e5_large
e5-large-54383529·2 events·first seen 26d agoAliases: e5_large, e5-sk-large
Co-occurring entities
More like this (12)
Recent events (2)
Automated ICD Classification of Psychiatric Diagnoses Using NLP and LLMs
This study evaluates NLP and ML approaches for automating the mapping of free-text psychiatric descriptions to ICD diagnostic codes, using a dataset of 145,513 Spanish clinical records. Methods range from classical BoW/TF-IDF representations to transformer-based embeddings including e5_large, BioLORD, and Llama-3-8B. Fine-tuned e5_large achieved the best performance with a micro-F1 of 0.866, outperforming classical methods by capturing semantic nuance and medical terminology. The work highlights challenges of long-tail label distributions and ambiguity specific to psychiatric clinical language.
SkMTEB: First comprehensive MTEB-style text embedding benchmark for Slovak with adapted E5 models
Researchers introduce SkMTEB, the first MTEB-style embedding benchmark for Slovak, covering 31 datasets across 7 task types — roughly 4× the existing multilingual benchmark coverage for the language. Evaluation of 31 embedding models shows large instruction-tuned multilingual models outperform Slovak-specific NLU models on embedding tasks. The authors also release e5-sk-small (45M) and e5-sk-large (365M), derived from Multilingual E5 via vocabulary trimming and fine-tuning, achieving competitive performance with proprietary APIs at up to 62% size reduction.