Rolf Jagerman - RankMe

41 papers A* 14A 3Journal 20Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Inference Scaling for Long-Context Retrieval Augmented Generation. ICLR Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky
2025	A*	`conf`	Optimizing Compound Retrieval Systems. SIGIR Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
2025	J	`jnl`	Optimizing Compound Retrieval Systems. CoRR Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang
2024	A*	`conf`	Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? SIGIR Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
2024	A*	`conf`	Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. EMNLP Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis
2024	J	`jnl`	Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. CoRR Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis
2024	J	`jnl`	Inference Scaling for Long-Context Retrieval Augmented Generation. CoRR Zhenrui Yue, Honglei Zhuang, Aijun Bai, Kai Hui, Rolf Jagerman, Hansi Zeng, Zhen Qin, Dong Wang, Xuanhui Wang, Michael Bendersky
2024	—	`conf`	Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. NAACL-HLT (Findings) 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	A*	`conf`	Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. KDD Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
2024	J	`jnl`	Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. CoRR Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers. CoRR Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. CoRR Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Query Expansion by Prompting Large Language Models. CoRR Rolf Jagerman, Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky
2023	A*	`conf`	RD-Suite: A Benchmark for Ranking Distillation. NeurIPS Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
2023	J	`jnl`	RD-Suite: A Benchmark for Ranking Distillation. CoRR Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi, Honglei Zhuang, He Zhang, Aijun Bai, Kai Hui, Le Yan, Xuanhui Wang
2023	A*	`conf`	RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. SIGIR Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
2023	A	`conf`	Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A*	`conf`	On Optimizing Top-K Metrics for Neural Ranking Models. SIGIR Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	J	`jnl`	RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. CoRR Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
2022	A*	`conf`	Rax: Composable Learning-to-Rank Using JAX. KDD Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork
2022	J	`jnl`	Regression Compatible Listwise Objectives for Calibrated Ranking. CoRR Aijun Bai, Rolf Jagerman, Zhen Qin, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	A*	`conf`	Bootstrapping Recommendations at Chrome Web Store. KDD Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	A	`conf`	Improving Cloud Storage Search with User Activity. WSDM Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork
2020	A*	`conf`	Accelerated Convergence for Counterfactual Learning to Rank. SIGIR Rolf Jagerman, Maarten de Rijke
2020	J	`jnl`	Accelerated Convergence for Counterfactual Learning to Rank. CoRR Rolf Jagerman, Maarten de Rijke
2020	J	`jnl`	Safe Exploration for Optimizing Contextual Bandits. CoRR Rolf Jagerman, Ilya Markov, Maarten de Rijke
2020	J	`jnl`	Safe Exploration for Optimizing Contextual Bandits. ACM Trans. Inf. Syst. Rolf Jagerman, Ilya Markov, Maarten de Rijke
2020	—	`conf`	Unbiased Learning to Rank: Counterfactual and Online Approaches. WWW (Companion Volume) Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
2019	A*	`conf`	Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning. SIGIR Claudio Lucchese, Franco Maria Nardini, Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang, Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
2019	A*	`conf`	To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. SIGIR Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke
2019	J	`jnl`	To Model or to Intervene: A Comparison of Counterfactual and Online Learning to Rank from User Interactions. CoRR Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke
2019	J	`jnl`	Unbiased Learning to Rank: Counterfactual and Online Approaches. CoRR Harrie Oosterhuis, Rolf Jagerman, Maarten de Rijke
2019	A	`conf`	When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments. WSDM Rolf Jagerman, Ilya Markov, Maarten de Rijke
2018	J	`jnl`	OpenSearch: Lessons Learned from an Online Evaluation Campaign. ACM J. Data Inf. Qual. Rolf Jagerman, Krisztian Balog, Maarten de Rijke
2017	A*	`conf`	Computing Web-scale Topic Models using an Asynchronous Parameter Server. SIGIR Rolf Jagerman, Carsten Eickhoff, Maarten de Rijke
2017	J	`jnl`	Modeling Label Ambiguity for Neural List-Wise Learning to Rank. CoRR Rolf Jagerman, Julia Kiseleva, Maarten de Rijke
2017	—	`conf`	Overview of TREC OpenSearch 2017. TREC Rolf Jagerman, Krisztian Balog, Philipp Schaer, Johann Schaible, Narges Tavakolpoursaleh, Maarten de Rijke
2017	—	`conf`	Query-Level Ranker Specialization. LEARNER@ICTIR Rolf Jagerman, Harrie Oosterhuis, Maarten de Rijke
2016	J	`jnl`	Web-scale Topic Models in Spark: An Asynchronous Parameter Server. CoRR Rolf Jagerman, Carsten Eickhoff
2015	J	`jnl`	A Directional Diffusion Algorithm for Inpainting. CoRR Jan Deriu, Rolf Jagerman, Kai-En Tsay
2014	J	`jnl`	The fifteen year struggle of decentralizing privacy-enhancing technology. CoRR Rolf Jagerman, Wendo Sabée, Laurens Versluis, Martijn de Vos, Johan A. Pouwelse