Update README.md

README.md

@@ -14,6 +14,8 @@ license: apache-2.0
 
 Dolphin 2.6 Mistral 7b - DPO Laser 🐬
 
+By @ehartford and @fernandofernandes
+
 Discord https://discord.gg/SmbBewAM
 
 
@@ -25,8 +27,17 @@ This model is based on Mistral-7b
 
 The base model has 16k context
 
-This is a special release of Dolphin-DPO.
-We have further carried out a noise reduction technique based on SVD decomposition, following the [paper](https://arxiv.org/pdf/2312.13558.pdf) produced @ [Microsoft Research](https://huggingface.co/microsoft/).
+This is a special release of Dolphin-DPO based on the LASER [paper](https://arxiv.org/pdf/2312.13558.pdf) and implementation by @fernandofernandes assisted by @ehartford
+
+```
+@article{sharma2023truth,
+title={The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction},
+author={Sharma, Pratyusha and Ash, Jordan T and Misra, Dipendra},
+journal={arXiv preprint arXiv:2312.13558},
+year={2023} }
+```
+
+We have further carried out a noise reduction technique based on SVD decomposition.
 
 We have adapted this paper on our own version of LASER, using Random Matrix Theory (Marchenko-Pastur theorem) to calculate optimal ranks instead of brute-force search.