Update README.md

Author: abhishekkrthakur

README.md

@@ -119,13 +119,16 @@ Documentation is available at https://hf.co/docs/autotrain/
 ## Citation
 
 ```
-@misc{thakur2024autotrainnocodetrainingstateoftheart,
-      title={AutoTrain: No-code training for state-of-the-art models}, 
-      author={Abhishek Thakur},
-      year={2024},
-      eprint={2410.15735},
-      archivePrefix={arXiv},
-      primaryClass={cs.AI},
-      url={https://arxiv.org/abs/2410.15735}, 
+@inproceedings{thakur-2024-autotrain,
+    title = "{A}uto{T}rain: No-code training for state-of-the-art models",
+    author = "Thakur, Abhishek",
+    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
+    month = nov,
+    year = "2024",
+    address = "Miami, Florida, USA",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2024.emnlp-demo.44",
+    pages = "419--423",
+    abstract = "With the advancements in open-source models, training(or finetuning) models on custom datasets has become a crucial part of developing solutions which are tailored to specific industrial or open-source applications. Yet, there is no single tool which simplifies the process of training across different types of modalities or tasks.We introduce AutoTrain(aka AutoTrain Advanced){---}an open-source, no code tool/library which can be used to train (or finetune) models for different kinds of tasks such as: large language model (LLM) finetuning, text classification/regression, token classification, sequence-to-sequence task, finetuning of sentence transformers, visual language model (VLM) finetuning, image classification/regression and even classification and regression tasks on tabular data. AutoTrain Advanced is an open-source library providing best practices for training models on custom datasets. The library is available at https://github.com/huggingface/autotrain-advanced. AutoTrain can be used in fully local mode or on cloud machines and works with tens of thousands of models shared on Hugging Face Hub and their variations.",
 }
 ```