EMNLP 2026 Paper: Training a Dense Retriever for Oblique Queries
lateinteraction · x · 2026-08-23
The paper "OBLIQ-IR" has been accepted to #EMNLP2026. It addresses oblique queries in retrieval, where relevance is based on implicit stance, proof strategy, or authorial perspective rather than topical match. The research proposes training a dense retriever capable of handling these non-topical relevance factors.
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