Tag: adversarial machine learning
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Mind’s Eye Benchmark for Visual Reasoning in Multimodal LLMs
Discover Mind's Eye, a benchmark testing visual abstraction, transformation, and reasoning in multimodal LLMs, revealing key gaps vs. human cognition.
Robust Multispectral Segmentation with Missing Modalities
Discover CBC-SLP, a robust model for multispectral semantic segmentation that excels with missing or full modalities using structured latent projection.
ECG-Lens: Top ML & DL Models on PTB-XL ECG Dataset
Discover how ECG-Lens benchmarks top ML and DL models for ECG classification on the PTB-XL dataset, achieving 80% accuracy and 90% ROC-AUC.
Self-Distillation for LLMs: Boost Performance & Prevent Forgetting
Discover how self-distillation fine-tuning restores LLM performance by counteracting compression effects and catastrophic forgetting for robust AI models.
EVIL: Interpretable Algorithms for Zero-Shot Time Series Inference
Discover EVIL, a novel LLM-guided evolutionary method for fast, interpretable zero-shot inference on event sequences and time series data.