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LLMs can track depression severity from counseling transcripts more effectively by combining clinical signals with turn-level embeddings and symptom-specific predictors, even when dealing with limited data or longitudinal context.
Forget expensive per-task search: agentic workflows can be synthesized in a single LLM pass by transferring learned structural priors, slashing optimization costs by 3 orders of magnitude.
Bridging the gap between human manipulation and robotic control, JoyAI-RA unlocks enhanced cross-embodiment behavior learning through multi-source pretraining.
