Michael Bendersky

186 papers A* 58A 23Misc 6Journal 76Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KARL: Knowledge Agents via Reinforcement Learning. CoRR Jonathan D. Chang, Andrew Drozdov, Shubham Toshniwal, Owen Oertell, Alexander Trott, Jacob P. Portes, Abhay Gupta, Pallavi Koppol, Ashutosh Baheti, Sean Kulinski, Ivan Zhou, Irene Dea, Krista Opsahl-Ong, Simon Favreau-Lessard, Sean Owen, Jose Javier Gonzalez Ortiz, Arnav Singhvi, Xabi Andrade, Cindy Wang, Kartik Sreenivasan, Sam Havens, Jialu Liu, Peyton DeNiro, Wen Sun, Michael Bendersky, Jonathan Frankle
2026	J	`jnl`	OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning. CoRR Krista Opsahl-Ong, Arnav Singhvi, Jasmine Collins, Ivan Zhou, Cindy Wang, Ashutosh Baheti, Owen Oertell, Jacob Portes, Sam Havens, Erich Elsen, Michael Bendersky, Matei Zaharia, Xing Chen
2026	A*	`conf`	Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering. WWW Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Zhuowan Li, Spurthi Amba Hombaiah, Weize Kong, Tao Chen, Hamed Zamani, Michael Bendersky
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	J	`jnl`	Pathways of Thoughts: Multi-Directional Thinking for Long-form Personalized Question Answering. CoRR Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Zhuowan Li, Spurthi Amba Hombaiah, Weize Kong, Tao Chen, Hamed Zamani, Michael Bendersky
2025	J	`jnl`	Predicting Task Performance with Context-aware Scaling Laws. CoRR Kyle Montgomery, David Park, Jianhong Tu, Michael Bendersky, Beliz Gunel, Dawn Song, Chenguang Wang
2025	J	`jnl`	Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation. CoRR Alireza Salemi, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Tao Chen, Zhuowan Li, Michael Bendersky, Hamed Zamani
2025	J	`jnl`	Refract ICL: Rethinking Example Selection in the Era of Million-Token Models. CoRR Arjun R. Akula, Kazuma Hashimoto, Krishna Srinivasan, Aditi Chaudhary, Karthik Raman, Michael Bendersky
2024	—	`conf`	Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. NAACL (Short Papers) Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
2024	J	`jnl`	Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. CoRR Jiaming Shen, Ran Xu, Yennie Jun, Zhen Qin, Tianqi Liu, Carl Yang, Yi Liang, Simon Baumgartner, Michael Bendersky
2024	—	`conf`	Bridging the Preference Gap between Retrievers and LLMs. ACL (1) Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	J	`jnl`	Bridging the Preference Gap between Retrievers and LLMs. CoRR Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
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	—	`conf`	Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. ACL (1) Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
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	J	`jnl`	Integrating Planning into Single-Turn Long-Form Text Generation. CoRR Yi Liang, You Wu, Honglei Zhuang, Li Chen, Jiaming Shen, Yiling Jia, Zhen Qin, Sumit Sanghai, Xuanhui Wang, Carl Yang, Michael Bendersky
2024	—	`conf`	It's All Relative! - A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction. NAACL-HLT (Findings) Aditi Chaudhary, Karthik Raman, Michael Bendersky
2024	A*	`conf`	Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. KDD Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
2024	—	`conf`	LaMP: When Large Language Models Meet Personalization. ACL (1) Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani
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`	Learning to Rewrite Prompts for Personalized Text Generation. WWW Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky
2024	J	`jnl`	MLAN: Language-Based Instruction Tuning Improves Zero-Shot Generalization of Multimodal Large Language Models. CoRR Jianhong Tu, Zhuohao Ni, Nicholas Crispino, Zihao Yu, Michael Bendersky, Beliz Gunel, Ruoxi Jia, Xin Liu, Lingjuan Lyu, Dawn Song, Chenguang Wang
2024	—	`conf`	Multilingual Fine-Grained News Headline Hallucination Detection. EMNLP (Findings) Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky
2024	J	`jnl`	Multilingual Fine-Grained News Headline Hallucination Detection. CoRR Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky
2024	J	`jnl`	Multimodal Reranking for Knowledge-Intensive Visual Question Answering. CoRR Haoyang Wen, Honglei Zhuang, Hamed Zamani, Alexander Hauptmann, Michael Bendersky
2024	A*	`conf`	Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity. ICML Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu
2024	—	`conf`	PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. ACL (Findings) Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
2024	J	`jnl`	PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. CoRR Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
2024	—	`conf`	PRewrite: Prompt Rewriting with Reinforcement Learning. ACL (Short Papers) Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	J	`jnl`	PRewrite: Prompt Rewriting with Reinforcement Learning. CoRR Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	—	`conf`	Predicting Text Preference Via Structured Comparative Reasoning. ACL (1) Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, 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
2024	—	`conf`	Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach. EMNLP (Industry Track) Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	J	`jnl`	Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach. CoRR Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	—	`ch.`	Searching Personal Collections. Information Retrieval: Advanced Topics and Techniques Michael Bendersky, Donald Metzler, Marc Najork, Xuanhui Wang
2024	J	`jnl`	Searching Personal Collections. CoRR Michael Bendersky, Donald Metzler, Marc Najork, Xuanhui Wang
2024	A*	`conf`	Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization. SIGIR Hamed Zamani, Michael Bendersky
2024	J	`jnl`	Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization. CoRR Hamed Zamani, Michael Bendersky
2024	—	`conf`	Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning. NAACL-HLT Kazuma Hashimoto, Karthik Raman, Michael Bendersky
2024	A*	`conf`	The Second Workshop on Large Language Models for Individuals, Groups, and Society. SIGIR Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang
2024	J	`jnl`	Unlocking the 'Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience. CoRR Tao Chen, Siqi Zuo, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
2024	A	`conf`	WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. WSDM Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang
2023	J	`jnl`	"Why is this misleading?": Detecting News Headline Hallucinations with Explanations. CoRR Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Michael Bendersky, Marc Najork
2023	J	`jnl`	A Graphical Calibration Method for a Water Quality Model Considering Process Variability Versus Delay Time: Theory and a Case Study. Comput. Eyal Brill, Michael Bendersky
2023	J	`jnl`	Ambiguity-Aware In-Context Learning with Large Language Models. CoRR Lingyu Gao, Aditi Chaudhary, Krishna Srinivasan, Kazuma Hashimoto, Karthik Raman, Michael Bendersky
2023	J	`jnl`	Automated Evaluation of Personalized Text Generation using Large Language Models. CoRR Yaqing Wang, Jiepu Jiang, Mingyang Zhang, Cheng Li, Yi Liang, Qiaozhu Mei, Michael Bendersky
2023	J	`jnl`	Automatic Prompt Rewriting for Personalized Text Generation. CoRR Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky
2023	J	`jnl`	Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. CoRR Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
2023	—	`conf`	Creator Context for Tweet Recommendation. EMNLP (Industry Track) Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin
2023	J	`jnl`	Creator Context for Tweet Recommendation. CoRR Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin
2023	J	`jnl`	Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation. CoRR Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
2023	A*	`conf`	End-to-End Query Term Weighting. KDD Karan Samel, Cheng Li, Weize Kong, Tao Chen, Mingyang Zhang, Shaleen Kumar Gupta, Swaraj Khadanga, Wensong Xu, Xingyu Wang, Kashyap Kolipaka, Michael Bendersky, Marc Najork
2023	J	`jnl`	Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. CoRR Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, 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`	It's All Relative! - A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction. CoRR Aditi Chaudhary, Karthik Raman, Michael Bendersky
2023	—	`conf`	Job Type Extraction for Service Businesses. WWW (Companion Volume) Cheng Li, Yaping Qi, Hayk Zakaryan, Mingyang Zhang, Michael Bendersky, Yonghua Wu, Marc Najork
2023	—	`conf`	LLMs to the Moon? Reddit Market Sentiment Analysis with Large Language Models. WWW (Companion Volume) Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky
2023	J	`jnl`	LaMP: When Large Language Models Meet Personalization. CoRR Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani
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	A*	`conf`	Learning List-Level Domain-Invariant Representations for Ranking. NeurIPS Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
2023	A	`conf`	Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval. CIKM Jeffrey M. Dudek, Weize Kong, Cheng Li, Mingyang Zhang, Michael Bendersky
2023	A*	`conf`	Metric-agnostic Ranking Optimization. SIGIR Qingyao Ai, Xuanhui Wang, Michael Bendersky
2023	J	`jnl`	Metric-agnostic Ranking Optimization. CoRR Qingyao Ai, Xuanhui Wang, Michael Bendersky
2023	A*	`conf`	Multivariate Representation Learning for Information Retrieval. SIGIR Hamed Zamani, Michael Bendersky
2023	J	`jnl`	Multivariate Representation Learning for Information Retrieval. CoRR Hamed Zamani, Michael Bendersky
2023	J	`jnl`	Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling. CoRR Yaqing Wang, Jialin Wu, Tanmaya Dabral, Jiageng Zhang, Geoff Brown, Chun-Ta Lu, Frederick Liu, Yi Liang, Bo Pang, Michael Bendersky, Radu Soricut
2023	J	`jnl`	On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. CoRR Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Yao Zhao, Charu Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, 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`	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
2023	A*	`conf`	SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023). SIGIR Michael Bendersky, Danqi Chen, Fernando Diaz, Hamed Zamani
2023	A*	`conf`	SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. KDD Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky
2023	J	`jnl`	SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. CoRR Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky
2023	A*	`conf`	SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval. SIGIR Weize Kong, Jeffrey M. Dudek, Cheng Li, Mingyang Zhang, Michael Bendersky
2023	J	`jnl`	Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning. CoRR Kazuma Hashimoto, Karthik Raman, Michael Bendersky
2023	J	`jnl`	Teach LLMs to Personalize - An Approach inspired by Writing Education. CoRR Cheng Li, Mingyang Zhang, Qiaozhu Mei, Yaqing Wang, Spurthi Amba Hombaiah, Yi Liang, Michael Bendersky
2023	A*	`conf`	Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
2023	—	`conf`	What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis. WWW (Companion Volume) Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky
2022	J	`jnl`	Learning List-Level Domain-Invariant Representations for Ranking. CoRR Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
2022	A*	`conf`	Multi-Aspect Dense Retrieval. KDD Weize Kong, Swaraj Khadanga, Cheng Li, Shaleen Kumar Gupta, Mingyang Zhang, Wensong Xu, Michael Bendersky
2022	A*	`conf`	On Optimizing Top-K Metrics for Neural Ranking Models. SIGIR Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	—	`conf`	Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models. ECIR (1) Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork
2022	J	`jnl`	Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models. CoRR Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork
2022	—	`conf`	QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation. EMNLP (Industry Track) Krishna Srinivasan, Karthik Raman, Anupam Samanta, Lingrui Liao, Luca Bertelli, Michael Bendersky
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
2022	A*	`conf`	Retrieval-Enhanced Machine Learning. SIGIR Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky
2022	J	`jnl`	Retrieval-Enhanced Machine Learning. CoRR Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky
2022	A*	`conf`	Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A*	`conf`	Scale Calibration of Deep Ranking Models. KDD Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	A	`conf`	Search and Discovery in Personal Email Collections. WSDM Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
2022	Misc	`conf`	Stochastic Retrieval-Conditioned Reranking. ICTIR Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang
2022	J	`jnl`	Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. CoRR Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
2022	J	`jnl`	What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis. CoRR Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky
2021	A*	`conf`	Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, 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	J	`jnl`	Born Again Neural Rankers. CoRR Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	A*	`conf`	Cross-Positional Attention for Debiasing Clicks. WWW Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen
2021	A*	`conf`	Diversification-Aware Learning to Rank using Distributed Representation. WWW Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky
2021	A*	`conf`	Dynamic Language Models for Continuously Evolving Content. KDD Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Dynamic Language Models for Continuously Evolving Content. CoRR Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork
2021	Misc	`conf`	Ensemble Distillation for BERT-Based Ranking Models. ICTIR Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Fire support with Gaussian estimation of environmental conditions based on single or multiple target registration. J. Oper. Res. Soc. Michael Bendersky, Israel David, Dor Elboim
2021	A	`conf`	Improving Cloud Storage Search with User Activity. WSDM Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork
2021	A	`conf`	Interpretable Ranking with Generalized Additive Models. WSDM Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian
2021	J	`jnl`	LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding. CoRR Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky
2021	A	`conf`	Natural Language Understanding with Privacy-Preserving BERT. CIKM Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Privacy-Adaptive BERT for Natural Language Understanding. CoRR Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2021	J	`jnl`	Search and Discovery in Personal Email Collections. Found. Trends Inf. Retr. Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
2021	A*	`conf`	WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. SIGIR Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
2021	J	`jnl`	WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. CoRR Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
2020	A	`conf`	A Stochastic Treatment of Learning to Rank Scoring Functions. WSDM Sebastian Bruch, Shuguang Han, Michael Bendersky, Marc Najork
2020	A*	`conf`	Adversarial Bandits Policy for Crawling Commercial Web Content. WWW Shuguang Han, Michael Bendersky, Przemek Gajda, Sergey Novikov, Marc Najork, Bernhard Brodowsky, Alexandrin Popescul
2020	J	`jnl`	Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching. CoRR Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
2020	A	`conf`	Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching. CIKM Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
2020	J	`jnl`	DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling. CoRR Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
2020	—	`conf`	DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling. EMNLP (Findings) Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
2020	A*	`conf`	Feature Transformation for Neural Ranking Models. SIGIR Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2020	J	`jnl`	Interpretable Learning-to-Rank with Generalized Additive Models. CoRR Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian
2020	A*	`conf`	Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs. KDD Weize Kong, Michael Bendersky, Marc Najork, Brandon Vargo, Mike Colagrosso
2020	J	`jnl`	Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach. CoRR Saar Kuzi, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
2020	A*	`conf`	Matching Cross Network for Learning to Rank in Personal Search. WWW Zhen Qin, Zhongliang Li, Michael Bendersky, Donald Metzler
2020	Misc	`conf`	Permutation Equivariant Document Interaction Network for Neural Learning to Rank. ICTIR Rama Kumar Pasumarthi, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
2020	J	`jnl`	RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble. CoRR Michael Bendersky, Honglei Zhuang, Ji Ma, Shuguang Han, Keith B. Hall, Ryan T. McDonald
2019	A*	`conf`	Addressing Trust Bias for Unbiased Learning-to-Rank. WWW Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
2019	Misc	`conf`	An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance. ICTIR Sebastian Bruch, Xuanhui Wang, Michael Bendersky, Marc Najork
2019	A*	`conf`	Domain Adaptation for Enterprise Email Search. SIGIR Brandon Tran, Maryam Karimzadehgan, Rama Kumar Pasumarthi, Michael Bendersky, Donald Metzler
2019	J	`jnl`	Domain Adaptation for Enterprise Email Search. CoRR Brandon Tran, Maryam Karimzadehgan, Rama Kumar Pasumarthi, Michael Bendersky, Donald Metzler
2019	Misc	`conf`	Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks. ICTIR Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork
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`	Multi-view Embedding-based Synonyms for Email Search. SIGIR Cheng Li, Mingyang Zhang, Michael Bendersky, Hongbo Deng, Donald Metzler, Marc Najork
2019	Misc	`conf`	Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial. ICTIR Rama Kumar Pasumarthi, Sebastian Bruch, Michael Bendersky, Xuanhui Wang
2019	A*	`conf`	Personalized Online Spell Correction for Personal Search. WWW Jai Prakash Gupta, Zhen Qin, Michael Bendersky, Donald Metzler
2019	A*	`conf`	Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks. SIGIR Sebastian Bruch, Masrour Zoghi, Michael Bendersky, Marc Najork
2019	J	`jnl`	Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking. CoRR Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
2019	A*	`conf`	Semantic Text Matching for Long-Form Documents. WWW Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork
2019	A*	`conf`	TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. KDD Rama Kumar Pasumarthi, Sebastian Bruch, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf
2018	J	`jnl`	Learning Groupwise Scoring Functions Using Deep Neural Networks. CoRR Qingyao Ai, Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Marc Najork
2018	A*	`conf`	Learning with Sparse and Biased Feedback for Personal Search. IJCAI Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
2018	A	`conf`	Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CIKM Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
2018	J	`jnl`	Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. CoRR Jiaming Shen, Maryam Karimzadehgan, Michael Bendersky, Zhen Qin, Donald Metzler
2018	J	`jnl`	Offline Comparison of Ranking Functions using Randomized Data. CoRR Aman Agarwal, Xuanhui Wang, Cheng Li, Michael Bendersky, Marc Najork
2018	A	`conf`	Position Bias Estimation for Unbiased Learning to Rank in Personal Search. WSDM Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork
2018	A*	`conf`	Semantic Location in Email Query Suggestion. SIGIR John Foley, Mingyang Zhang, Michael Bendersky, Marc Najork
2018	J	`jnl`	TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank. CoRR Rama Kumar Pasumarthi, Xuanhui Wang, Cheng Li, Sebastian Bruch, Michael Bendersky, Marc Najork, Jan Pfeifer, Nadav Golbandi, Rohan Anil, Stephan Wolf
2018	A	`conf`	The LambdaLoss Framework for Ranking Metric Optimization. CIKM Xuanhui Wang, Cheng Li, Nadav Golbandi, Michael Bendersky, Marc Najork
2017	A	`conf`	Learning from User Interactions in Personal Search via Attribute Parameterization. WSDM Michael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork
2017	A	`conf`	Related Event Discovery. WSDM Cheng Li, Michael Bendersky, Vijay Garg, Sujith Ravi
2017	A*	`conf`	Situational Context for Ranking in Personal Search. WWW Hamed Zamani, Michael Bendersky, Xuanhui Wang, Mingyang Zhang
2016	J	`jnl`	Deciding kidney-offer admissibility dependent on patients' lifetime failure rate. Eur. J. Oper. Res. Michael Bendersky, Israel David
2016	A	`conf`	Hierarchical Label Propagation and Discovery for Machine Generated Email. WSDM James B. Wendt, Michael Bendersky, Lluis Garcia Pueyo, Vanja Josifovski, Balint Miklos, Ivo Krka, Amitabh Saikia, Jie Yang, Marc-Allen Cartright, Sujith Ravi
2016	A*	`conf`	Learning to Rank with Selection Bias in Personal Search. SIGIR Xuanhui Wang, Michael Bendersky, Donald Metzler, Marc Najork
2016	J	`jnl`	Semantic Video Trailers. CoRR Harrie Oosterhuis, Sujith Ravi, Michael Bendersky
2015	J	`jnl`	A Fast Algorithm for Scheduling Detection-and-Rescue Operations Based on Data from Wireless Sensor Networks. Res. Comput. Sci. Boris Kriheli, Eugene Levner, Michael Bendersky, Eduard H. Yakubov
2015	A*	`conf`	Information Retrieval with Verbose Queries. SIGIR Manish Gupta, Michael Bendersky
2015	J	`jnl`	Information Retrieval with Verbose Queries. Found. Trends Inf. Retr. Manish Gupta, Michael Bendersky
2015	A*	`conf`	Learning to Extract Local Events from the Web. SIGIR John Foley, Michael Bendersky, Vanja Josifovski
2014	A*	`conf`	Up next: retrieval methods for large scale related video suggestion. KDD Michael Bendersky, Lluis Garcia Pueyo, Jeremiah J. Harmsen, Vanja Josifovski, Dima Lepikhin
2013	A	`conf`	Two-Stage Learning to Rank for Information Retrieval. ECIR Van Dang, Michael Bendersky, W. Bruce Croft
2012	—	`conf`	A Dictionary of Wisdom and Wit: Learning to Extract Quotable Phrases. CLfL@NAACL-HLT Michael Bendersky, David A. Smith
2012	A	`conf`	Effective query formulation with multiple information sources. WSDM Michael Bendersky, Donald Metzler, W. Bruce Croft
2012	J	`jnl`	Information retrieval with query hypergraphs. SIGIR Forum Michael Bendersky
2012	A*	`conf`	Modeling higher-order term dependencies in information retrieval using query hypergraphs. SIGIR Michael Bendersky, W. Bruce Croft
2011	A*	`conf`	Joint Annotation of Search Queries. ACL Michael Bendersky, W. Bruce Croft, David A. Smith
2011	A*	`conf`	Parameterized concept weighting in verbose queries. SIGIR Michael Bendersky, Donald Metzler, W. Bruce Croft
2011	A	`conf`	Quality-biased ranking of web documents. WSDM Michael Bendersky, W. Bruce Croft, Yanlei Diao
2010	A	`conf`	Learning concept importance using a weighted dependence model. WSDM Michael Bendersky, Donald Metzler, W. Bruce Croft
2010	A*	`conf`	Learning to rank query reformulations. SIGIR Van Dang, Michael Bendersky, W. Bruce Croft
2010	J	`jnl`	Query representation and understanding workshop. SIGIR Forum W. Bruce Croft, Michael Bendersky, Hang Li, Gu Xu
2010	A	`conf`	Structural annotation of search queries using pseudo-relevance feedback. CIKM Michael Bendersky, W. Bruce Croft, David A. Smith
2010	—	`conf`	TREC 2010 Web Track Notebook: Term Dependence, Spam Filtering and Quality Bias. TREC Michael Bendersky, David Fisher, W. Bruce Croft
2010	A*	`conf`	The anatomy of an ad: structured indexing and retrieval for sponsored search. WWW Michael Bendersky, Evgeniy Gabrilovich, Vanja Josifovski, Donald Metzler
2010	J	`jnl`	Utilizing inter-passage and inter-document similarities for reranking search results. ACM Trans. Inf. Syst. Eyal Krikon, Oren Kurland, Michael Bendersky
2010	J	`jnl`	Utilizing passage-based language models for ad hoc document retrieval. Inf. Retr. Michael Bendersky, Oren Kurland
2009	—	`conf`	Analysis of long queries in a large scale search log. WSCD@WSDM Michael Bendersky, W. Bruce Croft
2009	A	`conf`	Finding text reuse on the web. WSDM Michael Bendersky, W. Bruce Croft
2009	A*	`conf`	Two-stage query segmentation for information retrieval. SIGIR Michael Bendersky, W. Bruce Croft, David A. Smith
2009	A	`conf`	Utilizing inter-passage and inter-document similarities for re-ranking search results. CIKM Eyal Krikon, Oren Kurland, Michael Bendersky
2008	A*	`conf`	Discovering key concepts in verbose queries. SIGIR Michael Bendersky, W. Bruce Croft
2008	A*	`conf`	Re-ranking search results using document-passage graphs. SIGIR Michael Bendersky, Oren Kurland
2008	A	`conf`	Utilizing Passage-Based Language Models for Document Retrieval. ECIR Michael Bendersky, Oren Kurland