GAZE: Grounded Agentic Zero-Shot Evaluation with Viewer-Level Tools and Literature Retrieval on Rare Brain MRI
Duaa Alim, Mogtaba Alim, Liam Chalcroft
gb, ca (code pays fourni par la source)
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Lecture notes in computer science
Mogtaba Alim
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6Publications signalées
0Citations signalées
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Multimodal Machine Learning ApplicationsMedical Image Segmentation TechniquesEpilepsy research and treatmentCancer Immunotherapy and BiomarkersAI in cancer detection
Les publications récentes
Negative controls reveal volume-driven confounding in radiomics and imaging foundation model features
Katy L. Scott, Sejin Kim, Joshua Siraj, Caryn Geady et autres
Radiomics and imaging foundation models promise non-invasive biomarkers of tumour biology, yet predictive signatures may reflect tumour volume or acquisition artifacts rather than meaningful image structure. We introduce READII-2-ROQC, an open-source framework that uses volume-preserving negative controls to assess whether radiomic and …
0 citations
arXiv (Cornell University)
Negative controls reveal volume-driven confounding in radiomics and imaging foundation model features
Katy L. Scott, Sejin Kim, Joshua Siraj, Caryn Geady et autres
Radiomics and imaging foundation models promise non-invasive biomarkers of tumour biology, yet predictive signatures may reflect tumour volume or acquisition artifacts rather than meaningful image structure. We introduce READII-2-ROQC, an open-source framework that uses volume-preserving negative controls to assess whether radiomic and …
0 citations
arXiv (Cornell University)
GAZE: Grounded Agentic Zero-shot Evaluation with Viewer-Level Tools and Literature Retrieval on Rare Brain MRI
Duaa Alim, Mogtaba Alim, Liam Chalcroft
Vision-language models (VLMs) read an image and produce text in a single forward pass, whereas radiologists typically inspect an image several times and consult the literature before writing a report. We introduce GAZE (Grounded Agentic Zero-shot Evaluation), a framework that lets a …
0 citations
arXiv (Cornell University)
GAZE: Grounded Agentic Zero-shot Evaluation with Viewer-Level Tools and Literature Retrieval on Rare Brain MRI
Duaa Alim, Mogtaba Alim, Liam Chalcroft
Vision-language models (VLMs) read an image and produce text in a single forward pass, whereas radiologists typically inspect an image several times and consult the literature before writing a report. We introduce GAZE (Grounded Agentic Zero-shot Evaluation), a framework that lets a …
gb, ca (code pays fourni par la source)
0 citations
arXiv (Cornell University)
Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic et autres
Large Language Model (LLM) agents have demonstrated impressive capabilities for social interaction and are increasingly being deployed in situations where they might engage with both human and artificial agents. These interactions represent a critical frontier for LLM-based agents, yet existing evaluation methods …
gb, us, Algérie, ca, nl, np, in, ru, cn, sg, pk, bo, co, es (code pays fourni par la source)
0 citations
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