readme

README.md

@@ -1,3 +1,17 @@
 ---
 license: apache-2.0
 ---
+
+Pretrained models for our paper (https://arxiv.org/abs/2210.08431)
+```bibtex
+@inproceedings{wu-etal-2022-modeling,
+    title = "Modeling Context With Linear Attention for Scalable Document-Level Translation",
+    author = "Zhaofeng Wu and Hao Peng and Nikolaos Pappas and Noah A. Smith",
+    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
+    month = dec,
+    year = "2022",
+    publisher = "Association for Computational Linguistics",
+}
+```
+
+Please see the "Files and versions" tab for the models. You can find our IWSLT models and our OpenSubtitles models that are early-stopped based on BLEU and consistency scores, respectively. The `c` part in the checkpoint name refers to the number of context sentences used; it is the same as the sliding window size (the `L` in our paper) minus one.