AI Research
EEGAgentBench: Benchmarking LLM Agents on Short- and Long-Horizon EEG Analysis
Bridging the gap between LLM reasoning and clinical electroencephalography interpretation.
Electroencephalography (EEG) analysis is evolving from short-segment classification toward long-horizon interpretation that demands iterative evidence accumulation, multi-step reasoning, and coordinated use of specialized signal-processing tools. Although large language models (L...
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ArXiv CS.LG
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ArXiv CS.LG
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EEGAgentBench marks a pivotal shift toward equipping AI models with specialized reasoning capabilities for interpreting complex, time-series medical data. By mandating multi-step signal processing, this benchmark pushes LLMs beyond mere pattern matching into the realm of autonomous diagnostic analysis.
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