Seizure-Semiology-Suite provides a new clinically annotated video dataset and hierarchical benchmark that exposes weaknesses in current MLLMs for seizure semiology and demonstrates gains from fine-tuning and a neuro-symbolic classifier reaching 0.96 F1.
MSR-VTT: A large video description dataset for bridging video and language
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3verdicts
UNVERDICTED 3representative citing papers
LMMs perceive videos but underexploit visual content for causal reasoning due to textual shortcuts; ProCauEval diagnoses this and ADPO training reduces reliance on priors.
ReCoVR introduces a reflexive dual-pathway architecture for interactive composed video retrieval that outperforms baselines by combining intent routing with trajectory-level reflection on retrieval history.
citing papers explorer
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Seizure-Semiology-Suite (S3): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology Understanding
Seizure-Semiology-Suite provides a new clinically annotated video dataset and hierarchical benchmark that exposes weaknesses in current MLLMs for seizure semiology and demonstrates gains from fine-tuning and a neuro-symbolic classifier reaching 0.96 F1.
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Perception Without Engagement: Dissecting the Causal Discovery Deficit in LMMs
LMMs perceive videos but underexploit visual content for causal reasoning due to textual shortcuts; ProCauEval diagnoses this and ADPO training reduces reliance on priors.
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ReCoVR: Closing the Loop in Interactive Composed Video Retrieval
ReCoVR introduces a reflexive dual-pathway architecture for interactive composed video retrieval that outperforms baselines by combining intent routing with trajectory-level reflection on retrieval history.