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RePoT improves Program-of-Thought by enabling deterministic recovery from invalid actions through checkpoint-based repair, achieving higher success rates across multiple models and benchmarks.
This paper introduces FinAgent-RAG, an agentic framework for financial document question answering that combines iterative retrieval, Program-of-Thought reasoning, and adaptive resource allocation to improve accuracy and reduce costs.