1 citations · 2 across the 6 of their papers we have counts for
6 papers
Measuring research data reuse in scholarly publications using generative artificial intelligence: Open Science Indicator development and preliminary results
Lauren Cadwallader, Iain Hrynaszkiewicz, parth sarin +1
Numerous metascience studies and other initiatives have begun to monitor the prevalence of open science practices when it is more important to understand the 'downstream' effects o…
RenoBench: A Citation Parsing Benchmark
Parth Sarin, Juan Pablo Alperin, Adam Buttrick +1
Accurate parsing of citations is necessary for machine-readable scholarly infrastructure. But, despite sustained interest in this problem, existing evaluation techniques are often…
Citation Parsing and Analysis with Language Models
Parth Sarin, Juan Pablo Alperin
A key type of resource needed to address global inequalities in knowledge production and dissemination is a tool that can support journals in understanding how knowledge circulates…
A global AI community requires language-diverse publishing
Haley Lepp, Parth Sarin
In this provocation, we discuss the English dominance of the AI research community, arguing that the requirement for English language publishing upholds and reinforces broader regi…
On the geometry of Tensor Network States of Grids
Parth Sarin
We discuss the geometry of a class of tensor network states, called projected entangled pair states in the Physics literature. We provide initial results towards a question of Vers…
Cup length as a bound on topological complexity
Parth Sarin
Polynomial solving algorithms are essential to applied mathematics and the sciences. As such, reduction of their complexity has become an incredibly important field of topological…