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LLMs that ace general web browsing still fail miserably at autonomous scientific literature discovery, revealing a critical gap in research-oriented AI agent capabilities.
Asymmetric encoders, trained with a novel two-stage approach, can beat symmetric LLM-based models in Chinese medical text retrieval while maintaining low latency.
