6 papers
GRPO Does Not Close the Multi-Agent Coordination Gap
Najmul Hasan, Prashanth BusiReddyGari
We measure how well current large language models coordinate as multiple agents sharing a common resource, using the dining philosophers problem as a clean test bed. Across 630 epi…
DPBench: Structural Determinants of Multi-Agent LLM Coordination Under Simultaneous Resource Contention
Najmul Hasan, Prashanth BusiReddyGari
We present DPBench, a benchmark for evaluating coordination in multi-agent systems built from large language models. Existing benchmarks measure task-level success under a fixed pr…
Time-Complexity Characterization of NIST Lightweight Cryptography Finalists
Najmul Hasan, Prashanth BusiReddyGari
Lightweight cryptography is becoming essential as emerging technologies in digital identity systems and Internet of Things verification continue to demand strong cryptographic assu…
Benchmarking Large Language Models for Zero-shot and Few-shot Phishing URL Detection
Najmul Hasan, Prashanth BusiReddyGari
The Uniform Resource Locator (URL), introduced in a connectivity-first era to define access and locate resources, remains historically limited, lacking future-proof mechanisms for…
Phishing Email Detection Using Large Language Models
Najmul Hasan, Prashanth BusiReddyGari, Haitao Zhao +3
Email phishing is one of the most prevalent and globally consequential vectors of cyber intrusion. As systems increasingly deploy Large Language Models (LLMs) applications, these s…
Decoding Neighborhood Environments with Large Language Models
Andrew Cart, Shaohu Zhang, Melanie Escue +5
Neighborhood environments include physical and environmental conditions such as housing quality, roads, and sidewalks, which significantly influence human health and well-being. Tr…