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Multiprobe grid search reveals a surprising dimensional robustness that traditional ANN methods lack, maintaining efficiency even as dimensions increase.
COMPASS outperforms traditional multilingual fine-tuning by effectively leveraging semantic gaps to enhance cross-lingual transfer and model adaptability.
Static benchmarks can be fooled by fluent text and aligned citations, but DREAM leverages agentic evaluation to expose the critical capability mismatch in assessing temporal validity and factual correctness of research agents.
