8 papers
From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
Aritra Roy, Kevin Shen, Andrew MacBride +350
Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…
Vision Language Models for Optimization-Driven Intent Processing in Autonomous Networks
Tasnim Ahmed, Yifan Zhu, Salimur Choudhury
Intent-Based Networking (IBN) allows operators to specify high-level network goals rather than low-level configurations. While recent work demonstrates that large language models c…
LM4Opt-RA: A Multi-Candidate LLM Framework with Structured Ranking for Automating Network Resource Allocation
Tasnim Ahmed, Siana Rizwan, Naveed Ejaz +1
Building on advancements in Large Language Models (LLMs), we can tackle complex analytical and mathematical reasoning tasks requiring nuanced contextual understanding. A prime exam…
SLA-Centric Automated Algorithm Selection Framework for Cloud Environments
Siana Rizwan, Tasnim Ahmed, Salimur Choudhury
Cloud computing offers on-demand resource access, regulated by Service-Level Agreements (SLAs) between consumers and Cloud Service Providers (CSPs). SLA violations can impact effic…
SIMCODE: A Benchmark for Natural Language to ns-3 Network Simulation Code Generation
Tasnim Ahmed, Mirza Mohammad Azwad, Salimur Choudhury
Large language models (LLMs) have demonstrated remarkable capabilities in code generation across various domains. However, their effectiveness in generating simulation scripts for…
CHORUS: Zero-shot Hierarchical Retrieval and Orchestration for Generating Linear Programming Code
Tasnim Ahmed, Salimur Choudhury
Linear Programming (LP) problems aim to find the optimal solution to an objective under constraints. These problems typically require domain knowledge, mathematical skills, and pro…