15 citations · 29 across the 4 of their papers we have counts for
6 papers
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science
Veniamin Veselovsky, Manoel Horta Ribeiro, Akhil Arora +3
Large Language Models (LLMs) have democratized synthetic data generation, which in turn has the potential to simplify and broaden a wide gamut of NLP tasks. Here, we tackle a perva…
Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus
Vuk Vuković, Akhil Arora, Huan-Cheng Chang +2
The use of attributed quotes is the most direct and least filtered pathway of information propagation in news. Consequently, quotes play a central role in the conception, reception…
Strong Heuristics for Named Entity Linking
Marko Čuljak, Andreas Spitz, Robert West +1
Named entity linking (NEL) in news is a challenging endeavour due to the frequency of unseen and emerging entities, which necessitates the use of unsupervised or zero-shot methods.…
Wikipedia Reader Navigation: When Synthetic Data Is Enough
Akhil Arora, Martin Gerlach, Tiziano Piccardi +2
Every day millions of people read Wikipedia. When navigating the vast space of available topics using hyperlinks, readers describe trajectories on the article network. Understandin…
HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces
Akhil Arora, Sakshi Sinha, Piyush Kumar +1
Nearest neighbor searching of large databases in high-dimensional spaces is inherently difficult due to the curse of dimensionality. A flavor of approximation is, therefore, necess…
Holistic Influence Maximization: Combining Scalability and Efficiency with Opinion-Aware Models
Sainyam Galhotra, Akhil Arora, Shourya Roy
The steady growth of graph data from social networks has resulted in wide-spread research in finding solutions to the influence maximization problem. In this paper, we propose a ho…