RA
Rafi Al Attrach
cs.AIcs.LGcs.DBcs.IRclinical datacs.CVcs.CYcs.DLcs.SEdata dictionary
On Valency
published · living versionsW_p9e7su6t·v1 · currentpublished
M4Bench: Evaluating Procedural Specification for Clinical EHR Derivation Agents
with Hannes Ill, Rajna Fani, Ahram Han, Ryohei Yamamoto +3
1 version
W_qg2btp2g·v1published
Preprints & journals
9 papers in the corpus · 2025–2026M3: Conversational LLMs simplify secure clinical data access, understanding, and analysis.42752561 · Al Attrach, Rafi, Moreira, Pedro, Fani, Rajna et al.2026 · 3 citationsPLOS digital health. 2026;5(9):e0001671
ModaLens: Measuring Image Sensitivity in Report-Conditioned Medical VLMs2609.15635v1 · Sebasti'an Andr'es Cajas Ord'onez, Maximin Lange, Quang Bui et al.2026 · 0 citationsarXiv
Towards a Deterministic Math Solver for Clinical Language Models2609.10728v1 · Felipe Ocampo Osorio, Sebasti'an Andr'es Cajas Ordonez, Maximin Lange et al.2026 · 0 citationsarXivon Valency
DataAtlas: automatic generation of data dictionaries using large language models.42369827 · Giancotti, Raffaele, Fani, Rajna, Al Attrach, Rafi et al.2026 · 0 citationsJAMIA open. 2026;9(3):ooag119
Croissant Baker: Metadata Generation for Discoverable, Governable, and Reusable ML Datasets2605.15079v1 · Rafi Al Attrach, Rajna Fani, Sebastian Lobentanzer et al.2026 · 0 citationsarXiv
Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings2604.24597v1 · Sebastian Cajas Ord'onez, Felipe Ocampo Osorio, Dax Enshan Koh et al.2026 · 0 citationsarXiv
Coefficient of Variation Masking: A Volatility-Aware Strategy for EHR Foundation Models2512.05216v1 · Rajna Fani, Rafi Al Attrach, David Restrepo et al.2025 · 0 citationsarXiv
Rethinking Tokenization for Clinical Time Series: When Less is More2512.05217v1 · Rafi Al Attrach, Rajna Fani, David Restrepo et al.2025 · 0 citationsarXiv
The Amazon Nova Family of Models: Technical Report and Model Card2506.12103v1 · Amazon AGI, Aaron Langford, Aayush Shah et al.2025 · 2 citationsarXiv
Career total: 9 works. 9 are in this corpus.
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