Andrew Yates
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
114
Venues
21
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
114 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Making Large Language Models Efficient Dense Retrievers. | Yibin Lei, Shwai He, Ang Li, Andrew Yates |
| 2026 | ACL | CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data. | Pedro Ortiz Suarez, Laurie Burchell, Catherine Arnett, Rafael Mosquera, Sara Hincapi Monsalve, Thom Vaughan, Damian Stewart, Malte Ostendorff, Idris Abdulmumin, Vukosi Marivate, Shamsuddeen Hassan Muhammad, Atnafu Lambebo Tonja, Hend Al-Khalifa, Nadia Ghezaiel Hammouda, Verrah Akinyi Otiende, Tack Hwa Wong, Jakhongir Saydaliev, Melika Nobakhtian, Muhammad Ravi Shulthan Habibi, Kranti Chalamalasetti, Carol Muchemi, Khang Nguyen, Faisal Muhammad Adam, Luis Frentzen Salim, Reem Alqifari, Cynthia Jayne 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 Martnez, 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 Oluwadara Alabi, Srikant Panda, Yassine Toughrai, Bruhan Kyomuhendo, Daniel Ruffinelli, Akshata A, Manuel Goulo, Ej Zhou, Ingrid Gabriela Franco Ramirez, Cristina Aggazzotti, Konstantin Dobler, Jun Kevin, Quentin Pags, Nicholas Andrews, Nuhu Ibrahim, Mattes Ruckdeschel, Amr Keleg, Mike Zhang, Casper Rufaro Muziri, Saron Samuel, Sotaro Takeshita, Kun Kerdthaisong, Luca Foppiano, Rasul Dent, Tommaso Green, Ahmad Mustapha Wali, Kamohelo Makaaka, Vicky Feliren, Inshirah Idris, Hande elikkanat, Abdulhamid Abubakar, Jean Maillard, Benot Sagot, Thibault Clrice, Kenton Murray, Sarah K. K. Luger |
| 2026 | ECIR | FACTUM: Mechanistic Detection of Citation Hallucination in Long-Form RAG. | Maxime Dassen, Rebecca Kotula, Kenton Murray, Andrew Yates, Dawn J. Lawrie, Efsun Selin Kayi, James Mayfield, Kevin Duh |
| 2026 | ECIR | LANCER: LLM Reranking for Nugget Coverage. | Jia-Huei Ju, Franois G. Landry, Eugene Yang, Suzan Verberne, Andrew Yates |
| 2026 | ECIR | To Case or Not to Case: An Empirical Study in Learned Sparse Retrieval. | Emmanouil Georgios Lionis, Jia-Huei Ju, Angelos Nalmpantis, Casper Thuis, Sean MacAvaney, Andrew Yates |
| 2026 | ECIR | Revisiting Human-vs-LLM Judgments Using the TREC Podcast Track. | Watheq Mansour, J. Shane Culpepper, Joel Mackenzie, Andrew Yates |
| 2026 | ECIR | LLM-Based Listwise Reranking Under the Effect of Positional Bias. | Jingfen Qiao, Jin Huang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Evangelos Kanoulas, Andrew Yates |
| 2026 | ECIR | Joint Modeling of Candidate and Recruiter Preferences for Fair Two-Sided Job Matching. | Clara Rus, Masoud Mansoury, Andrew Yates, Maarten de Rijke |
| 2026 | ECIR | Judiciously Reducing Sub-group Comparisons for Learning Intersectional Fair Representations. | Clara Rus, Andrew Yates, Maarten de Rijke |
| 2026 | ECIR | RoutIR: Fast Serving of Retrieval Pipelines for Retrieval-Augmented Generation. | Eugene Yang, Andrew Yates, Dawn J. Lawrie, James Mayfield, Trevor Adriaanse |
| 2026 | ECIR | Neural Lexical Search with Learned Sparse Retrieval. | Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei |
| 2026 | ICTIR | Beyond Relevance: On the Relationship Between Retrieval and RAG Information Coverage. | Saron Samuel, Alexander Martin, Eugene Yang, Andrew Yates, Dawn Lawrie, Ian Soboroff, Laura Dietz, Benjamin Van Durme |
| 2026 | SIGIR | Topic-Specific Classifiers are Better Relevance Judges than Prompted LLMs. | Lukas Gienapp, Martin Potthast, Andrew Yates, Harrisen Scells, Eugene Yang |
| 2026 | SIGIR | Search for Coverage: Learning Coverage-Aware Retrieval with Augmented Sub-Question Answerability. | Jia-Huei Ju, Eugene Yang, Trevor Adriaanse, Suzan Verberne, Andrew Yates |
| 2026 | SIGIR | HALO: Hyperbolic Adaptation via Lift Overlay for Hierarchy-Aware Cross-Modal Retrieval. | Teng Long, Andrew Yates |
| 2026 | SIGIR | How Variability Influences Podcast Search: Queries, Transcriptions, and Judges. | Watheq Mansour, J. Shane Culpepper, Andrew Yates, Joel Mackenzie |
| 2026 | SIGIR | Sparton: Fast and Memory-Efficient Triton Kernel for Learned Sparse Retrieval. | Thong Nguyen, Cosimo Rulli, Franco Maria Nardini, Rossano Venturini, Andrew Yates |
| 2026 | SIGIR | Better than Dense? Investigating the Natural Backward Compatibility of Learned Sparse Representations. | Jingfen Qiao, Gabrielle Poerwawinata, Thong Nguyen, Jia-Huei Ju, Eugene Yang, Evangelos Kanoulas, Andrew Yates |
| 2026 | SIGIR | CoverageBench: Evaluating Information Coverage across Tasks and Domains. | Saron Samuel, Andrew Yates, Dawn J. Lawrie, Ian Soboroff, Trevor Adriaanse, Benjamin Van Durme, Eugene Yang |
| 2026 | SIGIR | Clustering-Based Methods for Vector-Based Pseudo-Relevance Feedback. | Xavier Velez, Andrew Yates, Eugene Yang, Trevor Adriaanse, Sanjeev Khudanpur |
| 2026 | SIGIR | ColBERTSaR: Sparsified ColBERT Index via Product Quantization. | Eugene Yang, Andrew Yates, Dawn J. Lawrie, James Mayfield, Saron Samuel, Rohan Jha |
| 2026 | WSDM | WSDM CUP 2026: Multilingual Retrieval. | Dawn J. Lawrie, Sean MacAvaney, James Mayfield, Luca Soldaini, Eugene Yang, Andrew Yates |
| 2025 | ACL | Enhancing Lexicon-Based Text Embeddings with Large Language Models. | Yibin Lei, Tao Shen, Yu Cao, Andrew Yates |
| 2025 | CIKM | Constructing Set-Compositional and Negated Representations for First-Stage Ranking. | Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas |
| 2025 | CVPR | Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval. | 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 | ECIR | PEIR: Modeling Performance in Neural Information Retrieval. | Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu, Maarten de Rijke, Andy D. Pimentel |
| 2025 | ECIR | CUP: A Framework for Resource-Efficient Review-Based Recommenders. | Ghazaleh H. Torbati, Anna Tigunova, Gerhard Weikum, Andrew Yates |
| 2025 | ECIR | Efficient and Effective Conversational Search with Tail Entity Selection. | Hai Dang Tran, Andrew Yates, Gerhard Weikum |
| 2025 | EMNLP | Controlled Retrieval-augmented Context Evaluation for Long-form RAG. | Jia-Huei Ju, Suzan Verberne, Maarten de Rijke, Andrew Yates |
| 2025 | EMNLP | ThinkQE: Query Expansion via an Evolving Thinking Process. | Yibin Lei, Tao Shen, Andrew Yates |
| 2025 | EMNLP | SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models. | Thong Nguyen, Yibin Lei, Jia-Huei Ju, Andrew Yates |
| 2025 | ICTIR | Zero-Shot and Hybrid Strategies for Tetun Ad-Hoc Text Retrieval. | Gabriel de Jesus, Siddharth A. K. Singh, Srgio Nunes, Andrew Yates |
| 2025 | SIGIR | A Reproducibility Study of LLM Setwise Reranker with Heapsort. | Dawn J. Lawrie, Efsun Selin Kayi, James Mayfield, Eugene Yang, Andrew Yates, Douglas W. Oard |
| 2025 | SIGIR | Effective Inference-Free Retrieval for Learned Sparse Representations. | Franco Maria Nardini, Thong Nguyen, Cosimo Rulli, Rossano Venturini, Andrew Yates |
| 2025 | SIGIR | Reproducibility, Replicability, and Insights into Visual Document Retrieval with Late Interaction. | Jingfen Qiao, Jia-Huei Ju, Xinyu Ma, Evangelos Kanoulas, Andrew Yates |
| 2025 | SIGIR | MMMORRF: Multimodal Multilingual MOdularized Reciprocal Rank Fusion. | 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 | SIGIR | Neural Lexical Search with Learned Sparse Retrieval. | Andrew Yates, Carlos Lassance, Cosimo Rulli, Eugene Yang, Sean MacAvaney, Siddharth A. K. Singh, Thong Nguyen, Yibin Lei |
| 2024 | ACL | Meta-Task Prompting Elicits Embeddings from Large Language Models. | Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates |
| 2024 | CIKM | AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings. | Clara Rus, Gabrielle Poerwawinata, Andrew Yates, Maarten de Rijke |
| 2024 | CIKM | STAR: Sparse Text Approach for Recommendation. | Anna Tigunova, Ghazaleh Haratinezhad Torbati, Andrew Yates, Gerhard Weikum |
| 2024 | EACL | Corpus-Steered Query Expansion with Large Language Models. | Yibin Lei, Yu Cao, Tianyi Zhou, Tao Shen, Andrew Yates |
| 2024 | ECIR | Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control. | Thong Nguyen, Mariya Hendriksen, Andrew Yates, Maarten de Rijke |
| 2024 | ECIR | A Study of Pre-processing Fairness Intervention Methods for Ranking People. | Clara Rus, Andrew Yates, Maarten de Rijke |
| 2024 | ECIR | Conversational Search with Tail Entities. | Hai Dang Tran, Andrew Yates, Gerhard Weikum |
| 2024 | EMNLP | DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities. | Thong Nguyen, Shubham Chatterjee, Sean MacAvaney, Iain Mackie, Jeff Dalton, Andrew Yates |
| 2024 | EMNLP | Table Question Answering for Low-resourced Indic Languages. | Vaishali Pal, Evangelos Kanoulas, Andrew Yates, Maarten de Rijke |
| 2024 | EMNLP | Representational Isomorphism and Alignment of Multilingual Large Language Models. | Di Wu, Yibin Lei, Andrew Yates, Christof Monz |
| 2024 | ICTIR | Distillation vs. Sampling for Efficient Training of Learning to Rank Models. | Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu, Maarten de Rijke, Andy D. Pimentel |
| 2024 | SIGIR | Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval. | Gabriel Bndict, Ruqing Zhang, Donald Metzler, Andrew Yates, Ziyan Jiang |
| 2024 | SIGIR | Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation? | Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Andrew Yates, Mohammad Aliannejadi, Maarten de Rijke |
| 2024 | SIGIR | Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting. | Thilina Chaturanga Rajapakse, Andrew Yates, Maarten de Rijke |
| 2023 | ACL | Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training. | Yibin Lei, Liang Ding, Yu Cao, Changtong Zan, Andrew Yates, Dacheng Tao |
| 2023 | ACL | MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering. | Vaishali Pal, Andrew Yates, Evangelos Kanoulas, Maarten de Rijke |
| 2023 | ECIR | A Study of Term-Topic Embeddings for Ranking. | Lila Boualili, Andrew Yates |
| 2023 | ECIR | A Unified Framework for Learned Sparse Retrieval. | Thong Nguyen, Sean MacAvaney, Andrew Yates |
| 2023 | EuroPar | MassiveClicks: A Massively-Parallel Framework for Efficient Click Models Training. | Skip Thijssen, Pooya Khandel, Andrew Yates, Ana Lucia Varbanescu |
| 2023 | RecSys | Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping. | Ming Li, Mozhdeh Ariannezhad, Andrew Yates, Maarten de Rijke |
| 2023 | WWW | Search-based Recommendation: the Case for Difficult Predictions. | Ghazaleh Haratinezhad Torbati, Gerhard Weikum, Andrew Yates |
| 2023 | SIGIR | Repetition and Exploration in Sequential Recommendation. | Ming Li, Ali Vardasbi, Andrew Yates, Maarten de Rijke |
| 2023 | SIGIR | Adapting Learned Sparse Retrieval for Long Documents. | Thong Nguyen, Sean MacAvaney, Andrew Yates |
| 2022 | ACL | Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires. | Thong Nguyen, Andrew Yates, Ayah Zirikly, Bart Desmet, Arman Cohan |
| 2022 | CIKM | Dense Retrieval with Entity Views. | Hai Dang Tran, Andrew Yates |
| 2022 | ECIR | Squeezing Water from a Stone: A Bag of Tricks for Further Improving Cross-Encoder Effectiveness for Reranking. | Ronak Pradeep, Yuqi Liu, Xinyu Zhang, Yilin Li, Andrew Yates, Jimmy Lin |
| 2022 | WWW | ParClick: A Scalable Algorithm for EM-based Click Models. | Pooya Khandel, Ilya Markov, Andrew Yates, Ana Lucia Varbanescu |
| 2022 | SIGIR | Zero-shot Query Contextualization for Conversational Search. | Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas |
| 2021 | ECIR | CEQE: Contextualized Embeddings for Query Expansion. | Shahrzad Naseri, Jeff Dalton, Andrew Yates, James Allan |
| 2021 | ECIR | You Get What You Chat: Using Conversations to Personalize Search-Based Recommendations. | Ghazaleh H. Torbati, Andrew Yates, Gerhard Weikum |
| 2021 | ECIR | Comparing Score Aggregation Approaches for Document Retrieval with Pretrained Transformers. | Xinyu Zhang, Andrew Yates, Jimmy Lin |
| 2021 | EMNLP | PRIDE: Predicting Relationships in Conversations. | Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum |
| 2021 | SIGIR | DiffIR: Exploring Differences in Ranking Models' Behavior. | Kevin Martin Jose, Thong Nguyen, Sean MacAvaney, Jeffrey Dalton, Andrew Yates |
| 2021 | SIGIR | Simplified Data Wrangling with ir_datasets. | Sean MacAvaney, Andrew Yates, Sergey Feldman, Doug Downey, Arman Cohan, Nazli Goharian |
| 2021 | SIGIR | How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset. | Iain Mackie, Jeffrey Dalton, Andrew Yates |
| 2021 | SIGIR | Pretrained Transformers for Text Ranking: BERT and Beyond. | Andrew Yates, Rodrigo Nogueira, Jimmy Lin |
| 2021 | WSDM | Exploring Personal Knowledge Extraction from Conversations with CHARM. | Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum |
| 2021 | WSDM | Pretrained Transformers for Text Ranking: BERT and Beyond. | Andrew Yates, Rodrigo Nogueira, Jimmy Lin |
| 2020 | CHIIR | Personalized Entity Search by Sparse and Scrutable User Profiles. | Ghazaleh H. Torbati, Andrew Yates, Gerhard Weikum |
| 2020 | CIKM | Flexible IR Pipelines with Capreolus. | Andrew Yates, Kevin Martin Jose, Xinyu Zhang, Jimmy Lin |
| 2020 | EMNLP | CHARM: Inferring Personal Attributes from Conversations. | Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum |
| 2020 | EMNLP | A Little Bit Is Worse Than None: Ranking with Limited Training Data. | Xinyu Zhang, Andrew Yates, Jimmy Lin |
| 2020 | EMNLP | BERT-QE: Contextualized Query Expansion for Document Re-ranking. | Zhi Zheng, Kai Hui, Ben He, Xianpei Han, Le Sun, Andrew Yates |
| 2020 | LREC | RedDust: a Large Reusable Dataset of Reddit User Traits. | Anna Tigunova, Paramita Mirza, Andrew Yates, Gerhard Weikum |
| 2020 | WSDM | Capreolus: A Toolkit for End-to-End Neural Ad Hoc Retrieval. | Andrew Yates, Siddhant Arora, Xinyu Zhang, Wei Yang, Kevin Martin Jose, Jimmy Lin |
| 2019 | ECIR | Investigating Retrieval Method Selection with Axiomatic Features. | Siddhant Arora, Andrew Yates |
| 2019 | ECIR | Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain. | Andrew Yates, Michael Unterkalmsteiner |
| 2019 | EMNLP | STANCY: Stance Classification Based on Consistency Cues. | Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum |
| 2019 | WWW | Listening between the Lines: Learning Personal Attributes from Conversations. | Anna Tigunova, Andrew Yates, Paramita Mirza, Gerhard Weikum |
| 2019 | SIGIR | CEDR: Contextualized Embeddings for Document Ranking. | Sean MacAvaney, Andrew Yates, Arman Cohan, Nazli Goharian |
| 2019 | SIGIR | Content-Based Weak Supervision for Ad-Hoc Re-Ranking. | Sean MacAvaney, Andrew Yates, Kai Hui, Ophir Frieder |
| 2019 | REFSQ | Expert-sourcing Domain-specific Knowledge: The Case of Synonym Validation. | Michael Unterkalmsteiner, Andrew Yates |
| 2018 | COLING | 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 |
| 2018 | EMNLP | NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. | Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu |
| 2018 | EMNLP | DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning. | Kashyap Popat, Subhabrata Mukherjee, Andrew Yates, Gerhard Weikum |
| 2018 | SIGIR | Characterizing Question Facets for Complex Answer Retrieval. | Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder |
| 2018 | SIGIR | Overcoming Low-Utility Facets for Complex Answer Retrieval. | Sean MacAvaney, Andrew Yates, Arman Cohan, Luca Soldaini, Kai Hui, Nazli Goharian, Ophir Frieder |
| 2018 | WSDM | Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval. | Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo |
| 2017 | CIKM | Denoising Clinical Notes for Medical Literature Retrieval with Convolutional Neural Model. | Luca Soldaini, Andrew Yates, Nazli Goharian |
| 2017 | EMNLP | PACRR: A Position-Aware Neural IR Model for Relevance Matching. | Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo |
| 2017 | EMNLP | Depression and Self-Harm Risk Assessment in Online Forums. | Andrew Yates, Arman Cohan, Nazli Goharian |
| 2017 | WWW | Position-Aware Representations for Relevance Matching in Neural Information Retrieval. | Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo |
| 2016 | ICWSM | Learning the Relationships between Drug, Symptom, and Medical Condition Mentions in Social Media. | Andrew Yates, Nazli Goharian, Ophir Frieder |
| 2016 | ICWSM | The News Cycle's Influence on Social Media Activity. | Andrew Yates, Jonah Joselow, Nazli Goharian |
| 2016 | LREC | Effects of Sampling on Twitter Trend Detection. | Andrew Yates, Alek Kolcz, Nazli Goharian, Ophir Frieder |
| 2015 | AAAI | Extracting Adverse Drug Reactions from Social Media. | Andrew Yates, Nazli Goharian, Ophir Frieder |
| 2015 | ECIR | Retrieving Medical Literature for Clinical Decision Support. | Luca Soldaini, Arman Cohan, Andrew Yates, Nazli Goharian, Ophir Frieder |
| 2014 | ECIR | Relevance-Ranked Domain-Specific Synonym Discovery. | Andrew Yates, Nazli Goharian, Ophir Frieder |
| 2014 | ICCAD | SuperPUF: integrating heterogeneous physically unclonable functions. | Michael Wang, Andrew Yates, Igor L. Markov |
| 2014 | LREC | A Framework for Public Health Surveillance. | Andrew Yates, Jon Parker, Nazli Goharian, Ophir Frieder |
| 2013 | ACSAC | Validating web content with senser. | Jordan Wilberding, Andrew Yates, Micah Sherr, Wenchao Zhou |
| 2013 | ECIR | ADRTrace: Detecting Expected and Unexpected Adverse Drug Reactions from User Reviews on Social Media Sites. | Andrew Yates, Nazli Goharian |
| 2013 | HealthCom | Social media communications networks and pharmacovigilance: SequelAE-2.0. | Eric William Burger, Howard J. Federoff, Massimo S. Fiandaca, Ophir Frieder, Nazli Goharian, Andrew Yates |
| 2013 | WWW | Graded relevance ranking for synonym discovery. | Andrew Yates, Nazli Goharian, Ophir Frieder |
| 2012 | SIGIR | Efficient estimation of aspect weights. | Jon Parker, Andrew Yates, Nazli Goharian, Wai Gen Yee |
| 2010 | WWW | eduKEN: a tool for fine-grained video comment collection and analysis. | Wai Gen Yee, Andrew Yates, Ophir Frieder, Armin Moehrle |
| 2009 | SIGIR | Are Web User Comments Useful for Search? | Wai Gen Yee, Andrew Yates, Shizhu Liu, Ophir Frieder |