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JFinTEB: Japanese Financial Text Embedding Benchmark

arXiv cs.CL · 2026-04-20 Cached

JFinTEB introduces the first comprehensive benchmark for evaluating Japanese financial text embeddings, addressing a gap in domain-specific and language-specific evaluation resources. The benchmark includes retrieval and classification tasks evaluated across Japanese-specific, multilingual, and commercial embedding models, with datasets and evaluation framework publicly released.

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