activity
20222024
most citedFengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence

47 citations · 95 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SE2024★ 16 cited

MultiTest: Physical-Aware Object Insertion for Testing Multi-sensor Fusion Perception Systems

Xinyu Gao, Zhijie Wang, Yang Feng +3

Multi-sensor fusion stands as a pivotal technique in addressing numerous safety-critical tasks and applications, e.g., self-driving cars and automated robotic arms. With the contin…

cs.SE2023★ 31 cited

Benchmarking Robustness of AI-Enabled Multi-sensor Fusion Systems: Challenges and Opportunities

Xinyu Gao, Zhijie Wang, Yang Feng +3

Multi-Sensor Fusion (MSF) based perception systems have been the foundation in supporting many industrial applications and domains, such as self-driving cars, robotic arms, and unm…

cs.CL2022

TCBERT: A Technical Report for Chinese Topic Classification BERT

Ting Han, Kunhao Pan, Xinyu Chen +5

Bidirectional Encoder Representations from Transformers or BERT~\cite{devlin-etal-2019-bert} has been one of the base models for various NLP tasks due to its remarkable performance…

cs.CL2022★ 1 cited

Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective

Ping Yang, Junjie Wang, Ruyi Gan +6

We propose a new paradigm for zero-shot learners that is format agnostic, i.e., it is compatible with any format and applicable to a list of language tasks, such as text classifica…

cs.CL2022★ 47 cited

Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence

Jiaxing Zhang, Ruyi Gan, Junjie Wang +22

Nowadays, foundation models become one of fundamental infrastructures in artificial intelligence, paving ways to the general intelligence. However, the reality presents two urgent…