30 citations · 233 across the 58 of their papers we have counts for
7 papers · 1 filter
On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product
Mayank Kejriwal, Yuesheng Luo
In recent decades, trade between nations has constituted an important component of global Gross Domestic Product (GDP), with official estimates showing that it likely accounted for…
Can Language Representation Models Think in Bets?
Zhisheng Tang, Mayank Kejriwal
In recent years, transformer-based language representation models (LRMs) have achieved state-of-the-art results on difficult natural language understanding problems, such as questi…
Understanding Substructures in Commonsense Relations in ConceptNet
Ke Shen, Mayank Kejriwal
Acquiring commonsense knowledge and reasoning is an important goal in modern NLP research. Despite much progress, there is still a lack of understanding (especially at scale) of th…
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes
Ke Shen, Mayank Kejriwal
Recent work on transformer-based neural networks has led to impressive advances on multiple-choice natural language understanding (NLU) problems, such as Question Answering (QA) an…
Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing
Akarsh Nagaraj, Mayank Kejriwal
Research has continued to shed light on the extent and significance of gender disparity in social, cultural and economic spheres. More recently, computational tools from the Natura…
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…