Rolf Jagerman
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Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?
Minghan Li
Jimmy Lin
Michael Bendersky
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’24) (2024)
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
Michael Bendersky
Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) (2024)
RD-Suite: A Benchmark for Ranking Distillation
He Zhang
37th Conference on Neural Information Processing Systems (NeurIPS) (2023)
Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance
Pratyush Kar
Bing-Rong Lin
Michael Bendersky
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (2023)
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses
Jianmo Ni
Mike Bendersky
Proc. of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) (2023)
Rax: Composable Learning-to-Rank using JAX
Mike Bendersky
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), 3051–3060
On Optimizing Top-K Metrics for Neural Ranking Models
Mike Bendersky
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (2022), 2303–2307
Bootstrapping Recommendations at Chrome Web Store
Po Hu
Chary Chen
Mike Bendersky
27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2021)
Improving Cloud Storage Search with User Activity
Weize Kong
Mike Bendersky
Proceedings of the 14th International Conference on Web Search and Data Mining (WSDM '21), ACM (2021)
