7 papers
From Metrics to Improvement: A Lifecycle-Aware LLM Feedback Framework for Research Software Quality
Nafis Tanveer Islam, Nafiseh Soveizi, Yutong Li +1
Research software is increasingly central to scientific workflows, yet it is often developed by researchers with limited software engineering expertise. This can lead to quality is…
How Reliable are LLMs for Reasoning on the Re-ranking task?
Nafis Tanveer Islam, Zhiming Zhao
With the improving semantic understanding capability of Large Language Models (LLMs), they exhibit a greater awareness and alignment with human values, but this comes at the cost o…
How good are LLMs at Retrieving Documents in a Specific Domain?
Nafis Tanveer Islam, Zhiming Zhao
Classical search engines using indexing methods in data infrastructures primarily allow keyword-based queries to retrieve content. While these indexing-based methods are highly sca…
Enhancing Reverse Engineering: Investigating and Benchmarking Large Language Models for Vulnerability Analysis in Decompiled Binaries
Dylan Manuel, Nafis Tanveer Islam, Joseph Khoury +3
Security experts reverse engineer (decompile) binary code to identify critical security vulnerabilities. The limited access to source code in vital systems - such as firmware, driv…
AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing
Ana Nunez, Nafis Tanveer Islam, Sumit Kumar Jha +1
Recent advancements in automatic code generation using large language models (LLMs) have brought us closer to fully automated secure software development. However, existing approac…
Enhancing Source Code Security with LLMs: Demystifying The Challenges and Generating Reliable Repairs
Nafis Tanveer Islam, Joseph Khoury, Andrew Seong +2
With the recent unprecedented advancements in Artificial Intelligence (AI) computing, progress in Large Language Models (LLMs) is accelerating rapidly, presenting challenges in est…