large Vision-Language Models for Enhanced Multimodal Comprehension In Biomedical Image Analysis

Robinson Umeike, Neil Getty, Fangfang Xia +1

Large language models (LLMs) have demonstrated immense capabilities in understanding textual data and are increasingly being adopted to help researchers accelerate scientific disco…