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zhangtianshu authored Nov 22, 2023
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Expand Up @@ -556,7 +556,7 @@ <h2 class="title is-3">Data Statistics</h2>
<h2 class="title is-3">In-domain Evaluation</h2>

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We first evaluate <b>TableLlama</b> on 8 in-domain test sets. Due to the special semi-structured nature of tables, for most table-based tasks, existing work achieves SOTA results by using pretraining on large-scale tables and/or special model architecture design tailored for tables. Surprisingly, <b>with a unified format and no extra special design, <b>TableLlama</b> can achieve comparable or even better performance on almost all the tasks</b>. The table below shows the results:<br><br>
We first evaluate <b>TableLlama</b> on 8 in-domain test sets. Due to the special semi-structured nature of tables, for most table-based tasks, existing work achieves SOTA results by using pretraining on large-scale tables and/or special model architecture design tailored for tables. Surprisingly, <b>with a unified instruction tuning format without extra special design, <b>TableLlama</b> can achieve comparable or even better performance on almost all the tasks</b>. The table below shows the results:<br><br>
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