Work

HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference

Year: 2025

Type: conference-paper

Abstract: Ping Gong, Jiawei Yi, Shengnan Wang, Juncheng Zhang, Zewen Jin, Ouxiang Zhou, Ruibo Liu, Guanbin Xu, Youhui Bai, Bowen Ye, Kun Yuan, Tong Yang, Gong Zhang, Renhai Chen, Feng Wu, Cheng Li. Findings of the Association for Computational Linguistics: ACL 2025. 2025.

DOI: 10.18653/v1/2025.findings-acl.1275

Authors: Ping Gong, Jiawei Yi, Shengnan Wang, Juncheng Zhang, Zewen Jin, Ouxiang Zhou, Ruibo Liu, Guanbin Xu, Youhui Bai, Bowen Ye, Kun Yuan, Tong Yang, Gong Zhang, Renhai Chen, Feng Wu, Cheng Li

Institutions: University of Science and Technology of China, Peking University, Huawei Technologies (China)

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Funder: Chinese Academy of Sciences

Award: G5069622250

OpenAlex ID: W4412944640

FWCI: 3.026

Cites:

Cited by: 3

Related to: 10