Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,48 @@
|
|
1 |
-
---
|
2 |
-
license: apache-2.0
|
3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model:
|
4 |
+
- google/electra-base-discriminator
|
5 |
+
pipeline_tag: text-ranking
|
6 |
+
tags:
|
7 |
+
- cross-encoder
|
8 |
+
library_name: lightning-ir
|
9 |
+
---
|
10 |
+
|
11 |
+
# Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders
|
12 |
+
|
13 |
+
This model is presented in the paper [Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders](https://huggingface.co/papers/2404.06912). It's a cross-encoder architecture designed for efficient and permutation-invariant passage re-ranking.
|
14 |
+
|
15 |
+
Code: https://github.com/webis-de/set-encoder
|
16 |
+
|
17 |
+
We provide the following fine-tuned models for novelty-aware re-ranking.
|
18 |
+
|
19 |
+
To reproduce the results, run the following command using the [Lightning IR](https://github.com/webis-de/lightning-ir) library and the configuration files from the repository repository linked above:
|
20 |
+
|
21 |
+
```bash
|
22 |
+
lightning-ir re_rank --config ./configs/re-rank-novelty.yaml --model.model_name_or_path <MODEL_NAME>
|
23 |
+
```
|
24 |
+
|
25 |
+
(alpha nDCG@10, alpha=0.99 on TREC DL 19 and TREC DL 20)
|
26 |
+
|
27 |
+
| Model Name | TREC DL 19 (BM25) | TREC DL 20 (BM25) | TREC DL 19 (ColBERTv2) | TREC DL 20 (ColBERTv2) |
|
28 |
+
| ---------------------------------------------------------------------------------------- | ----------------- | ----------------- | ---------------------- | ---------------------- |
|
29 |
+
| [webis/set-encoder-novelty-base](https://huggingface.co/webis/set-encoder-novelty-base) | 0.805 | 0.721 | 0.821 | 0.803 |
|
30 |
+
|
31 |
+
|
32 |
+
## Citation
|
33 |
+
|
34 |
+
If you use this code or the models in your research, please cite our paper:
|
35 |
+
|
36 |
+
```bibtex
|
37 |
+
@InProceedings{schlatt:2025,
|
38 |
+
address = {Berlin Heidelberg New York},
|
39 |
+
author = {Ferdinand Schlatt and Maik Fr{\"o}be and Harrisen Scells and Shengyao Zhuang and Bevan Koopman and Guido Zuccon and Benno Stein and Martin Potthast and Matthias Hagen},
|
40 |
+
booktitle = {Advances in Information Retrieval. 47th European Conference on IR Research (ECIR 2025)},
|
41 |
+
doi = {10.1007/978-3-031-88711-6_1},
|
42 |
+
month = apr,
|
43 |
+
publisher = {Springer},
|
44 |
+
series = {Lecture Notes in Computer Science},
|
45 |
+
site = {Lucca, Italy},
|
46 |
+
title = {{Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders}},
|
47 |
+
year = 2025
|
48 |
+
}
|