arXiv (All)
open access
Your Prompt Should Do More: Effects of Retrieval Instructions in Embedding Models
Prompted embedding models have recently received increasing attention, particularly for retrieval, where detailed retrieval instructions are provided as part of the retrieval prompt. Several new datasets and studies have examined this setting, showing that the current embedding models often struggle
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Learning Multimodal Embeddings with Evidence-Aligned Readout#1118732
- Lend Me Your Eyes: Instruction-Aware Text Embeddings via Attention Relay#1201577
- Learning an Anchored Prompt Space for Continual Adaptation of Large Language Models#1116830
- Omni-Embed-Audio: Leveraging Multimodal LLMs for Robust Audio-Text Retrieval#1344561
- Document-as-Image Representations Fall Short for Scientific Retrieval#1344562
Record · ID 1234933
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive