Probabilistic combination of text classifiers using reliability indicators: models and results. - Paul N. Bennett; Susan T. Dumais; Eric Horvitz (SIGIR, 2002)

Reducing boundary friction using translation-fragment overlap. - Ralf D. Brown; Rebecca Hutchinson; Paul N. Bennett; Jaime G. Carbonell; Peter J. Jansen (MTSummit, 2003)

Using asymmetric distributions to improve text classifier probability estimates. - Paul N. Bennett (SIGIR, 2003)

Detecting action-items in e-mail. - Paul N. Bennett; Jaime G. Carbonell (SIGIR, 2005)

The Combination of Text Classifiers Using Reliability Indicators. - Paul N. Bennett; Susan T. Dumais; Eric Horvitz (Inf. Retr., 2005)

Neighborhood-Based Local Sensitivity. - Paul N. Bennett (ECML, 2007)

Dual Strategy Active Learning. - Pinar Donmez; Jaime G. Carbonell; Paul N. Bennett (ECML, 2007)

Combining Probability-Based Rankers for Action-Item Detection. - Paul N. Bennett; Jaime G. Carbonell (HLT-NAACL, 2007)

Here or There. - Ben Carterette; Paul N. Bennett; David Maxwell Chickering; Susan T. Dumais (ECIR, 2008)

Evaluation measures for preference judgments. - Ben Carterette; Paul N. Bennett (SIGIR, 2008)

Beyond binary relevance: preferences, diversity, and set-level judgments. - Paul N. Bennett; Ben Carterette; Olivier Chapelle; Thorsten Joachims (SIGIR Forum, 2008)

Tutorial summary: Machine learning in IR: recent successes and new opportunities. - Paul N. Bennett; Misha Bilenko; Kevyn Collins-Thompson (ICML, 2009)

Picture this: preferences for image search. - Paul N. Bennett; David Maxwell Chickering; Anton Mityagin (KDD Workshop on Human Computation, 2009)

Refined experts: improving classification in large taxonomies. - Paul N. Bennett; Nam Nguyen 001 (SIGIR, 2009)

Estimating query performance using class predictions. - Kevyn Collins-Thompson; Paul N. Bennett (SIGIR, 2009)

Learning consensus opinion: mining data from a labeling game. - Paul N. Bennett; David Maxwell Chickering; Anton Mityagin (WWW, 2009)

Redundancy, diversity and interdependent document relevance. - Filip Radlinski; Paul N. Bennett; Ben Carterette; Thorsten Joachims (SIGIR Forum, 2009)

A report on the human computation workshop (HComp 2009). - Panagiotis G. Ipeirotis; Raman Chandrasekar; Paul N. Bennett (SIGKDD Explor., 2009)

Online stratified sampling: evaluating classifiers at web-scale. - Paul N. Bennett; Vitor R. Carvalho (CIKM, 2010)

Predicting short-term interests using activity-based search context. - Ryen W. White; Paul N. Bennett; Susan T. Dumais (CIKM, 2010)

Predicting Query Performance via Classification. - Kevyn Collins-Thompson; Paul N. Bennett (ECIR, 2010)

Classification-enhanced ranking. - Paul N. Bennett; Krysta M. Svore; Susan T. Dumais (WWW, 2010)

Personalizing web search results by reading level. - Kevyn Collins-Thompson; Paul N. Bennett; Ryen W. White; Sebastian de la Chica; David A. Sontag (CIKM, 2011)

Fractional Similarity: Cross-Lingual Feature Selection for Search. - Jagadeesh Jagarlamudi; Paul N. Bennett (ECIR, 2011)

Inferring and using location metadata to personalize web search. - Paul N. Bennett; Filip Radlinski; Ryen W. White; Emine Yilmaz (SIGIR, 2011)

Modeling and analysis of cross-session search tasks. - Alexander Kotov 001; Paul N. Bennett; Ryen W. White; Susan T. Dumais; Jaime Teevan (SIGIR, 2011)

The effects of choice in routing relevance judgments. - Edith Law; Paul N. Bennett; Eric Horvitz (SIGIR, 2011)

MSRC at TREC 2011 Crowdsourcing Track. - Paul Bennett 001; Ece Kamar; Gabriella Kazai (TREC, 2011)

Detecting duplicate web documents using clickthrough data. - Filip Radlinski; Paul N. Bennett; Emine Yilmaz (WSDM, 2011)

Learning to Rank Using an Ensemble of Lambda-Gradient Models. - Christopher J. C. Burges; Krysta M. Svore; Paul N. Bennett; Andrzej Pastusiak; Qiang Wu (Yahoo! Learning to Rank Challenge, 2011)

Enriching information retrieval. - Paul N. Bennett; Khalid El-Arini; Thorsten Joachims; Krysta M. Svore (SIGIR Forum, 2011)

Search, interrupted: understanding and predicting search task continuation. - Eugene Agichtein; Ryen W. White; Susan T. Dumais; Paul N. Bennett (SIGIR, 2012)

Modeling the impact of short- and long-term behavior on search personalization. - Paul N. Bennett; Ryen W. White; Wei Chu; Susan T. Dumais; Peter Bailey; Fedor Borisyuk; Xiaoyuan Cui (SIGIR, 2012)

Active query selection for learning rankers. - Mustafa Bilgic 001; Paul N. Bennett (SIGIR, 2012)

Anticipatory search: using context to initiate search. - Daniel J. Liebling; Paul N. Bennett; Ryen W. White (SIGIR, 2012)

Robust ranking models via risk-sensitive optimization. - Lidan Wang; Paul N. Bennett; Kevyn Collins-Thompson (SIGIR, 2012)

Characterizing web content, user interests, and search behavior by reading level and topic. - Jin Young Kim 005; Kevyn Collins-Thompson; Paul N. Bennett; Susan T. Dumais (WSDM, 2012)

Probabilistic models for personalizing web search. - David A. Sontag; Kevyn Collins-Thompson; Paul N. Bennett; Ryen W. White; Susan T. Dumais; Bodo Billerbeck (WSDM, 2012)

Leveraging interlingual classification to improve web search. - Jagadeesh Jagarlamudi; Paul N. Bennett; Krysta M. Svore (WWW (Companion Volume), 2012)

Mining and learning from context in search. - Paul Bennett 001 (CaRR@WSDM, 2013)

Channeling the deluge: research challenges for big data and information systems. - Paul Bennett 001; C. Lee Giles; Alon Y. Halevy; Jiawei Han 001; Marti A. Hearst; Jure Leskovec (CIKM, 2013)

Sixth workshop on exploiting semantic annotations in information retrieval (ESAIR'13). - Paul N. Bennett; Evgeniy Gabrilovich; Jaap Kamps; Jussi Karlgren (CIKM, 2013)

Designing Human-Readable User Profiles for Search Evaluation. - Carsten Eickhoff; Kevyn Collins-Thompson; Paul N. Bennett; Susan T. Dumais (ECIR, 2013)

Toward whole-session relevance: exploring intrinsic diversity in web search. - Karthik Raman 001; Paul N. Bennett; Kevyn Collins-Thompson (SIGIR, 2013)

Fighting search engine amnesia: reranking repeated results. - Milad Shokouhi; Ryen W. White; Paul N. Bennett; Filip Radlinski (SIGIR, 2013)

TREC 2013 Web Track Overview. - Kevyn Collins-Thompson; Paul N. Bennett; Fernando Diaz 001; Charlie Clarke; Ellen M. Voorhees (TREC, 2013)

Pairwise ranking aggregation in a crowdsourced setting. - Xi Chen; Paul N. Bennett; Kevyn Collins-Thompson; Eric Horvitz (WSDM, 2013)

Personalizing atypical web search sessions. - Carsten Eickhoff; Kevyn Collins-Thompson; Paul N. Bennett; Susan T. Dumais (WSDM, 2013)

Predicting content change on the web. - Kira Radinsky; Paul N. Bennett (WSDM, 2013)

Active Exploration in Networks: Using Probabilistic Relationships for Learning and Inference. - Joseph John Pfeiffer III; Jennifer Neville; Paul N. Bennett (CIKM, 2014)

Composite Likelihood Data Augmentation for Within-Network Statistical Relational Learning. - Joseph J. Pfeiffer III; Jennifer Neville; Paul N. Bennett (ICDM, 2014)

TREC 2014 Web Track Overview. - Kevyn Collins-Thompson; Craig Macdonald; Paul N. Bennett; Fernando Diaz 001; Ellen M. Voorhees (TREC, 2014)

Report on the sixth workshop on exploiting semantic annotations in information retrieval (ESAIR'13). - Paul N. Bennett; Evgeniy Gabrilovich; Jaap Kamps; Jussi Karlgren (SIGIR Forum, 2014)

Understanding Intrinsic Diversity in Web Search: Improving Whole-Session Relevance. - Karthik Raman 001; Paul N. Bennett; Kevyn Collins-Thompson (ACM Trans. Inf. Syst., 2014)

Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection. - Ashiqur R. KhudaBukhsh; Paul N. Bennett; Ryen W. White (CIKM, 2015)

Implicit Preference Labels for Learning Highly Selective Personalized Rankers. - Paul N. Bennett; Milad Shokouhi; Rich Caruana (ICTIR, 2015)

Search from Personal to Social Context: Progress and Challenges. - Paul N. Bennett (SPS@SIGIR, 2015)

Persona-ization: Searching on Behalf of Others. - Paul N. Bennett; Emre Kiciman (SPS@SIGIR, 2015)

Modeling Website Topic Cohesion at Scale to Improve Webpage Classification. - Dhivya Eswaran; Paul N. Bennett; Joseph J. Pfeiffer III (SIGIR, 2015)

Mining Tasks from the Web Anchor Text Graph: MSR Notebook Paper for the TREC 2015 Tasks Track. - Paul N. Bennett; Ryen W. White (TREC, 2015)

Events and Controversies: Influences of a Shocking News Event on Information Seeking. - Danai Koutra; Paul N. Bennett; Eric Horvitz (WWW, 2015)

Overcoming Relational Learning Biases to Accurately Predict Preferences in Large Scale Networks. - Joseph J. Pfeiffer III; Jennifer Neville; Paul N. Bennett (WWW, 2015)

Query Suggestion and Data Fusion in Contextual Disambiguation. - Milad Shokouhi; Marc Sloan; Paul N. Bennett; Kevyn Collins-Thompson; Siranush Sarkizova (WWW, 2015)

Overview of the Special Issue on Contextual Search and Recommendation. - Paul N. Bennett; Kevyn Collins-Thompson; Diane Kelly 001; Ryen W. White; Yi Zhang 001 (ACM Trans. Inf. Syst., 2015)

Analyzing and Predicting Task Reminders. - David Graus; Paul N. Bennett; Ryen W. White; Eric Horvitz (UMAP, 2016)

Using Shortlists to Support Decision Making and Improve Recommender System Performance. - Tobias Schnabel; Paul N. Bennett; Susan T. Dumais; Thorsten Joachims (WWW, 2016)

Managing Uncertainty in Time Expressions for Virtual Assistants. - Xin Rong; Adam Fourney; Robin N. Brewer; Meredith Ringel Morris; Paul N. Bennett (CHI, 2017)

Self-Es: The Role of Emails-to-Self in Personal Information Management. - Horatiu S. Bota; Paul N. Bennett; Ahmed Hassan Awadallah; Susan T. Dumais (CHIIR, 2017)

Characterizing and Predicting Enterprise Email Reply Behavior. - Liu Yang 005; Susan T. Dumais; Paul N. Bennett; Ahmed Hassan Awadallah (SIGIR, 2017)

Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. - Paul N. Bennett; David Maxwell Chickering; Christopher Meek; Xiaojin Zhu 001 (WSDM, 2017)

Overview of Special Issue. - James Allan; Nicholas J. Belkin; Paul N. Bennett; Jamie Callan; Charles L. A. Clarke; Fernando Diaz 001; Susan T. Dumais; Nicola Ferro 001; Donna Harman; Djoerd Hiemstra; Ian Ruthven; Tetsuya Sakai; et al. (SIGIR Forum, 2017)

Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty. - Mengting Wan; Di Wang 003; Jie Liu 001; Paul Bennett 001; Julian J. McAuley (CIKM, 2018)

Calendar-Aware Proactive Email Recommendation. - Qian Zhao; Paul N. Bennett; Adam Fourney; Anne Loomis Thompson; Shane Williams; Adam D. Troy; Susan T. Dumais (SIGIR, 2018)

Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration. - Tobias Schnabel; Paul N. Bennett; Susan T. Dumais; Thorsten Joachims (WSDM, 2018)

Improving Recommender Systems Beyond the Algorithm. - Tobias Schnabel; Paul N. Bennett; Thorsten Joachims (CoRR, 2018)

Guidelines for Human-AI Interaction. - Saleema Amershi; Daniel S. Weld; Mihaela Vorvoreanu; Adam Fourney; Besmira Nushi; Penny Collisson; Jina Suh; Shamsi T. Iqbal; Paul N. Bennett; Kori Inkpen; Jaime Teevan; Ruth Kikin-Gil; et al. (CHI, 2019)

Will You Accept an Imperfect AI?: Exploring Designs for Adjusting End-user Expectations of AI Systems. - Rafal Kocielnik; Saleema Amershi; Paul N. Bennett (CHI, 2019)

Understanding Context for Tasks and Activities. - Jan R. Benetka; John Krumm; Paul N. Bennett (CHIIR, 2019)

Learning About Work Tasks to Inform Intelligent Assistant Design. - Johanne R. Trippas; Damiano Spina; Falk Scholer; Ahmed Hassan Awadallah; Peter Bailey; Paul N. Bennett; Ryen W. White; Jonathan Liono; Yongli Ren; Flora D. Salim; Mark Sanderson (CHIIR, 2019)

Context-Aware Intent Identification in Email Conversations. - Wei Wang 238; Saghar Hosseini; Ahmed Hassan Awadallah; Paul N. Bennett; Chris Quirk (SIGIR, 2019)

Generic Intent Representation in Web Search. - Hongfei Zhang; Xia Song; Chenyan Xiong; Corby Rosset; Paul N. Bennett; Nick Craswell; Saurabh Tiwary (SIGIR, 2019)

Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory. - Tobias Schnabel; Paul N. Bennett; Thorsten Joachims (WSDM, 2019)

Multi-device digital assistance. - Ryen W. White; Adam Fourney; Allen Herring; Paul N. Bennett; Nirupama Chandrasekaran; Robert Sim; Elnaz Nouri; Mark J. Encarnación (Commun. ACM, 2019)

Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention. - Chen Zhao 009; Chenyan Xiong; Corby Rosset; Xia Song; Paul N. Bennett; Saurabh Tiwary (ICLR, 2020)

Leveraging Structured Metadata for Improving Question Answering on the Web. - Xinya Du; Ahmed Hassan Awadallah; Adam Fourney; Robert Sim; Paul N. Bennett; Claire Cardie (AACL/IJCNLP, 2020)

Intelligent Task Recognition: Towards Enabling Productivity Assistance in Daily Life. - Jonathan Liono; Mohammad Saiedur Rahaman; Flora D. Salim; Yongli Ren; Damiano Spina; Falk Scholer; Johanne R. Trippas; Mark Sanderson; Paul N. Bennett; Ryen W. White (ICMR, 2020)

Debiasing Item-to-Item Recommendations With Small Annotated Datasets. - Tobias Schnabel; Paul N. Bennett (RecSys, 2020)

Recent Advances in Conversational Information Retrieval. - Jianfeng Gao 001; Chenyan Xiong; Paul Bennett 001 (SIGIR, 2020)

Contextual Re-Ranking with Behavior Aware Transformers. - Chen Qu 001; Chenyan Xiong; Yizhe Zhang 002; Corby Rosset; W. Bruce Croft; Paul N. Bennett (SIGIR, 2020)

The Impact of More Transparent Interfaces on Behavior in Personalized Recommendation. - Tobias Schnabel; Saleema Amershi; Paul N. Bennett; Peter Bailey; Thorsten Joachims (SIGIR, 2020)

Few-Shot Generative Conversational Query Rewriting. - Shi Yu 001; Jiahua Liu; Jingqin Yang; Chenyan Xiong; Paul N. Bennett; Jianfeng Gao 001; Zhiyuan Liu 001 (SIGIR, 2020)

Analyzing and Learning from User Interactions for Search Clarification. - Hamed Zamani; Bhaskar Mitra 001; Everest Chen; Gord Lueck; Fernando Diaz 001; Paul N. Bennett; Nick Craswell; Susan T. Dumais (SIGIR, 2020)

Toward Activity Discovery in the Personal Web. - Tara Safavi; Adam Fourney; Robert Sim; Marcin Juraszek; Shane Williams; Ned Friend; Danai Koutra; Paul N. Bennett (WSDM, 2020)

Leading Conversational Search by Suggesting Useful Questions. - Corbin Rosset; Chenyan Xiong; Xia Song; Daniel Campos; Nick Craswell; Saurabh Tiwary; Paul N. Bennett (WWW, 2020)

Improving Learning Outcomes with Gaze Tracking and Automatic Question Generation. - Rohail Syed; Kevyn Collins-Thompson; Paul N. Bennett; Mengqiu Teng; Shane Williams; Wendy W. Tay; Shamsi T. Iqbal (WWW, 2020)

Generating Clarifying Questions for Information Retrieval. - Hamed Zamani; Susan T. Dumais; Nick Craswell; Paul N. Bennett; Gord Lueck (WWW, 2020)

Knowledge-Aware Language Model Pretraining. - Corby Rosset; Chenyan Xiong; Minh Phan; Xia Song; Paul N. Bennett; Saurabh Tiwary (CoRR, 2020)

CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. - Chenyan Xiong; Zhenghao Liu 001; Si Sun; Zhuyun Dai; Kaitao Zhang; Shi Yu 001; Zhiyuan Liu 001; Hoifung Poon; Jianfeng Gao 001; Paul Bennett 001 (CoRR, 2020)

Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision. - Si Sun; Yingzhuo Qian; Zhenghao Liu 001; Chenyan Xiong; Kaitao Zhang; Jie Bao; Zhiyuan Liu 001; Paul Bennett 001 (CoRR, 2020)

A Report on the First Workshop on Document Intelligence (DI) at NeurIPS 2019. - Hamid Motahari 001; Nigel P. Duffy; Paul Bennett 001; Tania Bedrax-Weiss (SIGKDD Explor., 2020)

Keep It Simple: Unsupervised Simplification of Multi-Paragraph Text. - Philippe Laban; Tobias Schnabel; Paul N. Bennett; Marti A. Hearst (ACL/IJCNLP (1), 2021)

Few-Shot Text Ranking with Meta Adapted Synthetic Weak Supervision. - Si Sun; Yingzhuo Qian; Zhenghao Liu 001; Chenyan Xiong; Kaitao Zhang; Jie Bao; Zhiyuan Liu 001; Paul Bennett 001 (ACL/IJCNLP (1), 2021)

Scraps: Enabling Mobile Capture, Contextualization, and Use of Document Resources. - Amanda Swearngin; Shamsi T. Iqbal; Victor Poznanski; Mark J. Encarnación; Paul N. Bennett; Jaime Teevan (CHI, 2021)

Say 'YES' to Positivity: Detecting Toxic Language in Workplace Communications. - Meghana Moorthy Bhat; Saghar Hosseini; Ahmed Hassan Awadallah; Paul N. Bennett; Weisheng Li (EMNLP (Findings), 2021)

Less is More: Pretrain a Strong Siamese Encoder for Dense Text Retrieval Using a Weak Decoder. - Shuqi Lu; Di He 001; Chenyan Xiong; Guolin Ke; Waleed Malik; Zhicheng Dou; Paul Bennett 001; Tie-Yan Liu; Arnold Overwijk (EMNLP (1), 2021)

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval. - Lee Xiong; Chenyan Xiong; Ye Li; Kwok-Fung Tang; Jialin Liu; Paul N. Bennett; Junaid Ahmed; Arnold Overwijk (ICLR, 2021)

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. - Yu Wang 009; Jinchao Li; Tristan Naumann; Chenyan Xiong; Hao Cheng 002; Robert Tinn; Cliff Wong; Naoto Usuyama; Richard Rogahn; Zhihong Shen; Yang Qin; Eric Horvitz; et al. (KDD, 2021)

COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining. - Yu Meng 001; Chenyan Xiong; Payal Bajaj; Saurabh Tiwary; Paul Bennett 001; Jiawei Han 001; Xia Song (NeurIPS, 2021)

Local Factor Models for Large-Scale Inductive Recommendation. - Longqi Yang; Tobias Schnabel; Paul N. Bennett; Susan T. Dumais (RecSys, 2021)

Less is More: Pre-training a Strong Siamese Encoder Using a Weak Decoder. - Shuqi Lu; Chenyan Xiong; Di He 001; Guolin Ke; Waleed Malik; Zhicheng Dou; Paul Bennett 001; Tie-Yan Liu; Arnold Overwijk (CoRR, 2021)

Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representations. - Ji Xin; Chenyan Xiong; Ashwin Srinivasan 003; Ankita Sharma; Damien Jose; Paul Bennett 001 (ACL (Findings), 2022)

Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators. - Yu Meng 001; Chenyan Xiong; Payal Bajaj; Saurabh Tiwary; Paul N. Bennett; Jiawei Han 001; Xia Song (ICLR, 2022)

Neural Approaches to Conversational Information Retrieval. - Jianfeng Gao 001; Chenyan Xiong; Paul Bennett 001; Nick Craswell (CoRR, 2022)

METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. - Payal Bajaj; Chenyan Xiong; Guolin Ke; Xiaodong Liu 003; Di He 001; Saurabh Tiwary; Tie-Yan Liu; Paul Bennett 001; Xia Song; Jianfeng Gao 001 (CoRR, 2022)

Imagining future digital assistants at work: A study of task management needs. - Yonchanok Khaokaew; Indigo Holcombe-James; Mohammad Saiedur Rahaman; Jonathan Liono; Johanne R. Trippas; Damiano Spina; Peter Bailey; Nicholas J. Belkin; Paul N. Bennett; Yongli Ren; Mark Sanderson; Falk Scholer; et al. (Int. J. Hum. Comput. Stud., 2022)

SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization. - Philippe Laban; Tobias Schnabel; Paul N. Bennett; Marti A. Hearst (Trans. Assoc. Comput. Linguistics, 2022)

Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories. - Suyu Ge; Chenyan Xiong; Corby Rosset; Arnold Overwijk; Jiawei Han 001; Paul Bennett 001 (EMNLP, 2023)

Axiomatic Preference Modeling for Longform Question Answering. - Corby Rosset; Guoqing Zheng; Victor Dibia; Ahmed Awadallah 001; Paul N. Bennett (EMNLP, 2023)

ArK: Augmented Reality with Knowledge Interactive Emergent Ability. - Qiuyuan Huang; Jae Sung Park; Abhinav Gupta 002; Paul N. Bennett; Ran Gong; Subhojit Som; Baolin Peng; Owais Khan Mohammed; Chris Pal; Yejin Choi 001; Jianfeng Gao 001 (CoRR, 2023)

Neural Approaches to Conversational Information Retrieval - Jianfeng Gao 001; Chenyan Xiong; Paul Bennett 001; Nick Craswell (Springer, 2023)

PODTILE: Facilitating Podcast Episode Browsing with Auto-generated Chapters. - Azin Ghazimatin; Ekaterina Garmash; Gustavo Penha; Kristen Sheets; Martin Achenbach; Oguz Semerci; Remi Galvez; Marcus Tannenberg; Sahitya Mantravadi; Divya Narayanan; Ofeliya Kalaydzhyan; Douglas Cole; et al. (CIKM, 2024)

MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels. - Qi Chen 009; Xiubo Geng; Corby Rosset; Carolyn Buractaon; Jingwen Lu; Tao Shen 001; Kun Zhou 002; Chenyan Xiong; Yeyun Gong; Paul N. Bennett; Nick Craswell; Xing Xie 001; et al. (WWW (Companion Volume), 2024)

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models. - Bernd Huber; Ghazal Fazelnia; Andreas Damianou; Sebastian Peleato; Max Lefarov; Praveen Ravichandran; Marco De Nadai; Mounia Lalmas-Roelleke; Paul N. Bennett (CoRR, 2025)