Andrew Yates

215 papers A* 31A 19B 6C 1Misc 2Journal 91Unranked 64
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage.
CoRR
Saron Samuel, Alexander Martin, Eugene Yang, Andrew Yates, Dawn J. Lawrie, Ian Soboroff, Laura Dietz, Benjamin Van Durme
2026 J jnl
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data.
CoRR
Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett, Rafael Mosquera Gómez, Sara Hincapié Monsalve, Thom Vaughan, Damian Stewart, Malte Ostendorff, Idris Abdulmumin, Vukosi Marivate, Shamsuddeen Hassan Muhammad, Atnafu Lambebo Tonja, Hend Al-Khalifa, Nadia Ghezaiel Hammouda, Verrah Otiende, Tack Hwa Wong, Jakhongir Saydaliev, Melika Nobakhtian, Muhammad Ravi Shulthan Habibi, Chalamalasetti Kranti, Carol Muchemi, Khang Nguyen, Faisal Muhammad Adam, Luis Frentzen Salim, Reem Alqifari, Cynthia Amol, Joseph Marvin Imperial, Ilker Kesen, Ahmad Mustafid, Pavel Stepachev, Leshem Choshen, David Anugraha, Hamada Nayel, Seid Muhie Yimam, Vallerie Alexandra Putra, My Chiffon Nguyen, Azmine Toushik Wasi, Gouthami Vadithya, Rob van der Goot, Lanwenn Ar C'horr, Karan Dua, Andrew Yates, Mithil Bangera, Yeshil Bangera, Hitesh Laxmichand Patel, Shu Okabe, Fenal Ashokbhai Ilasariya, Dmitry Gaynullin, Genta Indra Winata, Yiyuan Li, Juan Pablo Martínez, Amit Agarwal, Ikhlasul Akmal Hanif, Raia Abu Ahmad, Esther Adenuga, Filbert Aurelian Tjiaranata, Weerayut Buaphet, Michael Anugraha, Sowmya Vajjala, Benjamin Rice, Azril Hafizi Amirudin, Jesujoba O. Alabi, Srikant Panda, Yassine Toughrai, Bruhan Kyomuhendo, Daniel Ruffinelli, Akshata A, Manuel Goulão, Ej Zhou, Ingrid Gabriela Franco Ramirez, Cristina Aggazzotti, Konstantin Dobler, Jun Kevin, Quentin Pagès, Nicholas Andrews, Nuhu Ibrahim, Mattes Ruckdeschel, Amr Keleg, Mike Zhang, Casper Muziri, Saron Samuel, Sotaro Takeshita, Kun Kerdthaisong, Luca Foppiano, Rasul Dent, Tommaso Green, Ahmad Mustapha Wali, Kamohelo Makaaka, Vicky Feliren, Inshirah Idris, Hande Çelikkanat, Abdulhamid Abubakar, Jean Maillard, Benoît Sagot, Thibault Clérice, Kenton Murray, Sarah Luger
2026 J jnl
CoverageBench: Evaluating Information Coverage across Tasks and Domains.
CoRR
Saron Samuel, Andrew Yates, Dawn J. Lawrie, Ian Soboroff, Trevor Adriaanse, Benjamin Van Durme, Eugene Yang
2026 — conf
FACTUM: Mechanistic Detection of Citation Hallucination in Long-Form RAG.
ECIR (1)
Maxime Dassen, Rebecca Kotula, Kenton Murray, Andrew Yates, Dawn J. Lawrie, Efsun Selin Kayi, James Mayfield, Kevin Duh
2026 J jnl
FACTUM: Mechanistic Detection of Citation Hallucination in Long-Form RAG.
CoRR
Maxime Dassen, Rebecca Kotula, Kenton Murray, Andrew Yates, Dawn J. Lawrie, Efsun Selin Kayi, James Mayfield, Kevin Duh
2026 — conf
Joint Modeling of Candidate and Recruiter Preferences for Fair Two-Sided Job Matching.
ECIR (3)
Clara Rus, Masoud Mansoury, Andrew Yates, Maarten de Rijke
2026 — conf
Judiciously Reducing Sub-group Comparisons for Learning Intersectional Fair Representations.
ECIR (3)
Clara Rus, Andrew Yates, Maarten de Rijke
2026 — conf
LANCER: LLM Reranking for Nugget Coverage.
ECIR (2)
Jia-Huei Ju, François G. Landry, Eugene Yang, Suzan Verberne, Andrew Yates
2026 J jnl
LANCER: LLM Reranking for Nugget Coverage.
CoRR
Jia-Huei Ju, François G. Landry, Eugene Yang, Suzan Verberne, Andrew Yates
2026 — conf
LLM-Based Listwise Reranking Under the Effect of Positional Bias.
ECIR (1)
Jingfen Qiao, Jin Huang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Evangelos Kanoulas, Andrew Yates
2026 J jnl
NeuCLIRTech: Chinese Monolingual and Cross-Language Information Retrieval Evaluation in a Challenging Domain.
CoRR
Dawn J. Lawrie, James Mayfield, Eugene Yang, Andrew Yates, Sean MacAvaney, Ronak Pradeep, Scott Miller, Paul McNamee, Luca Soldaini
2026 — conf
Neural Lexical Search with Learned Sparse Retrieval.
ECIR (4)
Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei
2026 J jnl
Overview of the TREC 2025 RAGTIME Track.
CoRR
Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Luca Soldaini, Eugene Yang, Andrew Yates
2026 — conf
Revisiting Human-vs-LLM Judgments Using the TREC Podcast Track.
ECIR (2)
Watheq Mansour, J. Shane Culpepper, Joel Mackenzie, Andrew Yates
2026 J jnl
Revisiting Human-vs-LLM judgments using the TREC Podcast Track.
CoRR
Watheq Mansour, J. Shane Culpepper, Joel Mackenzie, Andrew Yates
2026 — conf
RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation.
ECIR (4)
Eugene Yang, Andrew Yates, Dawn J. Lawrie, James Mayfield, Trevor Adriaanse
2026 J jnl
RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation.
CoRR
Eugene Yang, Andrew Yates, Dawn J. Lawrie, James Mayfield, Trevor Adriaanse
2026 J jnl
Sparton: Fast and Memory-Efficient Triton Kernel for Learned Sparse Retrieval.
CoRR
Thong Nguyen, Cosimo Rulli, Franco Maria Nardini, Rossano Venturini, Andrew Yates
2026 — conf
To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval.
ECIR (1)
Emmanouil Georgios Lionis, Jia-Huei Ju, Angelos Nalmpantis, Casper Thuis, Sean MacAvaney, Andrew Yates
2026 J jnl
To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval.
CoRR
Emmanouil Georgios Lionis, Jia-Huei Ju, Angelos Nalmpantis, Casper Thuis, Sean MacAvaney, Andrew Yates
2026 A conf
WSDM CUP 2026: Multilingual Retrieval.
WSDM
Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Luca Soldaini, Eugene Yang, Andrew Yates
2025 A* conf
A Reproducibility Study of LLM Setwise Reranker with Heapsort.
SIGIR
Dawn J. Lawrie, Efsun Selin Kayi, James Mayfield, Eugene Yang, Andrew Yates, Douglas W. Oard
2025 J jnl
Augmenting Researchy Questions with Sub-question Judgments.
CoRR
Jia-Huei Ju, Eugene Yang, Trevor Adriaanse, Andrew Yates
2025 — conf
CUP: A Framework for Resource-Efficient Review-Based Recommenders.
ECIR (2)
Ghazaleh H. Torbati, Anna Tigunova, Gerhard Weikum, Andrew Yates
2025 A conf
Constructing Set-Compositional and Negated Representations for First-Stage Ranking.
CIKM
Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas
2025 J jnl
Constructing Set-Compositional and Negated Representations for First-Stage Ranking.
CoRR
Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas
2025 — conf
Controlled Retrieval-augmented Context Evaluation for Long-form RAG.
EMNLP (Findings)
Jia-Huei Ju, Suzan Verberne, Maarten de Rijke, Andrew Yates
2025 J jnl
Controlled Retrieval-augmented Context Evaluation for Long-form RAG.
CoRR
Jia-Huei Ju, Suzan Verberne, Maarten de Rijke, Andrew Yates
2025 A* conf
Effective Inference-Free Retrieval for Learned Sparse Representations.
SIGIR
Franco Maria Nardini, Thong Nguyen, Cosimo Rulli, Rossano Venturini, Andrew Yates
2025 J jnl
Effective Inference-Free Retrieval for Learned Sparse Representations.
CoRR
Franco Maria Nardini, Thong Nguyen, Cosimo Rulli, Rossano Venturini, Andrew Yates
2025 — conf
Efficient and Effective Conversational Search with Tail Entity Selection.
ECIR (3)
Hai Dang Tran, Andrew Yates, Gerhard Weikum
2025 — conf
Enhancing Lexicon-Based Text Embeddings with Large Language Models.
ACL (1)
Yibin Lei, Tao Shen, Yu Cao, Andrew Yates
2025 J jnl
Enhancing Lexicon-Based Text Embeddings with Large Language Models.
CoRR
Yibin Lei, Tao Shen, Yu Cao, Andrew Yates
2025 J jnl
HLTCOE at LiveRAG: GPT-Researcher using ColBERT retrieval.
CoRR
Kevin Duh, Eugene Yang, Orion Weller, Andrew Yates, Dawn J. Lawrie
2025 — conf
Leveraging Decoder Architectures for Learned Sparse Retrieval.
KEIR
Jingfen Qiao, Thong Nguyen, Evangelos Kanoulas, Andrew Yates
2025 J jnl
Leveraging Decoder Architectures for Learned Sparse Retrieval.
CoRR
Jingfen Qiao, Thong Nguyen, Evangelos Kanoulas, Andrew Yates
2025 A* conf
MMMORRF: Multimodal Multilingual MOdularized Reciprocal Rank Fusion.
SIGIR
Saron Samuel, Dan DeGenaro, Jimena Guallar-Blasco, Kate Sanders, Seun Eisape, Arun V. Reddy, Alexander Martin, Andrew Yates, Eugene Yang, Cameron Carpenter, David Etter, Efsun Selin Kayi, Matthew Wiesner, Kenton Murray, Reno Kriz
2025 J jnl
MMMORRF: Multimodal Multilingual Modularized Reciprocal Rank Fusion.
CoRR
Saron Samuel, Dan DeGenaro, Jimena Guallar-Blasco, Kate Sanders, Oluwaseun Eisape, Arun V. Reddy, Alexander Martin, Andrew Yates, Eugene Yang, Cameron Carpenter, David Etter, Efsun Selin Kayi, Matthew Wiesner, Kenton Murray, Reno Kriz
2025 J jnl
Making Large Language Models Efficient Dense Retrievers.
CoRR
Yibin Lei, Shwai He, Ang Li, Andrew Yates
2025 J jnl
Milco: Learned Sparse Retrieval Across Languages via a Multilingual Connector.
CoRR
Thong Nguyen, Yibin Lei, Jia-Huei Ju, Eugene Yang, Andrew Yates
2025 J jnl
NeuCLIRBench: A Modern Evaluation Collection for Monolingual, Cross-Language, and Multilingual Information Retrieval.
CoRR
Dawn J. Lawrie, James Mayfield, Eugene Yang, Andrew Yates, Sean MacAvaney, Ronak Pradeep, Scott Miller, Paul McNamee, Luca Soldani
2025 A* conf
Neural Lexical Search with Learned Sparse Retrieval.
SIGIR
Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei
2025 — conf
PEIR: Modeling Performance in Neural Information Retrieval.
ECIR (2)
Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu, Maarten de Rijke, Andy D. Pimentel
2025 J jnl
Rank-K: Test-Time Reasoning for Listwise Reranking.
CoRR
Eugene Yang, Andrew Yates, Kathryn Ricci, Orion Weller, Vivek Chari, Benjamin Van Durme, Dawn J. Lawrie
2025 J jnl
Rank1: Test-Time Compute for Reranking in Information Retrieval.
CoRR
Orion Weller, Kathryn Ricci, Eugene Yang, Andrew Yates, Dawn J. Lawrie, Benjamin Van Durme
2025 J jnl
Report on the 2nd Search Futures Workshop at ECIR 2025.
SIGIR Forum
Charles L. A. Clarke, Paul B. Kantor, Adam Roegiest, Johanne R. Trippas, Zhaochun Ren, Maria Sofia Bucarelli, Xiao Fu, Yixing Fan, Michael Granitzer, David Graus, Maria Heuss, Jaap Kamps, Yibin Lei, Andrew Parry, Damiaan Reijnaers, Maarten de Rijke, Siddharth A. K. Singh, Yubao Tang, Suzan Verberne, Jonas Wallat, Yumeng Wang, Chen Xu, Andrew Yates, Saber Zerhoudi, Jujia Zhao
2025 A* conf
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction.
SIGIR
Jingfen Qiao, Jia-Huei Ju, Xinyu Ma, Evangelos Kanoulas, Andrew Yates
2025 J jnl
Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction.
CoRR
Jingfen Qiao, Jia-Huei Ju, Xinyu Ma, Evangelos Kanoulas, Andrew Yates
2025 A* conf
SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models.
EMNLP
Thong Nguyen, Yibin Lei, Jia-Huei Ju, Andrew Yates
2025 J jnl
SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models.
CoRR
Thong Nguyen, Yibin Lei, Jia-Huei Ju, Andrew Yates
2025 — conf
ThinkQE: Query Expansion via an Evolving Thinking Process.
EMNLP (Findings)
Yibin Lei, Tao Shen, Andrew Yates
2025 J jnl
ThinkQE: Query Expansion via an Evolving Thinking Process.
CoRR
Yibin Lei, Tao Shen, Andrew Yates
2025 A* conf
Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval.
CVPR
Arun V. Reddy, Alexander Martin, Eugene Yang, Andrew Yates, Kate Sanders, Kenton Murray, Reno Kriz, Celso M. de Melo, Benjamin Van Durme, Rama Chellappa
2025 J jnl
Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval.
CoRR
Arun V. Reddy, Alexander Martin, Eugene Yang, Andrew Yates, Kate Sanders, Kenton Murray, Reno Kriz, Celso M. de Melo, Benjamin Van Durme, Rama Chellappa
2025 Misc conf
Zero-Shot and Hybrid Strategies for Tetun Ad-Hoc Text Retrieval.
ICTIR
Gabriel de Jesus, Siddharth A. K. Singh, Sérgio Nunes, Andrew Yates
2024 — conf
A Study of Pre-processing Fairness Intervention Methods for Ranking People.
ECIR (4)
Clara Rus, Andrew Yates, Maarten de Rijke
2024 A conf
AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings.
CIKM
Clara Rus, Gabrielle Poerwawinata, Andrew Yates, Maarten de Rijke
2024 A* conf
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?
SIGIR
Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Andrew Yates, Mohammad Aliannejadi, Maarten de Rijke
2024 J jnl
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?
CoRR
Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Mohammad Aliannejadi, Andrew Yates, Maarten de Rijke
2024 J jnl
Contextualizing and Expanding Conversational Queries without Supervision.
ACM Trans. Inf. Syst.
Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas
2024 — conf
Conversational Search with Tail Entities.
ECIR (2)
Hai Dang Tran, Andrew Yates, Gerhard Weikum
2024 — conf
Corpus-Steered Query Expansion with Large Language Models.
EACL (2)
Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, Andrew Yates
2024 J jnl
Corpus-Steered Query Expansion with Large Language Models.
CoRR
Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, Andrew Yates
2024 J jnl
Corpus-informed Retrieval Augmented Generation of Clarifying Questions.
CoRR
Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas
2024 J jnl
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning.
CoRR
Maurits J. R. Bleeker, Mariya Hendriksen, Andrew Yates, Maarten de Rijke
2024 J jnl
Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning.
Trans. Mach. Learn. Res.
Maurits J. R. Bleeker, Mariya Hendriksen, Andrew Yates, Maarten de Rijke
2024 Misc conf
Distillation vs. Sampling for Efficient Training of Learning to Rank Models.
ICTIR
Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu, Maarten de Rijke, Andy D. Pimentel
2024 A* conf
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities.
EMNLP
Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates
2024 J jnl
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities.
CoRR
Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates
2024 A* conf
Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval.
SIGIR
Gabriel Bénédict, Ruqing Zhang, Donald Metzler, Andrew Yates, Ziyan Jiang
2024 — conf
IRLab-AMS at TREC'24 NeuCLIR Track.
TREC
Jia-Huei Ju, Andrew Yates
2024 J jnl
Meta-Task Prompting Elicits Embedding from Large Language Models.
CoRR
Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates
2024 — conf
Meta-Task Prompting Elicits Embeddings from Large Language Models.
ACL (1)
Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates
2024 J jnl
Multimodal Learned Sparse Retrieval for Image Suggestion.
CoRR
Thong Nguyen, Mariya Hendriksen, Andrew Yates
2024 — conf
Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control.
ECIR (2)
Thong Nguyen, Mariya Hendriksen, Andrew Yates, Maarten de Rijke
2024 J jnl
Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control.
CoRR
Thong Nguyen, Mariya Hendriksen, Andrew Yates, Maarten de Rijke
2024 A* conf
Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting.
SIGIR
Thilina Chaturanga Rajapakse, Andrew Yates, Maarten de Rijke
2024 — conf
Neural Lexical Search with Learned Sparse Retrieval.
SIGIR-AP
Andrew Yates, Carlos Lassance, Sean MacAvaney, Thong Nguyen, Yibin Lei
2024 J jnl
PARADE: Passage Representation Aggregation forDocument Reranking.
ACM Trans. Inf. Syst.
Canjia Li, Andrew Yates, Sean MacAvaney, Ben He, Yingfei Sun
2024 — conf
Representational Isomorphism and Alignment of Multilingual Large Language Models.
EMNLP (Findings)
Di Wu, Yibin Lei, Andrew Yates, Christof Monz
2024 A conf
STAR: Sparse Text Approach for Recommendation.
CIKM
Anna Tigunova, Ghazaleh Haratinezhad Torbati, Andrew Yates, Gerhard Weikum
2024 — conf
Simple Transformers: Open-source for All.
SIGIR-AP
Thilina Chaturanga Rajapakse, Andrew Yates, Maarten de Rijke
2024 A* conf
Table Question Answering for Low-resourced Indic Languages.
EMNLP
Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke
2024 J jnl
Table Question Answering for Low-resourced Indic Languages.
CoRR
Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke
2023 — conf
A Study of Term-Topic Embeddings for Ranking.
ECIR (2)
Lila Boualili, Andrew Yates
2023 — conf
A Unified Framework for Learned Sparse Retrieval.
ECIR (3)
Thong Nguyen, Sean MacAvaney, Andrew Yates
2023 J jnl
A Unified Framework for Learned Sparse Retrieval.
CoRR
Thong Nguyen, Sean MacAvaney, Andrew Yates
2023 A* conf
Adapting Learned Sparse Retrieval for Long Documents.
SIGIR
Thong Nguyen, Sean MacAvaney, Andrew Yates
2023 J jnl
Adapting Learned Sparse Retrieval for Long Documents.
CoRR
Thong Nguyen, Sean MacAvaney, Andrew Yates
2023 — conf
Counterfactual Representations for Intersectional Fair Ranking in Recruitment.
HR@RecSys
Clara Rus, Maarten de Rijke, Andrew Yates
2023 J jnl
Expert-sourcing Domain-specific Knowledge: The Case of Synonym Validation.
CoRR
Michael Unterkalmsteiner, Andrew Yates
2023 J jnl
Generative Retrieval as Dense Retrieval.
CoRR
Thong Nguyen, Andrew Yates
2023 A conf
Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping.
RecSys
Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke
2023 J jnl
Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping.
CoRR
Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke
2023 — conf
MassiveClicks: A Massively-Parallel Framework for Efficient Click Models Training.
Euro-Par Workshops (1)
Skip Thijssen, Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu
2023 — conf
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering.
ACL (1)
Vaishali Pal, Andrew Yates, Evangelos Kanoulas, Maarten de Rijke
2023 J jnl
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering.
CoRR
Vaishali Pal, Andrew Yates, Evangelos Kanoulas, Maarten de Rijke
2023 — conf
Multimodal Learned Sparse Retrieval for Image Suggestion Task.
TREC
Thong Nguyen, Mariya Hendriksen, Andrew Yates
2023 J jnl
Recommendations by Concise User Profiles from Review Text.
CoRR
Ghazaleh Haratinezhad Torbati, Anna Tigunova, Andrew Yates, Gerhard Weikum
2023 J jnl
Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval.
Trans. Mach. Learn. Res.
Maurits J. R. Bleeker, Andrew Yates, Maarten de Rijke
2023 A* conf
Repetition and Exploration in Sequential Recommendation.
SIGIR
Ming Li, Ali Vardasbi, Andrew Yates, Maarten de Rijke
2023 J jnl
Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain.
CoRR
Andrew Yates, Michael Unterkalmsteiner
2023 J jnl
Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023.
SIGIR Forum
Gabriel Bénédict, Ruqing Zhang, Donald Metzler, Andrew Yates, Romain Deffayet, Philipp Hager, Sami Jullien
2023 — conf
Search-based Recommendation: the Case for Difficult Predictions.
WWW (Companion Volume)
Ghazaleh Haratinezhad Torbati, Gerhard Weikum, Andrew Yates
2023 — conf
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training.
ACL (Findings)
Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao
2023 J jnl
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training.
CoRR
Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao
2023 J jnl
Who Will Purchase This Item Next? Reverse Next Period Recommendation in Grocery Shopping.
Trans. Recomm. Syst.
Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke
2022 J jnl
CEQE to SQET: A study of contextualized embeddings for query expansion.
Inf. Retr. J.
Shahrzad Naseri, Jeffrey Dalton, Andrew Yates, James Allan
2022 A conf
Dense Retrieval with Entity Views.
CIKM
Hai Dang Tran, Andrew Yates
2022 — conf
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires.
ACL (1)
Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, Arman Cohan
2022 J jnl
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires.
CoRR
Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, Arman Cohan
2022 J jnl
Keep the Caption Information: Preventing Shortcut Learning in Contrastive Image-Caption Retrieval.
CoRR
Maurits J. R. Bleeker, Andrew Yates, Maarten de Rijke
2022 A* conf
ParClick: A Scalable Algorithm for EM-based Click Models.
WWW
Pooya Khandel, Ilya Markov, Andrew Yates, Ana Lucia Varbanescu
2022 — conf
Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking.
ECIR (1)
Ronak Pradeep, Yuqi Liu, Xinyu Zhang, Yilin Li, Andrew Yates, Jimmy Lin
2022 A* conf
Zero-shot Query Contextualization for Conversational Search.
SIGIR
Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas
2022 J jnl
Zero-shot Query Contextualization for Conversational Search.
CoRR
Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas
2021 — conf
CEQE: Contextualized Embeddings for Query Expansion.
ECIR (1)
Shahrzad Naseri, Jeff Dalton, Andrew Yates, James Allan
2021 J jnl
CEQE: Contextualized Embeddings for Query Expansion.
CoRR
Shahrzad Naseri, Jeffrey Dalton, Andrew Yates, James Allan
2021 — conf
Comparing Score Aggregation Approaches for Document Retrieval with Pretrained Transformers.
ECIR (2)
Xinyu Zhang, Andrew Yates, Jimmy Lin
2021 J jnl
Contextualized query expansion via unsupervised chunk selection for text retrieval.
Inf. Process. Manag.
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates
2021 A* conf
DiffIR: Exploring Differences in Ranking Models' Behavior.
SIGIR
Kevin Martin Jose, Thong Nguyen, Sean MacAvaney, Jeffrey Dalton, Andrew Yates
2021 A conf
Exploring Personal Knowledge Extraction from Conversations with CHARM.
WSDM
Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum
2021 A* conf
How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset.
SIGIR
Iain Mackie, Jeffrey Dalton, Andrew Yates
2021 J jnl
How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset.
CoRR
Iain Mackie, Jeff Dalton, Andrew Yates
2021 — conf
Language Models As or For Knowledge Bases.
DL4KG@ISWC
Simon Razniewski, Andrew Yates, Nora Kassner, Gerhard Weikum
2021 J jnl
Language Models As or For Knowledge Bases.
CoRR
Simon Razniewski, Andrew Yates, Nora Kassner, Gerhard Weikum
2021 — conf
PRIDE: Predicting Relationships in Conversations.
EMNLP (1)
Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum
2021 J jnl
Personalized Entity Search by Sparse and Scrutable User Profiles.
CoRR
Ghazaleh Haratinezhad Torbati, Andrew Yates, Gerhard Weikum
2021 — book
Pretrained Transformers for Text Ranking: BERT and Beyond
Jimmy Lin, Rodrigo Nogueira, Andrew Yates
2021 A* conf
Pretrained Transformers for Text Ranking: BERT and Beyond.
SIGIR
Andrew Yates, Rodrigo Nogueira, Jimmy Lin
2021 A conf
Pretrained Transformers for Text Ranking: BERT and Beyond.
WSDM
Andrew Yates, Rodrigo Nogueira, Jimmy Lin
2021 A* conf
Simplified Data Wrangling with ir_datasets.
SIGIR
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
2021 J jnl
Simplified Data Wrangling with ir_datasets.
CoRR
Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian
2021 — conf
You Get What You Chat: Using Conversations to Personalize Search-Based Recommendations.
ECIR (1)
Ghazaleh H. Torbati, Andrew Yates, Gerhard Weikum
2021 J jnl
You Get What You Chat: Using Conversations to Personalize Search-based Recommendations.
CoRR
Ghazaleh Haratinezhad Torbati, Andrew Yates, Gerhard Weikum
2020 — conf
A Little Bit Is Worse Than None: Ranking with Limited Training Data.
SustaiNLP@EMNLP
Xinyu Zhang, Andrew Yates, Jimmy Lin
2020 — conf
BERT-QE: Contextualized Query Expansion for Document Re-ranking.
EMNLP (Findings)
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates
2020 J jnl
BERT-QE: Contextualized Query Expansion for Document Re-ranking.
CoRR
Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates
2020 — conf
CHARM: Inferring Personal Attributes from Conversations.
EMNLP (1)
Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum
2020 A conf
Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval.
WSDM
Andrew Yates, Siddhant Arora, Xinyu Zhang, Wei Yang, Kevin Martin Jose, Jimmy Lin
2020 A conf
Flexible IR Pipelines with Capreolus.
CIKM
Andrew Yates, Kevin Martin Jose, Xinyu Zhang, Jimmy Lin
2020 — conf
MPII at the NTCIR-15 WWW-3 Task.
NTCIR
Canjia Li, Andrew Yates
2020 — conf
MPII at the TREC 2020 Deep Learning Track.
TREC
Canjia Li, Andrew Yates
2020 J jnl
PARADE: Passage Representation Aggregation for Document Reranking.
CoRR
Canjia Li, Andrew Yates, Sean MacAvaney, Ben He, Yingfei Sun
2020 B conf
Personalized Entity Search by Sparse and Scrutable User Profiles.
CHIIR
Ghazaleh H. Torbati, Andrew Yates, Gerhard Weikum
2020 J jnl
Pretrained Transformers for Text Ranking: BERT and Beyond.
CoRR
Jimmy Lin, Rodrigo Nogueira, Andrew Yates
2020 B conf
RedDust: a Large Reusable Dataset of Reddit User Traits.
LREC
Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum
2019 A* conf
CEDR: Contextualized Embeddings for Document Ranking.
SIGIR
Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian
2019 J jnl
CEDR: Contextualized Embeddings for Document Ranking.
CoRR
Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian
2019 A* conf
Content-Based Weak Supervision for Ad-Hoc Re-Ranking.
SIGIR
Sean MacAvaney, Andrew Yates, Kai Hui, Ophir Frieder
2019 — conf
Expert-sourcing Domain-specific Knowledge: The Case of Synonym Validation.
REFSQ Workshops
Michael Unterkalmsteiner, Andrew Yates
2019 — conf
Investigating Retrieval Method Selection with Axiomatic Features.
AMIR@ECIR
Siddhant Arora, Andrew Yates
2019 J jnl
Investigating Retrieval Method Selection with Axiomatic Features.
CoRR
Siddhant Arora, Andrew Yates
2019 A* conf
Listening between the Lines: Learning Personal Attributes from Conversations.
WWW
Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum
2019 J jnl
Listening between the Lines: Learning Personal Attributes from Conversations.
CoRR
Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum
2019 — conf
MPII at TREC CAsT 2019: Incoporating Query Context into a BERT Re-ranker.
TREC
Samarth Mehrotra, Andrew Yates
2019 — conf
MPII at the NTCIR-14 CENTRE Task.
NTCIR
Andrew Yates
2019 — conf
MPII at the NTCIR-14 WWW-2 Task.
NTCIR
Andrew Yates
2019 J jnl
Overcoming low-utility facets for complex answer retrieval.
Inf. Retr. J.
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
2019 — conf
Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain.
ECIR (1)
Andrew Yates, Michael Unterkalmsteiner
2019 — conf
STANCY: Stance Classification Based on Consistency Cues.
EMNLP/IJCNLP (1)
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum
2019 J jnl
STANCY: Stance Classification Based on Consistency Cues.
CoRR
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum
2019 — conf
Using Multi-Sense Vector Embeddings for Reverse Dictionaries.
IWCS (1)
Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo
2019 J jnl
Using Multi-Sense Vector Embeddings for Reverse Dictionaries.
CoRR
Michael A. Hedderich, Andrew Yates, Dietrich Klakow, Gerard de Melo
2018 A* conf
Characterizing Question Facets for Complex Answer Retrieval.
SIGIR
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
2018 J jnl
Characterizing Question Facets for Complex Answer Retrieval.
CoRR
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
2018 A conf
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval.
WSDM
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
2018 A* conf
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning.
EMNLP
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum
2018 J jnl
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning.
CoRR
Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum
2018 A* conf
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval.
EMNLP
Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu
2018 J jnl
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval.
CoRR
Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu
2018 — conf
Overcoming Low-Utility Facets for Complex Answer Retrieval.
ProfS/KG4IR/Data:Search@SIGIR
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
2018 J jnl
Overcoming low-utility facets for complex answer retrieval.
CoRR
Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder
2018 — conf
PACRR Gated Expansion for TREC CAR 2018.
TREC
Sean MacAvaney, Nazli Goharian, Ophir Frieder, Andrew Yates
2018 — conf
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses.
CLPsych@NAACL-HTL
Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian
2018 J jnl
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses.
CoRR
Sean MacAvaney, Bart Desmet, Arman Cohan, Luca Soldaini, Andrew Yates, Ayah Zirikly, Nazli Goharian
2018 J jnl
SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions.
CoRR
Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian
2018 B conf
SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions.
COLING
Arman Cohan, Bart Desmet, Andrew Yates, Luca Soldaini, Sean MacAvaney, Nazli Goharian
2017 J jnl
A Position-Aware Deep Model for Relevance Matching in Information Retrieval.
CoRR
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
2017 J jnl
An Approach for Weakly-Supervised Deep Information Retrieval.
CoRR
Sean MacAvaney, Kai Hui, Andrew Yates
2017 — conf
Contextualized PACRR for Complex Answer Retrieval.
TREC
Sean MacAvaney, Andrew Yates, Kai Hui
2017 J jnl
DE-PACRR: Exploring Layers Inside the PACRR Model.
CoRR
Andrew Yates, Kai Hui
2017 A conf
Denoising Clinical Notes for Medical Literature Retrieval with Convolutional Neural Model.
CIKM
Luca Soldaini, Andrew Yates, Nazli Goharian
2017 A* conf
Depression and Self-Harm Risk Assessment in Online Forums.
EMNLP
Andrew Yates, Arman Cohan, Nazli Goharian
2017 J jnl
Depression and Self-Harm Risk Assessment in Online Forums.
CoRR
Andrew Yates, Arman Cohan, Nazli Goharian
2017 J jnl
Learning to reformulate long queries for clinical decision support.
J. Assoc. Inf. Sci. Technol.
Luca Soldaini, Andrew Yates, Nazli Goharian
2017 A* conf
PACRR: A Position-Aware Neural IR Model for Relevance Matching.
EMNLP
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
2017 — conf
Position-Aware Representations for Relevance Matching in Neural Information Retrieval.
WWW (Companion Volume)
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
2017 J jnl
RE-PACRR: A Context and Density-Aware Neural Information Retrieval Model.
CoRR
Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo
2017 J jnl
Triaging Content Severity in Online Mental Health Forums.
CoRR
Arman Cohan, Sydney Young, Andrew Yates, Nazli Goharian
2017 J jnl
Triaging content severity in online mental health forums.
J. Assoc. Inf. Sci. Technol.
Arman Cohan, Sydney Young, Andrew Yates, Nazli Goharian
2016 B conf
Effects of Sampling on Twitter Trend Detection.
LREC
Andrew Yates, Alek Kolcz, Nazli Goharian, Ophir Frieder
2016 J jnl
Enhancing web search in the medical domain via query clarification.
Inf. Retr. J.
Luca Soldaini, Andrew Yates, Elad Yom-Tov, Ophir Frieder, Nazli Goharian
2016 A conf
Learning the Relationships between Drug, Symptom, and Medical Condition Mentions in Social Media.
ICWSM
Andrew Yates, Nazli Goharian, Ophir Frieder
2016 A conf
The News Cycle's Influence on Social Media Activity.
ICWSM
Andrew Yates, Jonah Joselow, Nazli Goharian
2015 A* conf
Extracting Adverse Drug Reactions from Social Media.
AAAI
Andrew Yates, Nazli Goharian, Ophir Frieder
2015 J jnl
Health-related hypothesis generation using social media data.
Soc. Netw. Anal. Min.
Jon Parker, Andrew Yates, Nazli Goharian, Ophir Frieder
2015 A conf
Retrieving Medical Literature for Clinical Decision Support.
ECIR
Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, Ophir Frieder
2014 B conf
A Framework for Public Health Surveillance.
LREC
Andrew Yates, Jon Parker, Nazli Goharian, Ophir Frieder
2014 — conf
On clinical decision support.
BCB
Arman Cohan, Luca Soldaini, Andrew Yates, Nazli Goharian, Ophir Frieder
2014 — conf
Query Reformulation for Clinical Decision Support Search.
TREC
Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, Ophir Frieder
2014 A conf
Relevance-Ranked Domain-Specific Synonym Discovery.
ECIR
Andrew Yates, Nazli Goharian, Ophir Frieder
2014 A conf
SuperPUF: integrating heterogeneous physically unclonable functions.
ICCAD
Michael Wang, Andrew Yates, Igor L. Markov
2013 B conf
A framework for detecting public health trends with Twitter.
ASONAM
Jon Parker, Yifang Wei, Andrew Yates, Ophir Frieder, Nazli Goharian
2013 A conf
ADRTrace: Detecting Expected and Unexpected Adverse Drug Reactions from User Reviews on Social Media Sites.
ECIR
Andrew Yates, Nazli Goharian
2013 — conf
Graded relevance ranking for synonym discovery.
WWW (Companion Volume)
Andrew Yates, Nazli Goharian, Ophir Frieder
2013 — conf
Semi-supervised probabilistic sentiment analysis: Merging labeled sentences with unlabeled reviews to identify sentiment.
ASIST
Andrew Yates, Nazli Goharian, Wai Gen Yee
2013 C conf
Social media communications networks and pharmacovigilance: SequelAE-2.0.
Healthcom
Eric William Burger, Howard J. Federoff, Massimo S. Fiandaca, Ophir Frieder, Nazli Goharian, Andrew Yates
2013 A conf
Validating web content with senser.
ACSAC
Jordan Wilberding, Andrew Yates, Micah Sherr, Wenchao Zhou
2012 — conf
(Not Too) Personalized Learning to Rank for Contextual Suggestion.
TREC
Andrew Yates, Dave DeBoer, Hui Yang, Nazli Goharian, Steve Kunath, Ophir Frieder
2012 A* conf
Efficient estimation of aspect weights.
SIGIR
Jon Parker, Andrew Yates, Nazli Goharian, Wai Gen Yee
2010 A* conf
eduKEN: a tool for fine-grained video comment collection and analysis.
WWW
Wai Gen Yee, Andrew Yates, Ophir Frieder, Armin Moehrle
2009 — conf
Are Web User Comments Useful for Search?
LSDS-IR@SIGIR
Wai Gen Yee, Andrew Yates, Shizhu Liu, Ophir Frieder
2007 J jnl
Reconstruction of cell population dynamics using CFSE.
BMC Bioinform.
Andrew Yates, Cliburn Chan, Jessica Strid, Simon Moon, Robin Callard, Andrew J. T. George, Jaroslav Stark
2001 J jnl
An Approach to Modelling in Immunology.
Briefings Bioinform.
Andrew Yates, C. C. W. Chan, R. E. Callard, Andrew J. T. George, Jaroslav Stark