2 citations · 2 across the 12 of their papers we have counts for
13 papers
Detecting Argument-Swap Bugs Using Context-Enhanced Code Representations
Subrata Das, Ali Aman, Muhammad Asaduzzaman +2
Names of source code elements convey rich semantic information and have been widely used in software engineering tasks such as bug detection, code completion, type prediction, and…
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…
mind_call: A Dataset for Mental Health Function Calling with Large Language Models
Fozle Rabbi Shafi, M. Anwar Hossain, Salimur Choudhury
Large Language Model (LLM)-based systems increasingly rely on function calling to enable structured and controllable interaction with external data sources, yet existing datasets d…
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…
A Comprehensive Survey of Linear, Integer, and Mixed-Integer Programming Approaches for Optimizing Resource Allocation in 5G and Beyond Networks
Naveed Ejaz, Salimur Choudhury
The introduction of 5G networks has significantly advanced communication technology, offering faster speeds, lower latency, and greater capacity. This progress sets the stage for B…
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…
A Multi-faceted Semi-Synthetic Dataset for Automated Cyberbullying Detection
Naveed Ejaz, Fakhra Kashif, Salimur Choudhury
In recent years, the rising use of social media has propelled automated cyberbullying detection into a prominent research domain. However, challenges persist due to the absence of…