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Your Prompt Should Do More: Effects of Retrieval Instructions in Embedding Models

Paper recorded by Signals 4 on 2026-10-07 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-07 on arXiv · recorded by Signals 4 on 2026-10-08

Category: cs.CL · 自然语言处理 · first seen 2026-10-08

Abstract

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 to follow such instructions reliably. In this paper, we study the mechanism of how instructions act

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#296 most recent of 660 cs.CL papers we have recorded · ↑ newer: EngramEdit: Decoupled Knowledge Updates in LLMs through Conditional Me · ↓ older: CoTrace: Data Recipes for Training Terminal Agents with Harness-Model
Cite this page: Your Prompt Should Do More: Effects of Retrieval Instructions in Embedding Models: the #296 most recent of 660 cs.CL papers we have recorded (as of 2026-10-07). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/your-prompt-should-do-more-effects-of-retrieval-instructions-in-embedding-models.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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