1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IR2024
Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-box Neural Ranking Models
Yu-An Liu, Ruqing Zhang, Jiafeng Guo +3
Neural ranking models (NRMs) have been shown to be highly effective in terms of retrieval performance. Unfortunately, they have also displayed a higher degree of sensitivity to att…
cs.IR2024
On the Robustness of Generative Information Retrieval Models
Yu-An Liu, Ruqing Zhang, Jiafeng Guo +3
Generative information retrieval methods retrieve documents by directly generating their identifiers. Much effort has been devoted to developing effective generative IR models. Les…
q-bio.QM2021★ 1 cited
De Novo Molecular Generation with Stacked Adversarial Model
Yuansan Liu, James Bailey
Generating novel drug molecules with desired biological properties is a time consuming and complex task. Conditional generative adversarial models have recently been proposed as pr…