Andrew Yates

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 126

Top Venues

Publications

Maurits J. R. Bleeker, Mariya Hendriksen, Andrew Yates, Maarten de Rijke
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning. CoRR (2024)
Canjia Li, Andrew Yates, Sean MacAvaney, Ben He, Yingfei Sun
PARADE: Passage Representation Aggregation forDocument Reranking. ACM Trans. Inf. Syst. 42 (2) (2024)
Thilina Chaturanga Rajapakse, Andrew Yates, Maarten de Rijke
Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting. SIGIR (2024)
Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, Andrew Yates
Corpus-Steered Query Expansion with Large Language Models. EACL (2) (2024)
Hai Dang Tran, Andrew Yates, Gerhard Weikum
Conversational Search with Tail Entities. ECIR (2) (2024)
Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu, Maarten de Rijke, Andy D. Pimentel
Distillation vs. Sampling for Efficient Training of Learning to Rank Models. ICTIR (2024)
Clara Rus, Andrew Yates, Maarten de Rijke
A Study of Pre-processing Fairness Intervention Methods for Ranking People. ECIR (4) (2024)
Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Andrew Yates, Mohammad Aliannejadi, Maarten de Rijke
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? SIGIR (2024)
Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas
Contextualizing and Expanding Conversational Queries without Supervision. ACM Trans. Inf. Syst. 42 (3) (2024)
Gabriel Bénédict, Ruqing Zhang, Donald Metzler, Andrew Yates, Ziyan Jiang
Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval. SIGIR (2024)
Thong Nguyen, Mariya Hendriksen, Andrew Yates, Maarten de Rijke
Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control. ECIR (2) (2024)
Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates
Meta-Task Prompting Elicits Embeddings from Large Language Models. ACL (1) (2024)
Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, Andrew Yates
Corpus-Steered Query Expansion with Large Language Models. CoRR (2024)
Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates
Meta-Task Prompting Elicits Embedding from Large Language Models. CoRR (2024)
Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Mohammad Aliannejadi, Andrew Yates, Maarten de Rijke
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? CoRR (2024)
Thong Nguyen, Mariya Hendriksen, Andrew Yates, Maarten de Rijke
Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control. CoRR (2024)
Thong Nguyen, Mariya Hendriksen, Andrew Yates
Multimodal Learned Sparse Retrieval for Image Suggestion. CoRR (2024)
Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke
Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping. RecSys (2023)
Thong Nguyen, Sean MacAvaney, Andrew Yates
A Unified Framework for Learned Sparse Retrieval. CoRR (2023)
Lila Boualili, Andrew Yates
A Study of Term-Topic Embeddings for Ranking. ECIR (2) (2023)
Michael Unterkalmsteiner, Andrew Yates
Expert-sourcing Domain-specific Knowledge: The Case of Synonym Validation. CoRR (2023)
Ming Li, Ali Vardasbi, Andrew Yates, Maarten de Rijke
Repetition and Exploration in Sequential Recommendation. SIGIR (2023)
Thong Nguyen, Andrew Yates
Generative Retrieval as Dense Retrieval. CoRR (2023)
Clara Rus, Maarten de Rijke, Andrew Yates
Counterfactual Representations for Intersectional Fair Ranking in Recruitment. HR@RecSys (2023)
Vaishali Pal, Andrew Yates, Evangelos Kanoulas, Maarten de Rijke
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering. ACL (1) (2023)
Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke
Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping. CoRR (2023)
Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. CoRR (2023)
Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. ACL (Findings) (2023)
Gabriel Bénédict, Ruqing Zhang, Donald Metzler, Andrew Yates, Romain Deffayet, Philipp Hager, Sami Jullien
Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023. SIGIR Forum 57 (2) (2023)
Skip Thijssen, Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu
MassiveClicks: A Massively-Parallel Framework for Efficient Click Models Training. Euro-Par Workshops (1) (2023)
Ghazaleh Haratinezhad Torbati, Anna Tigunova, Andrew Yates, Gerhard Weikum
Recommendations by Concise User Profiles from Review Text. CoRR (2023)
Vaishali Pal, Andrew Yates, Evangelos Kanoulas, Maarten de Rijke
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering. CoRR (2023)
Andrew Yates, Michael Unterkalmsteiner
Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain. CoRR (2023)
Maurits J. R. Bleeker, Andrew Yates, Maarten de Rijke
Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval. Trans. Mach. Learn. Res. 2023 (2023)
Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke
Who Will Purchase This Item Next? Reverse Next Period Recommendation in Grocery Shopping. Trans. Recomm. Syst. 1 (2) (2023)
Thong Nguyen, Sean MacAvaney, Andrew Yates
Adapting Learned Sparse Retrieval for Long Documents. SIGIR (2023)
Ghazaleh Haratinezhad Torbati, Gerhard Weikum, Andrew Yates
Search-based Recommendation: the Case for Difficult Predictions. WWW (Companion Volume) (2023)
Thong Nguyen, Sean MacAvaney, Andrew Yates
A Unified Framework for Learned Sparse Retrieval. ECIR (3) (2023)
Thong Nguyen, Sean MacAvaney, Andrew Yates
Adapting Learned Sparse Retrieval for Long Documents. CoRR (2023)
Maurits J. R. Bleeker, Andrew Yates, Maarten de Rijke
Keep the Caption Information: Preventing Shortcut Learning in Contrastive Image-Caption Retrieval. CoRR (2022)
Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas
Zero-shot Query Contextualization for Conversational Search. CoRR (2022)
Ronak Pradeep, Yuqi Liu, Xinyu Zhang, Yilin Li, Andrew Yates, Jimmy Lin
Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking. ECIR (1) (2022)
Hai Dang Tran, Andrew Yates
Dense Retrieval with Entity Views. CIKM (2022)
Shahrzad Naseri, Jeffrey Dalton, Andrew Yates, James Allan
CEQE to SQET: A study of contextualized embeddings for query expansion. Inf. Retr. J. 25 (2) (2022)
Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas
Zero-shot Query Contextualization for Conversational Search. SIGIR (2022)
Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, Arman Cohan
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires. ACL (1) (2022)
Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, Arman Cohan
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires. CoRR (2022)
Pooya Khandel, Ilya Markov, Andrew Yates, Ana Lucia Varbanescu
ParClick: A Scalable Algorithm for EM-based Click Models. WWW (2022)
Kevin Martin Jose, Thong Nguyen, Sean MacAvaney, Jeffrey Dalton, Andrew Yates
DiffIR: Exploring Differences in Ranking Models' Behavior. SIGIR (2021)
Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum
Exploring Personal Knowledge Extraction from Conversations with CHARM. WSDM (2021)
Iain Mackie, Jeffrey Dalton, Andrew Yates
How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. SIGIR (2021)
Ghazaleh Haratinezhad Torbati, Andrew Yates, Gerhard Weikum
You Get What You Chat: Using Conversations to Personalize Search-based Recommendations. CoRR (2021)
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
Simplified Data Wrangling with ir_datasets. SIGIR (2021)
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
Simplified Data Wrangling with ir_datasets. CoRR (2021)
Simon Razniewski, Andrew Yates, Nora Kassner, Gerhard Weikum
Language Models As or For Knowledge Bases. CoRR (2021)
Andrew Yates, Rodrigo Nogueira, Jimmy Lin
Pretrained Transformers for Text Ranking: BERT and Beyond. WSDM (2021)
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates
Contextualized query expansion via unsupervised chunk selection for text retrieval. Inf. Process. Manag. 58 (5) (2021)
Ghazaleh Haratinezhad Torbati, Andrew Yates, Gerhard Weikum
Personalized Entity Search by Sparse and Scrutable User Profiles. CoRR (2021)
Andrew Yates, Rodrigo Nogueira, Jimmy Lin
Pretrained Transformers for Text Ranking: BERT and Beyond. SIGIR (2021)
Shahrzad Naseri, Jeffrey Dalton, Andrew Yates, James Allan
CEQE: Contextualized Embeddings for Query Expansion. CoRR (2021)
Xinyu Zhang, Andrew Yates, Jimmy Lin
Comparing Score Aggregation Approaches for Document Retrieval with Pretrained Transformers. ECIR (2) (2021)
Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum
PRIDE: Predicting Relationships in Conversations. EMNLP (1) (2021)
Ghazaleh H. Torbati, Andrew Yates, Gerhard Weikum
You Get What You Chat: Using Conversations to Personalize Search-Based Recommendations. ECIR (1) (2021)
Simon Razniewski, Andrew Yates, Nora Kassner, Gerhard Weikum
Language Models As or For Knowledge Bases. DL4KG@ISWC (2021)
Shahrzad Naseri, Jeff Dalton, Andrew Yates, James Allan
CEQE: Contextualized Embeddings for Query Expansion. ECIR (1) (2021)
Iain Mackie, Jeff Dalton, Andrew Yates
How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. CoRR (2021)
Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum
CHARM: Inferring Personal Attributes from Conversations. EMNLP (1) (2020)
Jimmy Lin, Rodrigo Nogueira, Andrew Yates
Pretrained Transformers for Text Ranking: BERT and Beyond. CoRR (2020)
Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum
RedDust: a Large Reusable Dataset of Reddit User Traits. LREC (2020)
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates
BERT-QE: Contextualized Query Expansion for Document Re-ranking. CoRR (2020)
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates
BERT-QE: Contextualized Query Expansion for Document Re-ranking. EMNLP (Findings) (2020)
Andrew Yates, Kevin Martin Jose, Xinyu Zhang, Jimmy Lin
Flexible IR Pipelines with Capreolus. CIKM (2020)
Canjia Li, Andrew Yates
MPII at the TREC 2020 Deep Learning Track. TREC (2020)
Andrew Yates, Siddhant Arora, Xinyu Zhang, Wei Yang, Kevin Martin Jose, Jimmy Lin
Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval. WSDM (2020)
Canjia Li, Andrew Yates, Sean MacAvaney, Ben He, Yingfei Sun
PARADE: Passage Representation Aggregation for Document Reranking. CoRR (2020)
Ghazaleh H. Torbati, Andrew Yates, Gerhard Weikum
Personalized Entity Search by Sparse and Scrutable User Profiles. CHIIR (2020)
Xinyu Zhang, Andrew Yates, Jimmy Lin
A Little Bit Is Worse Than None: Ranking with Limited Training Data. SustaiNLP@EMNLP (2020)
Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum
Listening between the Lines: Learning Personal Attributes from Conversations. CoRR (2019)
Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum
Listening between the Lines: Learning Personal Attributes from Conversations. WWW (2019)
Siddhant Arora, Andrew Yates
Investigating Retrieval Method Selection with Axiomatic Features. CoRR (2019)
Andrew Yates, Michael Unterkalmsteiner
Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain. ECIR (1) (2019)
Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo
Using Multi-Sense Vector Embeddings for Reverse Dictionaries. CoRR (2019)
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum
STANCY: Stance Classification Based on Consistency Cues. CoRR (2019)
Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian
CEDR: Contextualized Embeddings for Document Ranking. CoRR (2019)
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum
STANCY: Stance Classification Based on Consistency Cues. EMNLP/IJCNLP (1) (2019)
Michael Unterkalmsteiner, Andrew Yates
Expert-sourcing Domain-specific Knowledge: The Case of Synonym Validation. REFSQ Workshops (2019)
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
Overcoming low-utility facets for complex answer retrieval. Inf. Retr. J. 22 (3-4) (2019)
Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo
Using Multi-Sense Vector Embeddings for Reverse Dictionaries. IWCS (1) (2019)
Siddhant Arora, Andrew Yates
Investigating Retrieval Method Selection with Axiomatic Features. AMIR@ECIR (2019)
Sean MacAvaney, Andrew Yates, Kai Hui, Ophir Frieder
Content-Based Weak Supervision for Ad-Hoc Re-Ranking. SIGIR (2019)
Samarth Mehrotra, Andrew Yates
MPII at TREC CAsT 2019: Incoporating Query Context into a BERT Re-ranker. TREC (2019)
Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian
CEDR: Contextualized Embeddings for Document Ranking. SIGIR (2019)
Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. EMNLP (2018)
Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian
SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. COLING (2018)
Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. CoRR (2018)
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
Overcoming low-utility facets for complex answer retrieval. CoRR (2018)
Sean MacAvaney, Nazli Goharian, Ophir Frieder, Andrew Yates
PACRR Gated Expansion for TREC CAR 2018. TREC (2018)
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
Characterizing Question Facets for Complex Answer Retrieval. CoRR (2018)
Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. CoRR (2018)
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
Overcoming Low-Utility Facets for Complex Answer Retrieval. ProfS/KG4IR/Data:Search@SIGIR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Andrew Yates