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Author

Nick Sherck

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ChEmbed: Enhancing Chemical Literature Search Through Domain-Specific Text Embeddings

ChEmbed is introduced, the first purpose-built family of domain-adapted text embedding models engineered for chemical literature retrieval, and represents a practical, lightweight, and reproducible embedding solution that effectively improves chemical literature retrieval.

Ali Shiraee Kasmaee, Mohammad Khodadad, Mehdi Astaraki et al. · 4 citations · ⚡1

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