Learning to Aggregate Zero-Shot LLM Agents for Corporate Disclosure Classification

By Kemal Kirtac

Published 2026-04-30

Everscope rating

1834.4

Relevance to quantitative trading

8 / 10

Implementation complexity

4 / 10

Reproducibility

4 / 5

About this paper

Methodology: Multi-Agent Zero-Shot Aggregation with Logistic Meta-Classifier. Problem types: Classification, Natural Language Processing, Zero-shot Learning.

arXiv:2603.20965 · Paper rankings

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