Conference
Open access
2026
Let Retrievers Think Before Action: Thought-Augmented Embedding for Dense Retrieval
The O1 Embedder is proposed, a novel approach aiming to endow retrieval models with similar capabilities to address challenges like multi-task retrieval, zero-shot retrieval, and tasks requiring intensive reasoning of complex relationships.
Ruiran Yan, Wen Xiong, Ze Liu et al.
· Annual Meeting of the Associ... · 2 citations