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Ghost memory can mislead LLMs, but ATMA's state-aware approach boosts retrieval accuracy by over 24% on conflict-heavy benchmarks.
Finally, interpretable medical text embeddings that rival black-box models in performance, thanks to ontology-grounded question generation and a training-free approach.
