Michael Bendersky

Orcid: 0000-0002-2941-6240

According to our database1, Michael Bendersky authored at least 133 papers between 2008 and 2024.

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Bibliography

2024
Unlocking the 'Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience.
CoRR, 2024

PRewrite: Prompt Rewriting with Reinforcement Learning.
CoRR, 2024

Bridging the Preference Gap between Retrievers and LLMs.
CoRR, 2024

WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
A Graphical Calibration Method for a Water Quality Model Considering Process Variability Versus Delay Time: Theory and a Case Study.
Comput., October, 2023

Take One Step at a Time to Know Incremental Utility of Demonstration: An Analysis on Reranking for Few-Shot In-Context Learning.
CoRR, 2023

Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers.
CoRR, 2023

On What Basis? Predicting Text Preference Via Structured Comparative Reasoning.
CoRR, 2023

It's All Relative! - A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction.
CoRR, 2023

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning.
CoRR, 2023

Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels.
CoRR, 2023

Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling.
CoRR, 2023

Automated Evaluation of Personalized Text Generation using Large Language Models.
CoRR, 2023

Automatic Prompt Rewriting for Personalized Text Generation.
CoRR, 2023

Ambiguity-Aware In-Context Learning with Large Language Models.
CoRR, 2023

Teach LLMs to Personalize - An Approach inspired by Writing Education.
CoRR, 2023

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting.
CoRR, 2023

Learning to Rank when Grades Matter.
CoRR, 2023

Do Not Blindly Imitate the Teacher: Using Perturbed Loss for Knowledge Distillation.
CoRR, 2023

Query Expansion by Prompting Large Language Models.
CoRR, 2023

LaMP: When Large Language Models Meet Personalization.
CoRR, 2023

"Why is this misleading?": Detecting News Headline Hallucinations with Explanations.
Proceedings of the ACM Web Conference 2023, 2023

LLMs to the Moon? Reddit Market Sentiment Analysis with Large Language Models.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Job Type Extraction for Service Businesses.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multivariate Representation Learning for Information Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SparseEmbed: Learning Sparse Lexical Representations with Contextual Embeddings for Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

SIGIR 2023 Workshop on Retrieval Enhanced Machine Learning (REML @ SIGIR 2023).
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Metric-agnostic Ranking Optimization.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning List-Level Domain-Invariant Representations for Ranking.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Disentangling Relevance and Bias in Unbiased Learning to Rank.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

End-to-End Query Term Weighting.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Creator Context for Tweet Recommendation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Exploring the Viability of Synthetic Query Generation for Relevance Prediction.
Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

Learning Sparse Lexical Representations Over Specified Vocabularies for Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Regression Compatible Listwise Objectives for Calibrated Ranking with Binary Relevance.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Regression Compatible Listwise Objectives for Calibrated Ranking.
CoRR, 2022

Retrieval Augmentation for T5 Re-ranker using External Sources.
CoRR, 2022

Retrieval-Enhanced Machine Learning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Revisiting Two-tower Models for Unbiased Learning to Rank.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

On Optimizing Top-K Metrics for Neural Ranking Models.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Scale Calibration of Deep Ranking Models.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-Aspect Dense Retrieval.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Rax: Composable Learning-to-Rank Using JAX.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Stochastic Retrieval-Conditioned Reranking.
Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models.
Proceedings of the Advances in Information Retrieval, 2022

2021
Fire support with Gaussian estimation of environmental conditions based on single or multiple target registration.
J. Oper. Res. Soc., 2021

Search and Discovery in Personal Email Collections.
Found. Trends Inf. Retr., 2021

Rank4Class: A Ranking Formulation for Multiclass Classification.
CoRR, 2021

Born Again Neural Rankers.
CoRR, 2021

LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding.
CoRR, 2021

Privacy-Adaptive BERT for Natural Language Understanding.
CoRR, 2021

Cross-Positional Attention for Debiasing Clicks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Diversification-Aware Learning to Rank using Distributed Representation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Interpretable Ranking with Generalized Additive Models.
Proceedings of the WSDM '21, 2021

Improving Cloud Storage Search with User Activity.
Proceedings of the WSDM '21, 2021

WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Dynamic Language Models for Continuously Evolving Content.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Bootstrapping Recommendations at Chrome Web Store.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Ensemble Distillation for BERT-Based Ranking Models.
Proceedings of the ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, 2021

Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
Proceedings of the 9th International Conference on Learning Representations, 2021

Natural Language Understanding with Privacy-Preserving BERT.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling.
CoRR, 2020

Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach.
CoRR, 2020

RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble.
CoRR, 2020

Interpretable Learning-to-Rank with Generalized Additive Models.
CoRR, 2020

Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching.
CoRR, 2020

Learning-to-Rank with BERT in TF-Ranking.
CoRR, 2020

Matching Cross Network for Learning to Rank in Personal Search.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Adversarial Bandits Policy for Crawling Commercial Web Content.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A Stochastic Treatment of Learning to Rank Scoring Functions.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Feature Transformation for Neural Ranking Models.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Learning to Cluster Documents into Workspaces Using Large Scale Activity Logs.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Permutation Equivariant Document Interaction Network for Neural Learning to Rank.
Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020

DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking.
CoRR, 2019

Semantic Text Matching for Long-Form Documents.
Proceedings of the World Wide Web Conference, 2019

Predictive Crawling for Commercial Web Content.
Proceedings of the World Wide Web Conference, 2019

Personalized Online Spell Correction for Personal Search.
Proceedings of the World Wide Web Conference, 2019

Addressing Trust Bias for Unbiased Learning-to-Rank.
Proceedings of the World Wide Web Conference, 2019

Domain Adaptation for Enterprise Email Search.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Multi-view Embedding-based Synonyms for Email Search.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks.
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

2018
Learning Groupwise Scoring Functions Using Deep Neural Networks.
CoRR, 2018

Offline Comparison of Ranking Functions using Randomized Data.
CoRR, 2018

Position Bias Estimation for Unbiased Learning to Rank in Personal Search.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Semantic Location in Email Query Suggestion.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning with Sparse and Biased Feedback for Personal Search.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

The LambdaLoss Framework for Ranking Metric Optimization.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Situational Context for Ranking in Personal Search.
Proceedings of the 26th International Conference on World Wide Web, 2017

Related Event Discovery.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Learning from User Interactions in Personal Search via Attribute Parameterization.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

2016
Deciding kidney-offer admissibility dependent on patients' lifetime failure rate.
Eur. J. Oper. Res., 2016

Semantic Video Trailers.
CoRR, 2016

Hierarchical Label Propagation and Discovery for Machine Generated Email.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Learning to Rank with Selection Bias in Personal Search.
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

2015
A Fast Algorithm for Scheduling Detection-and-Rescue Operations Based on Data from Wireless Sensor Networks.
Res. Comput. Sci., 2015

Information Retrieval with Verbose Queries.
Found. Trends Inf. Retr., 2015

Learning to Extract Local Events from the Web.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

2014
Up next: retrieval methods for large scale related video suggestion.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Two-Stage Learning to Rank for Information Retrieval.
Proceedings of the Advances in Information Retrieval, 2013

2012
Information retrieval with query hypergraphs.
SIGIR Forum, 2012

Effective query formulation with multiple information sources.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Modeling higher-order term dependencies in information retrieval using query hypergraphs.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

A Dictionary of Wisdom and Wit: Learning to Extract Quotable Phrases.
Proceedings of the Workshop on Computational Linguistics for Literature, 2012

2011
Quality-biased ranking of web documents.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Parameterized concept weighting in verbose queries.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Joint Annotation of Search Queries.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Utilizing inter-passage and inter-document similarities for reranking search results.
ACM Trans. Inf. Syst., 2010

Query representation and understanding workshop.
SIGIR Forum, 2010

Utilizing passage-based language models for ad hoc document retrieval.
Inf. Retr., 2010

The anatomy of an ad: structured indexing and retrieval for sponsored search.
Proceedings of the 19th International Conference on World Wide Web, 2010

Learning concept importance using a weighted dependence model.
Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

TREC 2010 Web Track Notebook: Term Dependence, Spam Filtering and Quality Bias.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

Learning to rank query reformulations.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Structural annotation of search queries using pseudo-relevance feedback.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Analysis of long queries in a large scale search log.
Proceedings of the 2009 workshop on Web Search Click Data, 2009

Finding text reuse on the web.
Proceedings of the Second International Conference on Web Search and Web Data Mining, 2009

Two-stage query segmentation for information retrieval.
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009

Utilizing inter-passage and inter-document similarities for re-ranking search results.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008
Re-ranking search results using document-passage graphs.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Discovering key concepts in verbose queries.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Utilizing Passage-Based Language Models for Document Retrieval.
Proceedings of the Advances in Information Retrieval , 2008


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