Update README.md

README.md

@@ -7,13 +7,18 @@ pipeline_tag: summarization
   <b style="font-size: 40px;">SummLlama3-8B</b>
 </div>
 
-Are you looking for a summarizer that can generate more **human-preferred summaries**?
+Are you looking for a summarizer that can generate more **human-preferred summaries** across multiple domains?
 
 Our **SummLlama3-8B** could be exactly what you need!
 
-SummLlama3 is initialized from Llama3-8B-Instruct, with additional training using Direct Preference Optimization (DPO) based on human-like summarization feedback. 
+SummLlama3 is initialized from Llama3-8B-Instruct, with additional training using Direct Preference Optimization (DPO) based on large-scale (over 100K) summarization feedback. 
 
-It outperforms the nearly 10x larger Llama3-70B-Instruct while offering much faster inference speed.
+The feedback encompasses a wide range of input documents, from short to lengthy texts, including both dialogue and non-dialogue formats, and spans across seven distinct domains:
+
+- Four non-dialouge domains: News, Lifestyle, Report, Medical
+- Three dialogue domains: Daily Life, Interview, Meeting
+
+Surprisingly, it outperforms the nearly 10x larger Llama3-70B-Instruct while offering much faster inference speed.
 
 Please refer to [our paper](link) to catch up how to exploit LLM-generated feedback in the context of text summarization.