3 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.AI2026
Information-Gain Rewards over Diversity-Pruned Tests: GT-Anchored Verifier Co-Training for Reliable Code Generation
Ana Nunez, Peyman Najafirad
Self-play methods that co-train a single language model as both coder and test author promise to move code-generation RL beyond fixed test suites, but they suffer from two coupled…
cs.CR2024★ 2 cited
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…
cs.SE2024★ 3 cited
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…