Update README.md

README.md

@@ -54,7 +54,7 @@ model-index:
 FollowIR-7B is an instruction-tuned language model to be used for reranking in retrieval. It is [Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) fine-tuned on retrieval data with instructions from the FollowIR dataset. These instructions were taken from TREC tracks and are human written. FollowIR-7B outperforms all other retrieval models at following instructions. See the paper for more details.
 
 - **Repository:** [orionw/mteb-instruct](https://github.com/orionw/mteb-instruct)
-- **Paper:** TODO
+- **Paper:** https://arxiv.org/abs/2403.15246 
 - **Instruction-Training Dataset:** [jhu-clsp/followir-training-set](https://huggingface.co/datasets/jhu-clsp/FollowIR-training-set)
 
 
@@ -149,5 +149,12 @@ accelerate launch src/train_bash.py \
 # Citation
 
 ```bibtex
-TODO
+@misc{weller2024followir,
+      title={FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions}, 
+      author={Orion Weller and Benjamin Chang and Sean MacAvaney and Kyle Lo and Arman Cohan and Benjamin Van Durme and Dawn Lawrie and Luca Soldaini},
+      year={2024},
+      eprint={2403.15246},
+      archivePrefix={arXiv},
+      primaryClass={cs.IR}
+}
 ```