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PARTAB achieves significant improvements in table reasoning by intelligently partitioning evidence, outperforming existing methods even in complex scenarios.
EdgeLM reveals that selecting edge evidence can significantly improve LLM performance in table understanding tasks, outperforming traditional similarity-based retrieval methods.
