An Approach to Modelling in Immunology. - Andrew Yates; C. C. W. Chan; R. E. Callard; Andrew J. T. George; Jaroslav Stark (Briefings Bioinform., 2001)

Reconstruction of cell population dynamics using CFSE. - Andrew Yates; Cliburn Chan; Jessica Strid; Simon Moon; Robin Callard; Andrew J. T. George; Jaroslav Stark (BMC Bioinform., 2007)

Are Web User Comments Useful for Search? - Wai Gen Yee; Andrew Yates; Shizhu Liu; Ophir Frieder (LSDS-IR@SIGIR, 2009)

eduKEN: a tool for fine-grained video comment collection and analysis. - Wai Gen Yee; Andrew Yates; Ophir Frieder; Armin Moehrle (WWW, 2010)

Efficient estimation of aspect weights. - Jon Parker; Andrew Yates; Nazli Goharian; Wai Gen Yee (SIGIR, 2012)

(Not Too) Personalized Learning to Rank for Contextual Suggestion. - Andrew Yates; Dave DeBoer; Hui Yang 001; Nazli Goharian; Steve Kunath; Ophir Frieder (TREC, 2012)

Validating web content with senser. - Jordan Wilberding; Andrew Yates; Micah Sherr; Wenchao Zhou (ACSAC, 2013)

Semi-supervised probabilistic sentiment analysis: Merging labeled sentences with unlabeled reviews to identify sentiment. - Andrew Yates; Nazli Goharian; Wai Gen Yee (ASIST, 2013)

A framework for detecting public health trends with Twitter. - Jon Parker; Yifang Wei; Andrew Yates; Ophir Frieder; Nazli Goharian (ASONAM, 2013)

ADRTrace: Detecting Expected and Unexpected Adverse Drug Reactions from User Reviews on Social Media Sites. - Andrew Yates; Nazli Goharian (ECIR, 2013)

Social media communications networks and pharmacovigilance: SequelAE-2.0. - Eric William Burger; Howard J. Federoff; Massimo S. Fiandaca; Ophir Frieder; Nazli Goharian; Andrew Yates (Healthcom, 2013)

Graded relevance ranking for synonym discovery. - Andrew Yates; Nazli Goharian; Ophir Frieder (WWW (Companion Volume), 2013)

On clinical decision support. - Arman Cohan; Luca Soldaini; Andrew Yates; Nazli Goharian; Ophir Frieder (BCB, 2014)

Relevance-Ranked Domain-Specific Synonym Discovery. - Andrew Yates; Nazli Goharian; Ophir Frieder (ECIR, 2014)

SuperPUF: integrating heterogeneous physically unclonable functions. - Michael Wang; Andrew Yates; Igor L. Markov (ICCAD, 2014)

A Framework for Public Health Surveillance. - Andrew Yates; Jon Parker; Nazli Goharian; Ophir Frieder (LREC, 2014)

Query Reformulation for Clinical Decision Support Search. - Luca Soldaini; Arman Cohan; Andrew Yates; Nazli Goharian; Ophir Frieder (TREC, 2014)

Extracting Adverse Drug Reactions from Social Media. - Andrew Yates; Nazli Goharian; Ophir Frieder (AAAI, 2015)

Retrieving Medical Literature for Clinical Decision Support. - Luca Soldaini; Arman Cohan; Andrew Yates; Nazli Goharian; Ophir Frieder (ECIR, 2015)

Health-related hypothesis generation using social media data. - Jon Parker; Andrew Yates; Nazli Goharian; Ophir Frieder (Soc. Netw. Anal. Min., 2015)

Learning the Relationships between Drug, Symptom, and Medical Condition Mentions in Social Media. - Andrew Yates; Nazli Goharian; Ophir Frieder (ICWSM, 2016)

The News Cycle's Influence on Social Media Activity. - Andrew Yates; Jonah Joselow; Nazli Goharian (ICWSM, 2016)

Effects of Sampling on Twitter Trend Detection. - Andrew Yates; Alek Kolcz; Nazli Goharian; Ophir Frieder (LREC, 2016)

Enhancing web search in the medical domain via query clarification. - Luca Soldaini; Andrew Yates; Elad Yom-Tov; Ophir Frieder; Nazli Goharian (Inf. Retr. J., 2016)

Denoising Clinical Notes for Medical Literature Retrieval with Convolutional Neural Model. - Luca Soldaini; Andrew Yates; Nazli Goharian (CIKM, 2017)

PACRR: A Position-Aware Neural IR Model for Relevance Matching. - Kai Hui 001; Andrew Yates; Klaus Berberich; Gerard de Melo (EMNLP, 2017)

Depression and Self-Harm Risk Assessment in Online Forums. - Andrew Yates; Arman Cohan; Nazli Goharian (EMNLP, 2017)

Contextualized PACRR for Complex Answer Retrieval. - Sean MacAvaney; Andrew Yates; Kai Hui 001 (TREC, 2017)

Position-Aware Representations for Relevance Matching in Neural Information Retrieval. - Kai Hui 001; Andrew Yates; Klaus Berberich; Gerard de Melo (WWW (Companion Volume), 2017)

A Position-Aware Deep Model for Relevance Matching in Information Retrieval. - Kai Hui 001; Andrew Yates; Klaus Berberich; Gerard de Melo (CoRR, 2017)

RE-PACRR: A Context and Density-Aware Neural Information Retrieval Model. - Kai Hui 001; Andrew Yates; Klaus Berberich; Gerard de Melo (CoRR, 2017)

An Approach for Weakly-Supervised Deep Information Retrieval. - Sean MacAvaney; Kai Hui 001; Andrew Yates (CoRR, 2017)

DE-PACRR: Exploring Layers Inside the PACRR Model. - Andrew Yates; Kai Hui 001 (CoRR, 2017)

Triaging content severity in online mental health forums. - Arman Cohan; Sydney Young; Andrew Yates; Nazli Goharian (J. Assoc. Inf. Sci. Technol., 2017)

Learning to reformulate long queries for clinical decision support. - Luca Soldaini; Andrew Yates; Nazli Goharian (J. Assoc. Inf. Sci. Technol., 2017)

RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses. - Sean MacAvaney; Bart Desmet; Arman Cohan; Luca Soldaini; Andrew Yates; Ayah Zirikly; Nazli Goharian (CLPsych@NAACL-HTL, 2018)

SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions. - Arman Cohan; Bart Desmet; Andrew Yates; Luca Soldaini; Sean MacAvaney; Nazli Goharian (COLING, 2018)

NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. - Canjia Li; Yingfei Sun; Ben He; Le Wang; Kai Hui 001; Andrew Yates; Le Sun 001; Jungang Xu (EMNLP, 2018)

DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning. - Kashyap Popat; Subhabrata Mukherjee; Andrew Yates; Gerhard Weikum (EMNLP, 2018)

Characterizing Question Facets for Complex Answer Retrieval. - Sean MacAvaney; Andrew Yates; Arman Cohan; Luca Soldaini; Kai Hui 001; Nazli Goharian; Ophir Frieder (SIGIR, 2018)

PACRR Gated Expansion for TREC CAR 2018. - Sean MacAvaney; Nazli Goharian; Ophir Frieder; Andrew Yates (TREC, 2018)

Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval. - Kai Hui 001; Andrew Yates; Klaus Berberich; Gerard de Melo (WSDM, 2018)

Investigating Retrieval Method Selection with Axiomatic Features. - Siddhant Arora; Andrew Yates (AMIR@ECIR, 2019)

Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain. - Andrew Yates; Michael Unterkalmsteiner (ECIR (1), 2019)

STANCY: Stance Classification Based on Consistency Cues. - Kashyap Popat; Subhabrata Mukherjee; Andrew Yates; Gerhard Weikum (EMNLP/IJCNLP (1), 2019)

Using Multi-Sense Vector Embeddings for Reverse Dictionaries. - Michael A. Hedderich; Andrew Yates; Dietrich Klakow; Gerard de Melo (IWCS (1), 2019)

MPII at the NTCIR-14 WWW-2 Task. - Andrew Yates (NTCIR, 2019)

MPII at the NTCIR-14 CENTRE Task. - Andrew Yates (NTCIR, 2019)

Expert-sourcing Domain-specific Knowledge: The Case of Synonym Validation. - Michael Unterkalmsteiner; Andrew Yates (REFSQ Workshops, 2019)

CEDR: Contextualized Embeddings for Document Ranking. - Sean MacAvaney; Andrew Yates; Arman Cohan; Nazli Goharian (SIGIR, 2019)

Content-Based Weak Supervision for Ad-Hoc Re-Ranking. - Sean MacAvaney; Andrew Yates; Kai Hui 001; Ophir Frieder (SIGIR, 2019)

MPII at TREC CAsT 2019: Incoporating Query Context into a BERT Re-ranker. - Samarth Mehrotra; Andrew Yates (TREC, 2019)

Listening between the Lines: Learning Personal Attributes from Conversations. - Anna Tigunova; Andrew Yates; Paramita Mirza; Gerhard Weikum (WWW, 2019)

Overcoming low-utility facets for complex answer retrieval. - Sean MacAvaney; Andrew Yates; Arman Cohan; Luca Soldaini; Kai Hui 001; Nazli Goharian; Ophir Frieder (Inf. Retr. J., 2019)

Personalized Entity Search by Sparse and Scrutable User Profiles. - Ghazaleh H. Torbati; Andrew Yates; Gerhard Weikum (CHIIR, 2020)

Flexible IR Pipelines with Capreolus. - Andrew Yates; Kevin Martin Jose; Xinyu Zhang 018; Jimmy Lin (CIKM, 2020)

CHARM: Inferring Personal Attributes from Conversations. - Anna Tigunova; Andrew Yates; Paramita Mirza; Gerhard Weikum (EMNLP (1), 2020)

A Little Bit Is Worse Than None: Ranking with Limited Training Data. - Xinyu Zhang 018; Andrew Yates; Jimmy Lin (SustaiNLP@EMNLP, 2020)

BERT-QE: Contextualized Query Expansion for Document Re-ranking. - Zhi Zheng; Kai Hui 001; Ben He; Xianpei Han; Le Sun 001; Andrew Yates (EMNLP (Findings), 2020)

RedDust: a Large Reusable Dataset of Reddit User Traits. - Anna Tigunova; Paramita Mirza; Andrew Yates; Gerhard Weikum (LREC, 2020)

MPII at the NTCIR-15 WWW-3 Task. - Canjia Li; Andrew Yates (NTCIR, 2020)

MPII at the TREC 2020 Deep Learning Track. - Canjia Li; Andrew Yates (TREC, 2020)

Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval. - Andrew Yates; Siddhant Arora; Xinyu Zhang 018; Wei Yang 017; Kevin Martin Jose; Jimmy Lin (WSDM, 2020)

PARADE: Passage Representation Aggregation for Document Reranking. - Canjia Li; Andrew Yates; Sean MacAvaney; Ben He; Yingfei Sun (CoRR, 2020)

Language Models As or For Knowledge Bases. - Simon Razniewski; Andrew Yates; Nora Kassner; Gerhard Weikum (DL4KG@ISWC, 2021)

CEQE: Contextualized Embeddings for Query Expansion. - Shahrzad Naseri; Jeff Dalton 001; Andrew Yates; James Allan (ECIR (1), 2021)

You Get What You Chat: Using Conversations to Personalize Search-Based Recommendations. - Ghazaleh H. Torbati; Andrew Yates; Gerhard Weikum (ECIR (1), 2021)

Comparing Score Aggregation Approaches for Document Retrieval with Pretrained Transformers. - Xinyu Zhang 018; Andrew Yates; Jimmy Lin (ECIR (2), 2021)

PRIDE: Predicting Relationships in Conversations. - Anna Tigunova; Paramita Mirza; Andrew Yates; Gerhard Weikum (EMNLP (1), 2021)

DiffIR: Exploring Differences in Ranking Models' Behavior. - Kevin Martin Jose; Thong Nguyen 004; Sean MacAvaney; Jeffrey Dalton 001; Andrew Yates (SIGIR, 2021)

Simplified Data Wrangling with ir_datasets. - Sean MacAvaney; Andrew Yates; Sergey Feldman; Doug Downey; Arman Cohan; Nazli Goharian (SIGIR, 2021)

How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. - Iain Mackie; Jeffrey Dalton 001; Andrew Yates (SIGIR, 2021)

Pretrained Transformers for Text Ranking: BERT and Beyond. - Andrew Yates; Rodrigo Nogueira 001; Jimmy Lin (SIGIR, 2021)

Exploring Personal Knowledge Extraction from Conversations with CHARM. - Anna Tigunova; Paramita Mirza; Andrew Yates; Gerhard Weikum (WSDM, 2021)

Contextualized query expansion via unsupervised chunk selection for text retrieval. - Zhi Zheng; Kai Hui 001; Ben He; Xianpei Han; Le Sun 001; Andrew Yates (Inf. Process. Manag., 2021)

Pretrained Transformers for Text Ranking: BERT and Beyond - Jimmy Lin; Rodrigo Nogueira 001; Andrew Yates (Morgan & Claypool Publishers, 2021)

Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires. - Thong Nguyen 004; Andrew Yates; Ayah Zirikly; Bart Desmet; Arman Cohan (ACL (1), 2022)

Dense Retrieval with Entity Views. - Hai Dang Tran; Andrew Yates (CIKM, 2022)

Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking. - Ronak Pradeep; Yuqi Liu; Xinyu Zhang 018; Yilin Li; Andrew Yates; Jimmy Lin (ECIR (1), 2022)

Zero-shot Query Contextualization for Conversational Search. - Antonios Minas Krasakis; Andrew Yates; Evangelos Kanoulas (SIGIR, 2022)

ParClick: A Scalable Algorithm for EM-based Click Models. - Pooya Khandel; Ilya Markov; Andrew Yates; Ana Lucia Varbanescu (WWW, 2022)

Keep the Caption Information: Preventing Shortcut Learning in Contrastive Image-Caption Retrieval. - Maurits J. R. Bleeker; Andrew Yates; Maarten de Rijke (CoRR, 2022)

CEQE to SQET: A study of contextualized embeddings for query expansion. - Shahrzad Naseri; Jeffrey Dalton 001; Andrew Yates; James Allan (Inf. Retr. J., 2022)

Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. - Yibin Lei; Liang Ding 006; Yu Cao 014; Changtong Zan; Andrew Yates; Dacheng Tao (ACL (Findings), 2023)

MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering. - Vaishali Pal; Andrew Yates; Evangelos Kanoulas; Maarten de Rijke (ACL (1), 2023)

A Study of Term-Topic Embeddings for Ranking. - Lila Boualili; Andrew Yates (ECIR (2), 2023)

A Unified Framework for Learned Sparse Retrieval. - Thong Nguyen 004; Sean MacAvaney; Andrew Yates (ECIR (3), 2023)

MassiveClicks: A Massively-Parallel Framework for Efficient Click Models Training. - Skip Thijssen; Pooya Khandel; Andrew Yates; Ana Lucia Varbanescu (Euro-Par Workshops (1), 2023)

Counterfactual Representations for Intersectional Fair Ranking in Recruitment. - Clara Rus; Maarten de Rijke; Andrew Yates (HR@RecSys, 2023)

Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping. - Ming Li 068; Mozhdeh Ariannezhad; Andrew Yates; Maarten de Rijke (RecSys, 2023)

Repetition and Exploration in Sequential Recommendation. - Ming Li 068; Ali Vardasbi; Andrew Yates; Maarten de Rijke (SIGIR, 2023)

Adapting Learned Sparse Retrieval for Long Documents. - Thong Nguyen 004; Sean MacAvaney; Andrew Yates (SIGIR, 2023)

Multimodal Learned Sparse Retrieval for Image Suggestion Task. - Thong Nguyen 004; Mariya Hendriksen; Andrew Yates (TREC, 2023)

Search-based Recommendation: the Case for Difficult Predictions. - Ghazaleh Haratinezhad Torbati; Gerhard Weikum; Andrew Yates (WWW (Companion Volume), 2023)

Generative Retrieval as Dense Retrieval. - Thong Nguyen 004; Andrew Yates (CoRR, 2023)

Recommendations by Concise User Profiles from Review Text. - Ghazaleh Haratinezhad Torbati; Anna Tigunova; Andrew Yates; Gerhard Weikum (CoRR, 2023)

Reducing Predictive Feature Suppression in Resource-Constrained Contrastive Image-Caption Retrieval. - Maurits J. R. Bleeker; Andrew Yates; Maarten de Rijke (Trans. Mach. Learn. Res., 2023)

Who Will Purchase This Item Next? Reverse Next Period Recommendation in Grocery Shopping. - Ming Li 068; Mozhdeh Ariannezhad; Andrew Yates; Maarten de Rijke (Trans. Recomm. Syst., 2023)

Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023. - Gabriel Bénédict; Ruqing Zhang 001; Donald Metzler; Andrew Yates; Romain Deffayet; Philipp Hager; Sami Jullien (SIGIR Forum, 2023)

Meta-Task Prompting Elicits Embeddings from Large Language Models. - Yibin Lei; Di Wu; Tianyi Zhou 001; Tao Shen 001; Yu Cao 014; Chongyang Tao; Andrew Yates (ACL (1), 2024)

AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings. - Clara Rus; Gabrielle Poerwawinata; Andrew Yates; Maarten de Rijke (CIKM, 2024)

STAR: Sparse Text Approach for Recommendation. - Anna Tigunova; Ghazaleh Haratinezhad Torbati; Andrew Yates; Gerhard Weikum (CIKM, 2024)

Corpus-Steered Query Expansion with Large Language Models. - Yibin Lei; Yu Cao 014; Tianyi Zhou 001; Tao Shen 001; Andrew Yates (EACL (2), 2024)

Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control. - Thong Nguyen 004; Mariya Hendriksen; Andrew Yates; Maarten de Rijke (ECIR (2), 2024)

A Study of Pre-processing Fairness Intervention Methods for Ranking People. - Clara Rus; Andrew Yates; Maarten de Rijke (ECIR (4), 2024)

Conversational Search with Tail Entities. - Hai Dang Tran; Andrew Yates; Gerhard Weikum (ECIR (2), 2024)

DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities. - Thong Nguyen 004; Shubham Chatterjee; Sean MacAvaney; Iain Mackie; Jeff Dalton 001; Andrew Yates (EMNLP, 2024)

Table Question Answering for Low-resourced Indic Languages. - Vaishali Pal; Evangelos Kanoulas; Andrew Yates; Maarten de Rijke (EMNLP, 2024)

Representational Isomorphism and Alignment of Multilingual Large Language Models. - Di Wu; Yibin Lei; Andrew Yates; Christof Monz (EMNLP (Findings), 2024)

Distillation vs. Sampling for Efficient Training of Learning to Rank Models. - Pooya Khandel; Andrew Yates; Ana Lucia Varbanescu; Maarten de Rijke; Andy D. Pimentel (ICTIR, 2024)

Simple Transformers: Open-source for All. - Thilina Chaturanga Rajapakse; Andrew Yates; Maarten de Rijke (SIGIR-AP, 2024)

Neural Lexical Search with Learned Sparse Retrieval. - Andrew Yates; Carlos Lassance; Sean MacAvaney; Thong Nguyen 004; Yibin Lei (SIGIR-AP, 2024)

Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval. - Gabriel Bénédict; Ruqing Zhang 001; Donald Metzler; Andrew Yates; Ziyan Jiang (SIGIR, 2024)

Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? - Ming Li 068; Yuanna Liu; Sami Jullien; Mozhdeh Ariannezhad; Andrew Yates; Mohammad Aliannejadi; Maarten de Rijke (SIGIR, 2024)

Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting. - Thilina Chaturanga Rajapakse; Andrew Yates; Maarten de Rijke (SIGIR, 2024)

Multimodal Learned Sparse Retrieval for Image Suggestion. - Thong Nguyen 004; Mariya Hendriksen; Andrew Yates (CoRR, 2024)

Meta-Task Prompting Elicits Embedding from Large Language Models. - Yibin Lei; Di Wu; Tianyi Zhou 001; Tao Shen 001; Yu Cao 014; Chongyang Tao; Andrew Yates (CoRR, 2024)

Corpus-informed Retrieval Augmented Generation of Clarifying Questions. - Antonios Minas Krasakis; Andrew Yates; Evangelos Kanoulas (CoRR, 2024)

Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning. - Maurits J. R. Bleeker; Mariya Hendriksen; Andrew Yates; Maarten de Rijke (Trans. Mach. Learn. Res., 2024)

PARADE: Passage Representation Aggregation forDocument Reranking. - Canjia Li; Andrew Yates; Sean MacAvaney; Ben He; Yingfei Sun (ACM Trans. Inf. Syst., 2024)

Contextualizing and Expanding Conversational Queries without Supervision. - Antonios Minas Krasakis; Andrew Yates; Evangelos Kanoulas (ACM Trans. Inf. Syst., 2024)

Enhancing Lexicon-Based Text Embeddings with Large Language Models. - Yibin Lei; Tao Shen 001; Yu Cao 014; Andrew Yates (ACL (1), 2025)

Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval. - Arun Reddy; Alexander Martin 006; Eugene Yang; Andrew Yates; Kate Sanders 002; Kenton Murray; Reno Kriz; Celso M. de Melo; Benjamin Van Durme; Rama Chellappa (CVPR, 2025)

PEIR: Modeling Performance in Neural Information Retrieval. - Pooya Khandel; Andrew Yates; Ana Lucia Varbanescu; Maarten de Rijke; Andy D. Pimentel (ECIR (2), 2025)

CUP: A Framework for Resource-Efficient Review-Based Recommenders. - Ghazaleh H. Torbati; Anna Tigunova; Gerhard Weikum; Andrew Yates (ECIR (2), 2025)

Efficient and Effective Conversational Search with Tail Entity Selection. - Hai Dang Tran; Andrew Yates; Gerhard Weikum (ECIR (3), 2025)

A Reproducibility Study of LLM Setwise Reranker with Heapsort. - Dawn J. Lawrie; Efsun Kayi; James Mayfield; Eugene Yang; Andrew Yates; Douglas W. Oard (SIGIR, 2025)

Effective Inference-Free Retrieval for Learned Sparse Representations. - Franco Maria Nardini; Thong Nguyen 004; Cosimo Rulli; Rossano Venturini; Andrew Yates (SIGIR, 2025)

Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction. - Jingfen Qiao; Jia-Huei Ju; Xinyu Ma; Evangelos Kanoulas; Andrew Yates (SIGIR, 2025)

MMMORRF: Multimodal Multilingual MOdularized Reciprocal Rank Fusion. - Saron Samuel; Dan DeGenaro; Jimena Guallar-Blasco; Kate Sanders 002; Seun Eisape; Arun Reddy; Alexander Martin 006; Andrew Yates; Eugene Yang; Cameron Carpenter; David Etter; Efsun Kayi; et al. (SIGIR, 2025)

Neural Lexical Search with Learned Sparse Retrieval. - Andrew Yates; Carlos Lassance; Cosimo Rulli; Eugene Yang; Sean MacAvaney; Siddharth A. K. Singh; Thong Nguyen 004; Yibin Lei (SIGIR, 2025)

Constructing Set-Compositional and Negated Representations for First-Stage Ranking. - Antonios Minas Krasakis; Andrew Yates; Evangelos Kanoulas (CoRR, 2025)

Rank1: Test-Time Compute for Reranking in Information Retrieval. - Orion Weller; Kathryn Ricci; Eugene Yang; Andrew Yates; Dawn J. Lawrie; Benjamin Van Durme (CoRR, 2025)

Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval. - Arun V. Reddy; Alexander Martin 006; Eugene Yang; Andrew Yates; Kate Sanders 002; Kenton Murray; Reno Kriz; Celso M. de Melo; Benjamin Van Durme; Rama Chellappa (CoRR, 2025)

Leveraging Decoder Architectures for Learned Sparse Retrieval. - Jingfen Qiao; Thong Nguyen 004; Evangelos Kanoulas; Andrew Yates (CoRR, 2025)

Rank-K: Test-Time Reasoning for Listwise Reranking. - Eugene Yang; Andrew Yates; Kathryn Ricci; Orion Weller; Vivek Chari; Benjamin Van Durme; Dawn J. Lawrie (CoRR, 2025)

ThinkQE: Query Expansion via an Evolving Thinking Process. - Yibin Lei; Tao Shen 001; Andrew Yates (CoRR, 2025)

Controlled Retrieval-augmented Context Evaluation for Long-form RAG. - Jia-Huei Ju; Suzan Verberne; Maarten de Rijke; Andrew Yates (CoRR, 2025)

HLTCOE at LiveRAG: GPT-Researcher using ColBERT retrieval. - Kevin Duh; Eugene Yang; Orion Weller; Andrew Yates; Dawn J. Lawrie (CoRR, 2025)