feature: add news section and reformat home page (#4)

* feature: add news section and reformat home page * Update index.md Co-authored-by: Jiawei Liu <[email protected]> * Update index.md Co-authored-by: Jiawei Liu <[email protected]> * Update index.md Co-authored-by: Yuxiang Wei <[email protected]> * feature: add ddl info in news --------- Co-authored-by: Jiawei Liu <[email protected]> Co-authored-by: Yuxiang Wei <[email protected]>
llm4code · Oct 11, 2023 · 26906d4 · 26906d4
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 # Feel free to add content and custom Front Matter to this file.
 # To modify the layout, see https://jekyllrb.com/docs/themes/#overriding-theme-defaults
 
-title: About
+title: Home
 layout: home
 ---
 
@@ -25,6 +25,14 @@ Workshop(
   </picture>
 </p>
 
+<!-- We are pleased to announce that the 1st International Workshop on Large Language Models for Code (**LLM4Code**) will take place in Lisbon, co-located with [ICSE 2024](https://conf.researchr.org/home/icse-2024)! The submission deadline is **Dec 7th**, 2023. You can submit through [this link](https://llm4code2024.hotcrp.com/). -->
+
+## News
+- **Oct 11, 2023** Our [HotCRP site](https://llm4code2024.hotcrp.com/) is ready for your submissions! (Submission deadline: **Dec 7th**, 2023)
+- **Oct 11, 2023** Follow us on Twitter/X ([@llm4code](https://twitter.com/llm4code)) to hear timely updates!
+
+## About
+
 Large Language Models (LLMs), which are large-scale models being trained on massive textual corpora, have achieved significant advances in various domains, including Software Engineering (SE). Recently, there is a growing interest in applying LLMs to assist software development and maintenance, such as code generation and comprehension, test generation, as well as program repair. Although the application of LLMs on code-relevant tasks has shown very promising performance, there is a huge potential to further explore this growing domain. 
 
 The motivation of this workshop is to provide a platform for academics and practitioners to discuss and share their ideas on applying and developing LLMs to solve code-relevant problems in SE activities. This workshop is concerned with the research on