Update README.md

README.md

@@ -27,7 +27,7 @@ The resulting detoxification model demonstrates high fluency and content preserv
 ### Model Sources [optional]
 
 - **Repository (Code & Data):** [https://github.com/s-nlp/pseudoparadetox](https://github.com/s-nlp/pseudoparadetox)
-- **Paper:** "LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification" (Moskovskiy, Pletenev, \& Panchenko, EMNLP XXXX)
+- **Paper:** "LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification" (Moskovskiy, Pletenev, \& Panchenko, EMNLP 2024)
 
 ## Uses
 
@@ -157,8 +157,4 @@ While automatic metrics show comparable performance, the superior Manual Joint S
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 **APA:**
-Moskovskiy, D., Pletenev, S., & Panchenko, A. (2024, November). Llms to replace crowdsourcing for parallel data creation? the case of text detoxification. In Findings of the Association for Computational Linguistics: EMNLP 2024 (pp. 14361-14373).
-
-## Model Card Contact
-
-[https://huggingface.co/etomoscow]
+Moskovskiy, D., Pletenev, S., & Panchenko, A. (2024, November). Llms to replace crowdsourcing for parallel data creation? the case of text detoxification. In Findings of the Association for Computational Linguistics: EMNLP 2024 (pp. 14361-14373).