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cs.CL2026
Your Prompt Should Do More: Effects of Retrieval Instructions in Embedding Models
Amanda Myntti, Jenna Kanerva, Veronika Laippala +1
Prompted embedding models have recently received increasing attention, particularly for retrieval, where detailed retrieval instructions are provided as part of the retrieval promp…
cs.CL2026
Structure Retention in Embedding Spaces as a Predictor of Benchmark Performance
Amanda Myntti, Jenna Kanerva, Veronika Laippala +1
In this paper, we show that high-performing embedding models organize their embedding spaces in a consistent way. We evaluate 25 contemporary embedding models on five MTEB tasks sp…