#natural language process...
Aug 2025
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.
· arXiv.org · 4 citations
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