Xu, Zhichao, Yan, Jinghua, Gupta, Ashim, and Srikumar, Vivek. State Space Models are Strong Text Rerankers. Retrieved from https://par.nsf.gov/biblio/10630566. Web. doi:10.18653/v1/2025.repl4nlp-1.12.

Xu, Zhichao, Yan, Jinghua, Gupta, Ashim, & Srikumar, Vivek. State Space Models are Strong Text Rerankers. Retrieved from https://par.nsf.gov/biblio/10630566. https://doi.org/10.18653/v1/2025.repl4nlp-1.12

Xu, Zhichao, Yan, Jinghua, Gupta, Ashim, and Srikumar, Vivek. "State Space Models are Strong Text Rerankers". Country unknown/Code not available: Proceedings of the 10th Workshop on Representation Learning for NLP (RepL4NLP 2025), Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.repl4nlp-1.12. https://par.nsf.gov/biblio/10630566.

@article{osti_10630566,
place = {Country unknown/Code not available}, title = {State Space Models are Strong Text Rerankers}, url = {https://par.nsf.gov/biblio/10630566}, DOI = {10.18653/v1/2025.repl4nlp-1.12}, abstractNote = {}, journal = {}, publisher = {Proceedings of the 10th Workshop on Representation Learning for NLP (RepL4NLP 2025), Association for Computational Linguistics}, author = {Xu, Zhichao and Yan, Jinghua and Gupta, Ashim and Srikumar, Vivek}, }