Update README.md

README.md

@@ -45,6 +45,9 @@ Check out our paper for more details:
 Sina J. Semnani, Violet Z. Yao*, Heidi C. Zhang*, and Monica S. Lam. 2023. [WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia](https://arxiv.org/abs/2305.14292). In Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore. Association for Computational Linguistics.
 
 ## 🚨 **Announcements** 
+- (June 20, 2024) WikiChat won the 2024 Wikimedia Research Award!
+  <blockquote class="twitter-tweet"><p lang="en" dir="ltr">The <a href="https://twitter.com/Wikimedia?ref_src=twsrc%5Etfw">@Wikimedia</a> Research Award of the Year 2024 goes to &quot;WikiChat: Stopping the hallucination of large language model chatbots by few-shot grounding on Wikipedia&quot; ⚡<br><br>📜 <a href="https://t.co/d2M8Qrarkw">https://t.co/d2M8Qrarkw</a> <a href="https://t.co/P2Sh47vkyi">pic.twitter.com/P2Sh47vkyi</a></p>&mdash; Wiki Workshop 2024 (@wikiworkshop) <a href="https://twitter.com/wikiworkshop/status/1803793163665977481?ref_src=twsrc%5Etfw">June 20, 2024</a></blockquote>
+
 - (May 16, 2024) Our follow-up paper _"SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing"_ is accepted to the Findings of ACL 2024. Its code will be released here soon!
 - (January 8, 2024) Distilled LLaMA-2 models are released. You can run these models locally for a cheaper and faster alternative to paid APIs.
 - (December 8, 2023) We present our work at EMNLP 2023.