Automatically generated multi-agent systems underperform CoT-SC on benchmarks and a new diagnostic dataset, exposing architectural bloat that fails to deliver functional utility.
Single-agent or Multi -agent Systems ? Why Not Both ?, May 2025
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
years
2026 6verdicts
UNVERDICTED 6representative citing papers
StepFinder turns execution logs into temporal semantic sequences via LLMs then uses temporal modeling plus attention to attribute failures to specific steps more accurately and 79% faster than direct LLM methods on the Who&When benchmark.
Empirical comparison of agentic topologies for offensive security shows MAS-Indep reaching 64.2% validated detection while simpler baselines remain competitive on efficiency, with whitebox and web targets outperforming blackbox and binary ones.
Single-agent LLM frameworks outperform naive multi-agent systems in multimodal clinical risk prediction tasks and are better calibrated.
Single-agent RAG pipeline matches multi-agent lexical quality for README generation while cutting token consumption by 86% and doubling speed, with developer-guided planning yielding the highest overall quality.
A Layer Execution Graph multi-agent system for hydrodynamics achieves 93.6% factual precision and 100% pass rate on 37 queries while degrading gracefully under data loss.
citing papers explorer
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The Illusion of Multi-Agent Advantage
Automatically generated multi-agent systems underperform CoT-SC on benchmarks and a new diagnostic dataset, exposing architectural bloat that fails to deliver functional utility.
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StepFinder: A Temporal Semantic Framework for Failure Attribution in Multi-Agent Systems
StepFinder turns execution logs into temporal semantic sequences via LLMs then uses temporal modeling plus attention to attribute failures to specific steps more accurately and 79% faster than direct LLM methods on the Who&When benchmark.
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Towards Optimal Agentic Architectures for Offensive Security Tasks
Empirical comparison of agentic topologies for offensive security shows MAS-Indep reaching 64.2% validated detection while simpler baselines remain competitive on efficiency, with whitebox and web targets outperforming blackbox and binary ones.
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AgentRx: A Benchmark Study of LLM Agents for Multimodal Clinical Prediction Tasks
Single-agent LLM frameworks outperform naive multi-agent systems in multimodal clinical risk prediction tasks and are better calibrated.
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The Illusion of Agentic Complexity in README.md Generation: Evaluating Single-Agent vs. Multi-Agent RAG Systems
Single-agent RAG pipeline matches multi-agent lexical quality for README generation while cutting token consumption by 86% and doubling speed, with developer-guided planning yielding the highest overall quality.
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Towards Multi-Agent Autonomous Reasoning in Hydrodynamics
A Layer Execution Graph multi-agent system for hydrodynamics achieves 93.6% factual precision and 100% pass rate on 37 queries while degrading gracefully under data loss.