Rolf Jagerman
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
20
Venues
9
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
20 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICTIR | Exposure-Based Reinforcement Learning to Rank. | Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang |
| 2025 | ICLR | Inference Scaling for Long-Context Retrieval Augmented Generation. | Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky |
| 2025 | SIGIR | Optimizing Compound Retrieval Systems. | Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang |
| 2024 | EMNLP | Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. | Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis |
| 2024 | KDD | Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. | Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky |
| 2024 | NAACL | Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. | Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Le Yan, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky |
| 2024 | SIGIR | Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? | Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky |
| 2023 | CIKM | Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. | Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2023 | SIGIR | RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. | Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky |
| 2022 | KDD | Rax: Composable Learning-to-Rank Using JAX. | Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork |
| 2022 | SIGIR | On Optimizing Top-K Metrics for Neural Ranking Models. | Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | KDD | Bootstrapping Recommendations at Chrome Web Store. | Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork |
| 2021 | WSDM | Improving Cloud Storage Search with User Activity. | Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork |
| 2020 | WWW | Unbiased Learning to Rank: Counterfactual and Online Approaches. | Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke |
| 2020 | SIGIR | Accelerated Convergence for Counterfactual Learning to Rank. | Rolf Jagerman, Maarten de Rijke |
| 2019 | SIGIR | To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. | Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke |
| 2019 | SIGIR | Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. | Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke |
| 2019 | WSDM | When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments. | Rolf Jagerman, Ilya Markov, Maarten de Rijke |
| 2017 | ICTIR | Query-Level Ranker Specialization. | Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke |
| 2017 | SIGIR | Computing Web-scale Topic Models using an Asynchronous Parameter Server. | Rolf Jagerman, Carsten Eickhoff, Maarten de Rijke |