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LLM-Agent Decomposition Study Explores Task Sizing for VAT Determination

By PulseAugur Editorial · [2 sources] ·

A pilot study explored the optimal decomposition of tasks for Large Language Model (LLM) agents in Value Added Tax (VAT) determination. The research compared configurations ranging from a single, broad agent to five specialized, narrow agents, holding other factors like the base model and orchestrator constant. While intermediate configurations showed higher accuracy (0.830) compared to single or highly fragmented agents, they did not meet the pre-defined accuracy threshold, leaving the hypothesis of intermediate optimums unsupported at this pilot scale. The study also found that the single agent did not consistently outperform orchestrated systems, and failure injection revealed that wider restart mechanisms could recover from errors, whereas schema-conforming hallucinations degraded performance across all configurations. AI

IMPACT Provides a heuristic for right-sizing LLM-agent task decomposition, potentially improving efficiency in complex decision-making processes.

RANK_REASON The cluster contains an academic paper detailing a pilot study on LLM-agent decomposition.

Read on arXiv cs.MA (Multiagent) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LLM-Agent Decomposition Study Explores Task Sizing for VAT Determination

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The cluster contains an academic paper detailing a pilot study on LLM-agent decomposition.
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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Pedro Santos ·

    Right-Sizing LLM-Agent Decomposition in VAT Determination: A Pilot Controlled Sweep

    arXiv:2608.23395v1 Announce Type: cross Abstract: Recent LLM-agent systems make conflicting design bets: decompose work across many narrow agents, or use one strong tool-using agent. This pilot studies that choice on bounded cross-border VAT determination with reverse charge, whe…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Pedro Santos ·

    Right-Sizing LLM-Agent Decomposition in VAT Determination: A Pilot Controlled Sweep

    Recent LLM-agent systems make conflicting design bets: decompose work across many narrow agents, or use one strong tool-using agent. This pilot studies that choice on bounded cross-border VAT determination with reverse charge, where every case has an oracle label and each interme…

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