7 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.SI2022★ 2 cited
Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks?
Mayank Kejriwal, Ke Shen
In recent years, there has been a growing recognition that higher-order structures are important features in real-world networks. A particular class of structures that has gained p…
cs.CL2020★ 7 cited
Do Fine-tuned Commonsense Language Models Really Generalize?
Mayank Kejriwal, Ke Shen
Recently, transformer-based methods such as RoBERTa and GPT-3 have led to significant experimental advances in natural language processing tasks such as question answering and comm…
cs.AI2020★ 1 cited
A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base
Ke Shen, Mayank Kejriwal
Acquiring commonsense knowledge and reasoning is recognized as an important frontier in achieving general Artificial Intelligence (AI). Recent research in the Natural Language Proc…