From 792395d47c86a9048642873761c58f9e32ca0567 Mon Sep 17 00:00:00 2001 From: TIANSHU ZHANG <814553853@qq.com> Date: Tue, 21 Nov 2023 21:00:50 -0500 Subject: [PATCH] Update index.html --- index.html | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/index.html b/index.html index 8e63b3c..f6f81fc 100644 --- a/index.html +++ b/index.html @@ -556,7 +556,7 @@

Data Statistics

In-domain Evaluation

- We first evaluate TableLlama 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, with a unified format and no extra special design, TableLlama can achieve comparable or even better performance on almost all the tasks. The table below shows the results:

+ We first evaluate TableLlama 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, with a unified instruction tuning format without extra special design, TableLlama can achieve comparable or even better performance on almost all the tasks. The table below shows the results: