Papers by Ziqin Zhu

1 papers
David vs. Goliath: Cost-Efficient Financial QA via Cascaded Multi-Agent Reasoning (2025.findings-emnlp)

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Challenge: Large language models have demonstrated remarkable reasoning capabilities, but performance in FQA remains limited.
Approach: They propose a low-cost yet effective framework that enables small LLMs to perform complex reasoning tasks without expensive models.
Outcome: The proposed framework outperforms the best open-source model on BizBench by 10.46% and achieves competitive performance to GPT-3.5 using significantly fewer parameters.

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