8 papers
Teaching LLMs to Recommend and Defer in Underrepresented Epilepsy Care
Shreyas Rajesh, Kartik Sharma, Tonmoy Monsoor +8
Specialist epilepsy expertise is scarce in resource-constrained settings, making LLM-based decision support attractive for frontline clinicians managing longitudinal treatment. Suc…
Seizure-Semiology-Suite (S3): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology Understanding
Lina Zhang, Tonmoy Monsoor, Peizheng Li +23
While Multimodal Large Language Models (MLLMs) have demonstrated remarkable proficiency in general video understanding, their capacity to interpret involuntary, and spatio-temporal…
An Exterior Method for Nonnegative Matrix Factorization
Qiujing Lu, Tonmoy Monsoor, Ehsan Ebrahimzadeh +2
Nonnegative matrix factorization (NMF) seeks a low-rank approximation with nonnegative factors and is commonly solved using interior methods that enforce feasibili…
Can Multimodal Large Language Models Understand Pathologic Movements? A Pilot Study on Seizure Semiology
Lina Zhang, Tonmoy Monsoor, Mehmet Efe Lorasdagi +8
Multimodal Large Language Models (MLLMs) have demonstrated robust capabilities in recognizing everyday human activities, yet their potential for analyzing clinically significant in…
Omni-iEEG: A Large-Scale, Comprehensive iEEG Dataset and Benchmark for Epilepsy Research
Chenda Duan, Yipeng Zhang, Sotaro Kanai +9
Epilepsy affects over 50 million people worldwide, and one-third of patients suffer drug-resistant seizures where surgery offers the best chance of seizure freedom. Accurate locali…
Panini: Continual Learning in Token Space via Structured Memory
Shreyas Rajesh, Pavan Holur, Mehmet Yigit Turali +2
Language models are increasingly used to reason over content they were not trained on, such as new documents, evolving knowledge, and user-specific data. A common approach is retri…