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• MERLIN is a state-of-the-art model on the EM-Bench benchmark.result 95%
• MERLIN exhibits remarkable robustness in low Signal-to-Noise Ratio (SNR) settings.result 95%
• The paper introduces EM-100k, a large-scale dataset of over 100,000 EM signal-text pairs.method 95%
• A critical fragility of current models is significant performance degradation in low-SNR environments where signal features are obscured.limitation 90%
• The paper proposes EM-Bench, a comprehensive benchmark for evaluating EM signal-to-text tasks.method 95%
• Prevailing approaches in the EM domain use task-specific or pipelined architectures, leading to limitations in performance and generalization.limitation 85%
• The MERLIN training framework is designed to align low-level signal representations with high-level semantic text.method 90%
• There is a scarcity of high-quality datasets with paired EM signals and descriptive text annotations for MLLM pre-training.limitation 90%

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