Current studies mostly focus on isolated attack
Research gap analysis derived from 3 computer_science papers in our local library.
The gap
Current studies mostly focus on isolated attack strategies, lacking multi-agent coordination mechanisms. There is a need to explore attack methods capable of handling cross-agent behaviors and model-specific vulnerabilities. The existing me
Evidence profile
Sourced from the stated research gap and future-work section of the source papers, classified as general, spanning 3 journals. Those papers have been cited 9 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 4 representative gaps
- Agentic AI Software Engineers: Programming with Trust (2026) · Communications of the ACM · cited 5× · doi
The lack of trust in AI software engineers is a major barrier to their adoption. There is a need for a unified software engineering agent that combines coding, testing, and debugging into a coherent workflow. The current LLM agents for software engineering have limitations, such as not being able to process natural language issues or not employing program analysis.
generalstated research gapKeywords: lack trust software engineers major barrier adoption there - Exploring Large Language Model‐Based Intelligent Agents: Definitions, Methods, and Prospects (2026) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · cited 2× · doi
The paper identifies a gap in the current research on LLM-based agents, particularly in terms of their potential applications and challenges. It notes that current research is still far from achieving artificial general intelligence. The paper identifies a need for further research on the development of more sophisticated and effective LLM-based agents.
generalstated research gapevidence 5/5Keywords: paper identifies gap current research llm-based agents particularly - Exploring Large Language Model‐Based Intelligent Agents: Definitions, Methods, and Prospects (2026) · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · cited 2× · doi
The paper suggests that future research should focus on addressing the challenges faced by LLM-based agents, such as LLM's inherent limitations, dynamic expansion of MAS, and security and trust issues. It proposes that future research should explore the potential applications of LLM-based agents in various fields. The paper suggests that future research should aim to develop more sophisticated and effective LLM-based agents.
generalfuture-work sectionevidence 5/5Keywords: paper suggests future research focus addressing challenges faced - Breaking Barriers: Multi-Agent Prompt Fusion for Automated LLM Jailbreaks (2026) · Cognitive Computation · doi
Current studies mostly focus on isolated attack strategies, lacking multi-agent coordination mechanisms. There is a need to explore attack methods capable of handling cross-agent behaviors and model-specific vulnerabilities. The existing methods have limited attack effectiveness and fail to fully exploit the potential security vulnerabilities of LLMs.
generalstated research gapevidence 5/5Keywords: current studies mostly focus isolated attack strategies lacking
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