From a90cac4e74399d5f00277c1f1101a1e78e6e1055 Mon Sep 17 00:00:00 2001
From: Talk Is Cheap <779222056@qq.com>
Date: Tue, 7 May 2024 09:22:12 +0800
Subject: [PATCH] Update 2024-02-02-textgen-improved-by-ctr.md

---
 research/_posts/2024-02-02-textgen-improved-by-ctr.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/research/_posts/2024-02-02-textgen-improved-by-ctr.md b/research/_posts/2024-02-02-textgen-improved-by-ctr.md
index 314dca6..6f8d251 100644
--- a/research/_posts/2024-02-02-textgen-improved-by-ctr.md
+++ b/research/_posts/2024-02-02-textgen-improved-by-ctr.md
@@ -133,7 +133,7 @@ In order to improve the quality of the generated text, and to improve the RPM, w
 
 We first collect the results from ChatGPT to train our T5 model. We input product title and ask ChatGPT to write product description. The problems with the ChatGPT results are that the available rate of text is 89\% and 11\% of the product description is not suitable for display. So we clean the dataset based on ChatGPT API and train the T5 model with more than 99\% available rate of generated text. We use this generated results of our T5 model as the baseline, which is the Step-1 of Figure \cite{fig1}.
 
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+We have tried putting the product attributes like product type and product tags into the prompts, combined with product title to query ChatGPT, but we do not observe some improvement of text quality and diversity by ChatGPT.
 
 ### 5. Relate Work