Dense X Retrieval: What Retrieval Granularity Should We Use? Paper • 2312.06648 • Published Dec 11, 2023 • 1
Improving Text Embeddings with Large Language Models Paper • 2401.00368 • Published Dec 31, 2023 • 79
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture Paper • 2401.08406 • Published Jan 16 • 37
Retrieval-Augmented Generation for Large Language Models: A Survey Paper • 2312.10997 • Published Dec 18, 2023 • 10
Some Like It Small: Czech Semantic Embedding Models for Industry Applications Paper • 2311.13921 • Published Nov 23, 2023
Segment Any Text: A Universal Approach for Robust, Efficient and Adaptable Sentence Segmentation Paper • 2406.16678 • Published Jun 24 • 14