新研究利用先进AI框架解决零样本检索问题 · 追踪2个来源

报道来源 [3]

1. arXiv cs.LG TIER_1 English(EN) · Sachin Yadav, Deepak Saini, Anirudh Buvanesh, Bhawna Paliwal, Kunal Dahiya, Siddarth Asokan, Yashoteja Prabhu, Jian Jiao, Manik Varma · 2026-06-25 04:00

   Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval

   arXiv:2606.25237v1 Announce Type: cross Abstract: We develop accurate and efficient solutions for large-scale retrieval tasks where novel (zero-shot) items can arrive continuously at a rapid pace. Conventional Siamese-style approaches embed both queries and items through a small …

2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Manik Varma · 2026-06-23 23:41

   Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval

   We develop accurate and efficient solutions for large-scale retrieval tasks where novel (zero-shot) items can arrive continuously at a rapid pace. Conventional Siamese-style approaches embed both queries and items through a small encoder and retrieve the items lying closest to th…

3. arXiv cs.CV TIER_1 English(EN) · Tong Wang, Yunhan Zhao, Shu Kong · 2026-06-26 04:00

   Generating a Paracosm for Training-Free Zero-Shot Composed Image Retrieval

   arXiv:2602.00813v5 Announce Type: replace Abstract: Composed Image Retrieval (CIR) is the task of retrieving a target image from a database using a multimodal query, which consists of a reference image and a modification text. The text specifies how to alter the reference image t…