Michael Bendersky

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 137

Top Venues

Publications

Hamed Zamani, Michael Bendersky
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization. CoRR (2024)
Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. ACL (1) (2024)
Kazuma Hashimoto, Karthik Raman, Michael Bendersky
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning. NAACL-HLT (2024)
Jiaming Shen, Tianqi Liu, Jialu Liu, Zhen Qin, Jay Pavagadhi, Simon Baumgartner, Michael Bendersky
Multilingual Fine-Grained News Headline Hallucination Detection. CoRR (2024)
Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky
Learning to Rewrite Prompts for Personalized Text Generation. WWW (2024)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. CoRR (2024)
Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. KDD (2024)
Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang
The Second Workshop on Large Language Models for Individuals, Groups, and Society. SIGIR (2024)
Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
Bridging the Preference Gap between Retrievers and LLMs. CoRR (2024)
Hamed Zamani, Michael Bendersky
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization. SIGIR (2024)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Haorui Wang, Zhen Qin, Feng Han, Jialu Liu, Simon Baumgartner, Michael Bendersky, Chao Zhang
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs. ACL (Findings) (2024)
Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
PRewrite: Prompt Rewriting with Reinforcement Learning. CoRR (2024)
Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
Bridging the Preference Gap between Retrievers and LLMs. ACL (1) (2024)
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
Predicting Text Preference Via Structured Comparative Reasoning. ACL (1) (2024)
Jiaming Shen, Ran Xu, Yennie Jun, Zhen Qin, Tianqi Liu, Carl Yang, Yi Liang, Simon Baumgartner, Michael Bendersky
Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data Generation. CoRR (2024)
Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? SIGIR (2024)
Haoyang Wen, Honglei Zhuang, Hamed Zamani, Alexander Hauptmann, Michael Bendersky
Multimodal Reranking for Knowledge-Intensive Visual Question Answering. CoRR (2024)
Tao Chen, Siqi Zuo, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
Unlocking the 'Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience. CoRR (2024)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
Knowledge Distillation with Perturbed Loss: From a Vanilla Teacher to a Proxy Teacher. KDD (2024)
Harrie Oosterhuis, Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky
Reliable Confidence Intervals for Information Retrieval Evaluation Using Generative A.I. CoRR (2024)
Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach. CoRR (2024)
Le Yan, Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xuanhui Wang, Michael Bendersky, Harrie Oosterhuis
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing. CoRR (2024)
Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani
LaMP: When Large Language Models Meet Personalization. ACL (1) (2024)
Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang
WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. WSDM (2024)
Eyal Brill, Michael Bendersky
A Graphical Calibration Method for a Water Quality Model Considering Process Variability Versus Delay Time: Theory and a Case Study. Comput. 11 (10) (2023)
Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. CoRR (2023)
Hamed Zamani, Michael Bendersky
Multivariate Representation Learning for Information Retrieval. SIGIR (2023)
Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky
LLMs to the Moon? Reddit Market Sentiment Analysis with Large Language Models. WWW (Companion Volume) (2023)
Rolf Jagerman, Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky
Query Expansion by Prompting Large Language Models. CoRR (2023)
Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin
Creator Context for Tweet Recommendation. EMNLP (Industry Track) (2023)
Vasilisa Bashlovkina, Riley Matthews, Zhaobin Kuang, Simon Baumgartner, Michael Bendersky
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding. KDD (2023)
Cheng Li, Mingyang Zhang, Qiaozhu Mei, Yaqing Wang, Spurthi Amba Hombaiah, Yi Liang, Michael Bendersky
Teach LLMs to Personalize - An Approach inspired by Writing Education. CoRR (2023)
Yaqing Wang, Jiepu Jiang, Mingyang Zhang, Cheng Li, Yi Liang, Qiaozhu Mei, Michael Bendersky
Automated Evaluation of Personalized Text Generation using Large Language Models. CoRR (2023)
Jiaming Shen, Jialu Liu, Daniel Finnie, Negar Rahmati, Michael Bendersky, Marc Najork
"Why is this misleading?": Detecting News Headline Hallucinations with Explanations. CoRR (2023)
Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
Learning List-Level Domain-Invariant Representations for Ranking. NeurIPS (2023)
Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky
Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers. CoRR (2023)
Lingyu Gao, Aditi Chaudhary, Krishna Srinivasan, Kazuma Hashimoto, Karthik Raman, Michael Bendersky
Ambiguity-Aware In-Context Learning with Large Language Models. CoRR (2023)
Michael Bendersky, Danqi Chen, Fernando Diaz, Hamed Zamani
SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023). SIGIR (2023)
Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, Michael Bendersky
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels. CoRR (2023)
Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork, Matt Colen, Sergey Levi, Vladimir Ofitserov, Tanvir Amin
Creator Context for Tweet Recommendation. CoRR (2023)
Rongzhi Zhang, Jiaming Shen, Tianqi Liu, Jialu Liu, Michael Bendersky, Marc Najork, Chao Zhang
Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation. CoRR (2023)
Kazuma Hashimoto, Karthik Raman, Michael Bendersky
Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning. CoRR (2023)
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
On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. CoRR (2023)
Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. SIGIR (2023)
Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. CoRR (2023)
Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky
Automatic Prompt Rewriting for Personalized Text Generation. CoRR (2023)
Cheng Li, Yaping Qi, Hayk Zakaryan, Mingyang Zhang, Michael Bendersky, Yonghua Wu, Marc Najork
Job Type Extraction for Service Businesses. WWW (Companion Volume) (2023)
Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. KDD (2023)
Yaqing Wang, Jialin Wu, Tanmaya Dabral, Jiageng Zhang, Geoff Brown, Chun-Ta Lu, Frederick Liu, Yi Liang, Bo Pang, Michael Bendersky, Radu Soricut
Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling. CoRR (2023)
Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky
What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis. WWW (Companion Volume) (2023)
Qingyao Ai, Xuanhui Wang, Michael Bendersky
Metric-agnostic Ranking Optimization. CoRR (2023)
Alireza Salemi, Sheshera Mysore, Michael Bendersky, Hamed Zamani
LaMP: When Large Language Models Meet Personalization. CoRR (2023)
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
End-to-End Query Term Weighting. KDD (2023)
Qingyao Ai, Xuanhui Wang, Michael Bendersky
Metric-agnostic Ranking Optimization. SIGIR (2023)
Weize Kong, Jeffrey M. Dudek, Cheng Li, Mingyang Zhang, Michael Bendersky
SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval. SIGIR (2023)
Hamed Zamani, Michael Bendersky
Multivariate Representation Learning for Information Retrieval. CoRR (2023)
Aijun Bai, Rolf Jagerman, Zhen Qin, Le Yan, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance. CIKM (2023)
Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. CoRR (2023)
Jeffrey M. Dudek, Weize Kong, Cheng Li, Mingyang Zhang, Michael Bendersky
Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval. CIKM (2023)
Aditi Chaudhary, Karthik Raman, Michael Bendersky
It's All Relative! - A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction. CoRR (2023)
Aijun Bai, Rolf Jagerman, Zhen Qin, Pratyush Kar, Bing-Rong Lin, Xuanhui Wang, Michael Bendersky, Marc Najork
Regression Compatible Listwise Objectives for Calibrated Ranking. CoRR (2022)
Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
Search and Discovery in Personal Email Collections. WSDM (2022)
Le Yan, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
Scale Calibration of Deep Ranking Models. KDD (2022)
Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang
Stochastic Retrieval-Conditioned Reranking. ICTIR (2022)
Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing Lu, Ji Ma, Kai Hui, Han Zhao, Xuanhui Wang, Michael Bendersky
Learning List-Level Domain-Invariant Representations for Ranking. CoRR (2022)
Le Yan, Zhen Qin, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Revisiting Two-tower Models for Unbiased Learning to Rank. SIGIR (2022)
Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models. CoRR (2022)
Krishna Srinivasan, Karthik Raman, Anupam Samanta, Lingrui Liao, Luca Bertelli, Michael Bendersky
QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation. EMNLP (Industry Track) (2022)
Yunan Zhang, Le Yan, Zhen Qin, Honglei Zhuang, Jiaming Shen, Xuanhui Wang, Michael Bendersky, Marc Najork
Towards Disentangling Relevance and Bias in Unbiased Learning to Rank. CoRR (2022)
Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky
Retrieval-Enhanced Machine Learning. CoRR (2022)
Tao Chen, Mingyang Zhang, Jing Lu, Michael Bendersky, Marc Najork
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models. ECIR (1) (2022)
Rolf Jagerman, Zhen Qin, Xuanhui Wang, Michael Bendersky, Marc Najork
On Optimizing Top-K Metrics for Neural Ranking Models. SIGIR (2022)
Rolf Jagerman, Xuanhui Wang, Honglei Zhuang, Zhen Qin, Michael Bendersky, Marc Najork
Rax: Composable Learning-to-Rank Using JAX. KDD (2022)
Honglei Zhuang, Zhen Qin, Rolf Jagerman, Kai Hui, Ji Ma, Jing Lu, Jianmo Ni, Xuanhui Wang, Michael Bendersky
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses. CoRR (2022)
Hamed Zamani, Fernando Diaz, Mostafa Dehghani, Donald Metzler, Michael Bendersky
Retrieval-Enhanced Machine Learning. SIGIR (2022)
Weize Kong, Swaraj Khadanga, Cheng Li, Shaleen Kumar Gupta, Mingyang Zhang, Wensong Xu, Michael Bendersky
Multi-Aspect Dense Retrieval. KDD (2022)
Xiang Deng, Vasilisa Bashlovkina, Feng Han, Simon Baumgartner, Michael Bendersky
What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis. CoRR (2022)
Zhen Qin, Le Yan, Yi Tay, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Born Again Neural Rankers. CoRR (2021)
Te-Lin Wu, Cheng Li, Mingyang Zhang, Tao Chen, Spurthi Amba Hombaiah, Michael Bendersky
LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding. CoRR (2021)
Michael Bendersky, Israel David, Dor Elboim
Fire support with Gaussian estimation of environmental conditions based on single or multiple target registration. J. Oper. Res. Soc. 72 (9) (2021)
Le Yan, Zhen Qin, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky
Diversification-Aware Learning to Rank using Distributed Representation. WWW (2021)
Zhen Qin, Honglei Zhuang, Rolf Jagerman, Xinyu Qian, Po Hu, Dan Chary Chen, Xuanhui Wang, Michael Bendersky, Marc Najork
Bootstrapping Recommendations at Chrome Web Store. KDD (2021)
Rolf Jagerman, Weize Kong, Rama Kumar Pasumarthi, Zhen Qin, Michael Bendersky, Marc Najork
Improving Cloud Storage Search with User Activity. WSDM (2021)
Michael Bendersky, Xuanhui Wang, Marc Najork, Donald Metzler
Search and Discovery in Personal Email Collections. Found. Trends Inf. Retr. 15 (1) (2021)
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. SIGIR (2021)
Krishna Srinivasan, Karthik Raman, Jiecao Chen, Michael Bendersky, Marc Najork
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning. CoRR (2021)
Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees? ICLR (2021)
Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork
Natural Language Understanding with Privacy-Preserving BERT. CIKM (2021)
Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork
Dynamic Language Models for Continuously Evolving Content. KDD (2021)
Nan Wang, Zhen Qin, Le Yan, Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Marc Najork
Rank4Class: A Ranking Formulation for Multiclass Classification. CoRR (2021)
Spurthi Amba Hombaiah, Tao Chen, Mingyang Zhang, Michael Bendersky, Marc Najork
Dynamic Language Models for Continuously Evolving Content. CoRR (2021)
Chen Qu, Weize Kong, Liu Yang, Mingyang Zhang, Michael Bendersky, Marc Najork
Privacy-Adaptive BERT for Natural Language Understanding. CoRR (2021)
Honglei Zhuang, Zhen Qin, Shuguang Han, Xuanhui Wang, Michael Bendersky, Marc Najork
Ensemble Distillation for BERT-Based Ranking Models. ICTIR (2021)
Honglei Zhuang, Xuanhui Wang, Michael Bendersky, Alexander Grushetsky, Yonghui Wu, Petr Mitrichev, Ethan Sterling, Nathan Bell, Walker Ravina, Hai Qian
Interpretable Ranking with Generalized Additive Models. WSDM (2021)
Honglei Zhuang, Zhen Qin, Xuanhui Wang, Michael Bendersky, Xinyu Qian, Po Hu, Dan Chary Chen
Cross-Positional Attention for Debiasing Clicks. WWW (2021)
Weize Kong, Michael Bendersky, Marc Najork, Brandon Vargo, Mike Colagrosso
Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs. KDD (2020)
Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling. CoRR (2020)
Zhen Qin, Zhongliang Li, Michael Bendersky, Donald Metzler
Matching Cross Network for Learning to Rank in Personal Search. WWW (2020)
Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching. CoRR (2020)
Liu Yang, Mingyang Zhang, Cheng Li, Michael Bendersky, Marc Najork
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching. CIKM (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Michael Bendersky