Update README.md

README.md

@@ -10,4 +10,19 @@ metrics:
 - dcg@10
 - ndcg@10
 - mrr@10
----
+---
+
+# Naive Listwise MonoBERT trained on Baidu-ULTR
+A flax-based MonoBERT cross encoder trained on the Baidu-ULTR dataset with a **listwise softmax cross-entropy loss on clicks**. The loss is called "naive" as we use user clicks as a signal of relevance without any additional position bias correction. For more info, read our paper here.
+
+## Usage
+```
+
+```
+
+## Test Results on Baidu-ULTR Expert Annotations
+
+| Model               | log-likelihood | DCG@1  | DCG@3  | DCG@5  | DCG@10 | nDCG@10 | MRR@10 |
+|---------------------|----------------|--------|--------|--------|--------|---------|--------|
+| Naive Pointwise     | 0.2272         | 1.6836 | 3.5616 | 4.8822 | 7.4244 | 0.3640  | 0.6096 |
+| **Naive Listwise**  | -              | 1.9738 | 4.1609 | 5.6861 | 8.5432 | 0.4091  | 0.6436 |