2 citations · 2 across the 10 of their papers we have counts for
10 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…
AI and Semantic Communication for Infrastructure Monitoring in 6G-Driven Drone Swarms
Tasnim Ahmed, Salimur Choudhury
The adoption of unmanned aerial vehicles to monitor critical infrastructure is gaining momentum in various industrial domains. Organizational imperatives drive this progression to…
An Integrated Approach to AI-Generated Content in e-health
Tasnim Ahmed, Salimur Choudhury
Artificial Intelligence-Generated Content, a subset of Generative Artificial Intelligence, holds significant potential for advancing the e-health sector by generating diverse forms…
LM4OPT: Unveiling the Potential of Large Language Models in Formulating Mathematical Optimization Problems
Tasnim Ahmed, Salimur Choudhury
In the rapidly evolving field of natural language processing, the translation of linguistic descriptions into mathematical formulation of optimization problems presents a formidabl…
Linguistic Intelligence in Large Language Models for Telecommunications
Tasnim Ahmed, Nicola Piovesan, Antonio De Domenico +1
Large Language Models (LLMs) have emerged as a significant advancement in the field of Natural Language Processing (NLP), demonstrating remarkable capabilities in language generati…