# High Recall Rate

Marqo-FashionSigLIP is a multimodal embedding model optimized for fashion product search, achieving a 57% improvement in MRR and recall rate compared to FashionCLIP.

A baby cry classification model fine-tuned based on distilhubert, performing well on audio classification tasks

A RoBERTa model pre-trained on multilingual legal texts and fine-tuned for Indian legal named entity recognition tasks

French text classification model based on CamemBERT architecture, specifically designed for paragraph reordering tasks in the legal domain

This is a French cross-encoder model based on XLM-RoBERTa, specifically designed for passage re-ranking tasks in semantic search.

Dragon-multiturn is a retriever specifically designed for conversational question-answering scenarios, capable of handling dialogue queries that combine conversation history with current queries.

ColBERT-XM is a multilingual passage retrieval model based on the ColBERT architecture, supporting sentence similarity calculation and passage retrieval tasks in multiple languages.

A sentiment analysis model based on BETO (Spanish version of BERT), supporting sentiment classification for Spanish text.

A semantic search model based on BERT architecture, optimized for information retrieval systems, capable of mapping text to a 768-dimensional vector space

MS-Marco passage re-ranking model trained on CoT-MAE architecture to enhance dense passage retrieval performance

A named entity recognition model fine-tuned on the tweetner7 dataset based on roberta-base, specifically designed for entity recognition in Twitter text.

A named entity recognition model fine-tuned on the tner/tweetner7 dataset based on roberta-large, specifically designed for entity recognition in Twitter text

SPLADE model for passage retrieval, improving sparse neural information retrieval through knowledge distillation

SPLADE model for passage retrieval, improving retrieval effectiveness through sparse latent document expansion and knowledge distillation techniques

Fine-tuned model based on the GPT-2 architecture, optimized for specific tasks

A binary classification model fine-tuned on biomedical text using PubMedBERT, designed for marker association classification tasks