activity
20202026
most citedSystem for systematic literature review using multiple AI agents: Concept and an empirical evaluation

9 citations · 48 across the 29 of their papers we have counts for

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Showing 2026Show all

6 papers · 1 filter

cs.CR2026

Where Did the Repair First Go Wrong? Localizing the Origins of Silent Failures in Agentic Vulnerability Repair

Wenji Bai, Muhammad Waseem, Zeeshan Rasheed +2

Localizing where an LLM-based agent first fails to uphold security during a repair can show which stage of its workflow needs an additional safeguard. This is difficult for silent…

cs.CL2026

Checkpoints Are Not Enough: Trust Calibration in CoSLR, a Human-AI System for Systematic Literature Reviews

MD Aidul Islam, Malik Abdul Sami, Muhammad Waseem +4

Systematic Literature Reviews (SLRs) are essential for evidence-based research but remain time-consuming, requiring researchers to manage large volumes of publications across plann…

cs.SE2026

When Passing Tests Hides Vulnerabilities: An Empirical Study of Silent Failures in Agentic Systems

Wenji Bai, Muhammad Waseem, Zeeshan Rasheed +2

LLM-based agents for automated code repair have received significant attention in recent years from both research and software engineering practice perspectives. However, limited a…

cs.AI2026

Agentic Frameworks for Reasoning Tasks: An Empirical Study

Zeeshan Rasheed, Abdul Malik Sami, Muhammad Waseem +3

Recent advances in agentic frameworks have enabled AI agents to perform complex reasoning and decision-making. However, evidence comparing their reasoning performance, efficiency,…

cs.SE2026

LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review

Zeeshan Rasheeda, Muhammad Waseema, Kai-Kristian Kemella +2

Large Language Models (LLMs) have enabled multi-agent systems to perform autonomous code generation for complex tasks. Despite the recent growth in research and industrial applicat…

cs.SE2026

Adopt-an-AI-Researcher: Bootstrapping Industry-Academia Collaboration to Identify and Prioritise Generative AI Use Cases

Malik Abdul Sami, Zeeshan Rasheed, Meri Olenius +4

Organisations want to use generative AI (GenAI), but many do not know where to begin. Researchers understand AI capabilities, while employees understand their organisation's proces…