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Dep-LLM achieves superior depression diagnosis accuracy without any training, outperforming both zero-shot and state-of-the-art supervised models.
LLMs can now reason far better in low-resource domains, thanks to a new method that aligns their thinking with high-resource domains using "reasoning representation alignment."