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TriAgent: Divergence-Aware Multi-Agent Committees for Cost-Efficient Financial Sentiment Analysis

Xu, Isabel et al.
arXiv (All) · Papers
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and-sciencecomputation-and-languagecomputational-engineeringdatabasesfinancemachine-learning
Production LLM-based financial sentiment analysis faces a structural cost trap: most queries are trivially classifiable, yet expensive cloud reasoners process them all, and the bill scales linearly with user count. We present TriAgent, a multi-agent committee stratified by contextual granularity --
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