activity
20242026
most citedMind the Links: Cross-Layer Attention for Link Prediction in Multiplex Networks

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

SEEK: Semantic Evidence Extraction via Adaptive ChunKing for Multilingual Fact-Checking

Gaurav Kumar, Babu Kumar, Ayush Garg +2

Multilingual fact verification requires evidence that is both relevant and sufficiently complete for reliable factuality prediction. However, existing systems often rely on search…

cs.CR2026

RuleForge: Automated Generation and Validation for Web Vulnerability Detection at Scale

Ayush Garg, Sophia Hager, Jacob Montiel +5

Security teams face a challenge: the volume of newly disclosed Common Vulnerabilities and Exposures (CVEs) far exceeds the capacity to manually develop detection mechanisms. In 202…

cs.LG2025★ 1 cited

Mind the Links: Cross-Layer Attention for Link Prediction in Multiplex Networks

Devesh Sharma, Aditya Kishore, Ayush Garg +3

Multiplex graphs capture diverse relations among shared nodes. Most predictors either collapse layers or treat them independently. This loses crucial inter-layer dependencies and s…

cs.CL2025

Entailed Opinion Matters: Improving the Fact-Checking Performance of Language Models by Relying on their Entailment Ability

Gaurav Kumar, Ayush Garg, Debajyoti Mazumder +3

Automated fact-checking has been a challenging task for the research community. Prior work has explored various strategies, such as end-to-end training, retrieval-augmented generat…

cs.LG2024

Graph Transformers without Positional Encodings

Ayush Garg

Recently, Transformers for graph representation learning have become increasingly popular, achieving state-of-the-art performance on a wide-variety of graph datasets, either alone…