69 citations · 86 across the 11 of their papers we have counts for
3 papers · 1 filter
From Discussion to Execution: Replicating Buggy and Correct Data Science Code
Ragib Shahariar Ayon, Mohammad Wardat, Shibbir Ahmed
Reproducing reliable data science code from informal sources is challenging due to ambiguous problem specifications, missing dependencies, and performance bottlenecks. Although dev…
SelfHeal: Empirical Fix Pattern Analysis and Bug Repair in LLM Agents
Niful Islam, Muhammad Anas Raza, Mohammad Wardat
Large Language Models (LLMs) have transformed software development and AI applications. While LLMs are designed for text processing, LLM agents extend this capability by enabling a…
When Agents Fail: A Comprehensive Study of Bugs in LLM Agents with Automated Labeling
Niful Islam, Ragib Shahriar Ayon, Deepak George Thomas +2
Large Language Models (LLMs) have revolutionized intelligent application development. While standalone LLMs cannot perform any actions, LLM agents address the limitation by integra…