Tag: multimodal AI
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Deep Learning for Edema Classification Using HCT & Clinical Data
Discover a deep learning framework that integrates HCT scans and clinical data for accurate brain edema classification with 94% AUC performance.
MiroEval: Benchmarking Multimodal Research Agents Effectively
Discover MiroEval, a benchmark for evaluating multimodal deep research agents on process quality and outcome accuracy with real user tasks.
PReD: Advanced LLM Model for Electromagnetic Signal Analysis
Discover PReD, an LLM-based multimodal model revolutionizing electromagnetic perception, recognition, and decision-making with state-of-the-art AI.
DUET-VLM: Efficient Dual-Stage Token Reduction for VLMs
Discover DUET-VLM, a dual-stage token reduction method boosting Vision-Language Model efficiency with minimal accuracy loss.
CARPE: Enhancing Vision-Language Models with Context-Aware Ensemble
Discover CARPE, a novel framework that boosts large vision-language models by prioritizing image representations via context-aware ensemble techniques.