2 papers
cs.CV2026
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…
cs.HC2026
OOPrompt: Reifying Intents into Structured Artifacts for Modular and Iterative Prompting
Tengyou Xu, Detao Ma, Xiang 'Anthony' Chen
The rise of large language models (LLMs) has given rise to a class of prompt-based interactive systems where users primarily express their input in natural language. However, compo…