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cs.IR2026
Score-Only Distillation for Compact Dense Retrieval
Kirill Dubovikov, Martin Takac, Salem Lahlou
Large embedding models improve retrieval quality, but serving large encoders online is expensive. We study whether a compact retriever can learn teacher ranking behavior from score…
cs.IR2026
PETRA: Transforming Web Text for Petroleum-Engineering Domain Adaptation
Kirill Dubovikov, Omar El Mansouri, Hachem Madmoun +12
Petroleum-engineering search exposes a supervision gap for strong general retrievers: relevant evidence exists in public web text, but domain relevance labels are scarce. To addres…