3 citations · 3 across the 3 of their papers we have counts for
3 papers
A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs
V. S. D. S. Mahesh Akavarapu, Hrishikesh Terdalkar, Pramit Bhattacharyya +5
Large Language Models (LLMs) have demonstrated remarkable generalization capabilities across diverse tasks and languages. In this study, we focus on natural language understanding…
VerSaChI: Finding Statistically Significant Subgraph Matches using Chebyshev's Inequality
Shubhangi Agarwal, Sourav Dutta, Arnab Bhattacharya
Approximate subgraph matching, which is an important primitive for many applications like question answering, community detection, and motif discovery, often involves large labeled…
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations
Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya +1
Majority of the existing graph neural networks (GNN) learn node embeddings that encode their local neighborhoods but not their positions. Consequently, two nodes that are vastly di…