120 citations · 223 across the 19 of their papers we have counts for
4 papers · 1 filter
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…
MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages
Maximilian Idahl, Jörg Tiedemann, Sampo Pyysalo +19
Open web-scale pre-training corpora remain concentrated in English, limiting multilingual LLM development. We introduce MultiSynt/MT, an open synthetic parallel corpus with approxi…
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…
Measuring Social Integration Through Participation: Categorizing Organizations and Leisure Activities in the Displaced Karelians Interview Archive using LLMs
Joonatan Laato, Veera Schroderus, Jenna Kanerva +3
Digitized historical archives make it possible to study everyday social life on a large scale, but the information extracted directly from text often does not directly allow one to…