Author

Soheila Samiee

3 papers indexed here

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#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 · ⚡1

#machine learning Preprint Sep 2026

Extending FunctionGemma for Practical On-Device Mobile Function Calling

This work extends FunctionGemma 270M-it to practical Android workflows by introducing MOBILEACTIONSEXTENDED, a synthetic, schema-validated dataset of ~9,500 conversations covering fifteen device-control categories, highlighting compact local function calling as a practical path towards low-latency and privacy-preservin...

Ali Rezagholizadeh, Soheila Samiee · 0 citations

#natural language process... Preprint Sep 2026

ChemCLIR-Bench: Benchmarking Cross-Lingual Information Retrieval in Multilingual Chemical Patents

A controlled diagnostic evaluation framework for CLIR over industrial technical text is established and some multilingual embedding models that perform strongly in monolingual settings exhibit sharp declines when queries and documents are in different languages, providing practical insights for model selection in cross...

Mahdi Astaraki, Mohammad Khodadad, Reza Namazi et al. · 0 citations