activity
20162023
most citedEnd-to-End Neural Ad-hoc Ranking with Kernel Pooling

575 citations · 1.9k across the 58 of their papers we have counts for

collaborators

115 papers

cs.CL2023★ 1 cited

QASnowball: An Iterative Bootstrapping Framework for High-Quality Question-Answering Data Generation

Kunlun Zhu, Shihao Liang, Xu Han +4

Recent years have witnessed the success of question answering (QA), especially its potential to be a foundation paradigm for tackling diverse NLP tasks. However, obtaining sufficie…

cs.DB2023★ 6 cited

LLM As DBA

Xuanhe Zhou, Guoliang Li, Zhiyuan Liu

Database administrators (DBAs) play a crucial role in managing, maintaining and optimizing a database system to ensure data availability, performance, and reliability. However, it…

cs.AI2023

Automatic Truss Design with Reinforcement Learning

Weihua Du, Jinglun Zhao, Chao Yu +7

Truss layout design, namely finding a lightweight truss layout satisfying all the physical constraints, is a fundamental problem in the building industry. Generating the optimal la…

cs.LG2022★ 5 cited

GACT: Activation Compressed Training for Generic Network Architectures

Xiaoxuan Liu, Lianmin Zheng, Dequan Wang +9

Training large neural network (NN) models requires extensive memory resources, and Activation Compressed Training (ACT) is a promising approach to reduce training memory footprint.…

cs.CY2021★ 1 cited

From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science

Huimin Chen, Cheng Yang, Xuanming Zhang +3

Computational Social Science (CSS), aiming at utilizing computational methods to address social science problems, is a recent emerging and fast-developing field. The study of CSS i…

cs.CL2021★ 15 cited

CPM-2: Large-scale Cost-effective Pre-trained Language Models

Zhengyan Zhang, Yuxian Gu, Xu Han +16

In recent years, the size of pre-trained language models (PLMs) has grown by leaps and bounds. However, efficiency issues of these large-scale PLMs limit their utilization in real-…