1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.IR2025
A Representation Sharpening Framework for Zero Shot Dense Retrieval
Dhananjay Ashok, Suraj Nair, Mutasem Al-Darabsah +3
Zero-shot dense retrieval is a challenging setting where a document corpus is provided without relevant queries, necessitating a reliance on pretrained dense retrievers (DRs). Howe…
cs.IR2023★ 1 cited
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models
Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang +5
Embedding-based Retrieval Models (ERMs) have emerged as a promising framework for large-scale text retrieval problems due to powerful large language models. Nevertheless, fine-tuni…