AI RESEARCH
What Factors Affect LLMs and RLLMs in Financial Question Answering?
arXiv CS.CL
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ArXi:2507.08339v4 Announce Type: replace Recently, large language models (LLMs) and reasoning large language models (RLLMs) have gained considerable attention from many researchers. RLLMs enhance the reasoning capabilities of LLMs through Long Chain-of-Thought (Long CoT) processes, significantly improving the performance of LLMs in addressing complex problems. However, there are few works that systematically explore what methods can fully unlock the performance of LLMs and RLLMs within the financial domain.