webis/set-encoder-base
212k
1---2license: apache-2.03pipeline_tag: text-ranking4library_name: lightning-ir5base_model:6- google/electra-base-discriminator7tags:8- cross-encoder9---10 11# Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders12 13This 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 15Code: https://github.com/webis-de/set-encoder16 17We provide the following pre-trained models for general-purpose re-ranking.18 19To 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```bash22lightning-ir re_rank --config ./configs/re-rank.yaml --model.model_name_or_path <MODEL_NAME>23```24 25(nDCG@10 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-base](https://huggingface.co/webis/set-encoder-base) | 0.746 | 0.704 | 0.781 | 0.768 |30| [webis/set-encoder-large](https://huggingface.co/webis/set-encoder-large) | 0.750 | 0.722 | 0.789 | 0.791 |31 32 33## Citation34 35If you use this code or the models in your research, please cite our paper:36 37```bibtex38@InProceedings{schlatt:2025,39 address = {Berlin Heidelberg New York},40 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},41 booktitle = {Advances in Information Retrieval. 47th European Conference on IR Research (ECIR 2025)},42 doi = {10.1007/978-3-031-88711-6_1},43 month = apr,44 publisher = {Springer},45 series = {Lecture Notes in Computer Science},46 site = {Lucca, Italy},47 title = {{Set-Encoder: Permutation-Invariant Inter-Passage Attention for Listwise Passage Re-Ranking with Cross-Encoders}},48 year = 202549}