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The dataframe, df, is already populated with data for your analysis, do not initialize it, but focus solely on manipulating df to arrive at the answer

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Team Anotheroption at SemEval-2025 Task 8: Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA

cs.CL · 2025-06-11 · accept · novelty 4.0

A hybrid open-source LLM pipeline for table QA achieves 80% accuracy on SemEval-2025 Task 8, ranking 13th among open-source systems.

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Team Anotheroption at SemEval-2025 Task 8: Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA cs.CL · 2025-06-11 · accept · none · ref 8
A hybrid open-source LLM pipeline for table QA achieves 80% accuracy on SemEval-2025 Task 8, ranking 13th among open-source systems.

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