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04/12/2023
Rethinking Dense Retrieval's Few-Shot Ability
Few-shot dense retrieval (DR) aims to effectively generalize to novel se...
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10/31/2022
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives
In this paper, we investigate the instability in the standard dense retr...
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10/27/2022
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning
We present a new zero-shot dense retrieval (ZeroDR) method, COCO-DR, to ...
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12/29/2020
Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision
Neural Information Retrieval (Neu-IR) models have shown their effectiven...
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11/03/2020
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search
Neural rankers based on deep pretrained language models (LMs) have been ...
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04/28/2020
