An Inference Network Approach to Image Retrieval. - Donald Metzler; R. Manmatha (CIVR, 2004)

Formal multiple-bernoulli models for language modeling. - Donald Metzler; Victor Lavrenko; W. Bruce Croft (SIGIR, 2004)

Indri at TREC 2004: Terabyte Track. - Donald Metzler; Trevor Strohman; Howard R. Turtle; W. Bruce Croft (TREC, 2004)

Combining the language model and inference network approaches to retrieval. - Donald Metzler; W. Bruce Croft (Inf. Process. Manag., 2004)

Similarity measures for tracking information flow. - Donald Metzler; Yaniv Bernstein; W. Bruce Croft; Alistair Moffat; Justin Zobel (CIKM, 2005)

The recap system for identifying information flow. - Donald Metzler; Yaniv Bernstein; W. Bruce Croft; Alistair Moffat; Justin Zobel (SIGIR, 2005)

A Markov random field model for term dependencies. - Donald Metzler; W. Bruce Croft (SIGIR, 2005)

UMass Robust 2005: Using Mixtures of Relevance Models for Query Expansion. - Donald Metzler; Fernando Diaz 001; Trevor Strohman; W. Bruce Croft (TREC, 2005)

Indri at TREC 2005: Terabyte Track. - Donald Metzler; Trevor Strohman; Yun Zhou; W. Bruce Croft (TREC, 2005)

Analysis of Statistical Question Classification for Fact-Based Questions. - Donald Metzler; W. Bruce Croft (Inf. Retr., 2005)

Beyond Bags of Words: Modeling Implicit User Preferences in Information Retrieval. - Donald Metzler; W. Bruce Croft (AAAI, 2006)

Estimation, sensitivity, and generalization in parameterized retrieval models. - Donald Metzler (CIKM, 2006)

Improving the estimation of relevance models using large external corpora. - Fernando Diaz 001; Donald Metzler (SIGIR, 2006)

Indri TREC Notebook 2006: Lessons Learned From Three Terabyte Tracks. - Donald Metzler; Trevor Strohman; W. Bruce Croft (TREC, 2006)

Automatic feature selection in the markov random field model for information retrieval. - Donald Metzler (CIKM, 2007)

Similarity Measures for Short Segments of Text. - Donald Metzler; Susan T. Dumais; Christopher Meek (ECIR, 2007)

Pseudo-Aligned Multilingual Corpora. - Fernando Diaz 001; Donald Metzler (IJCAI, 2007)

Using gradient descent to optimize language modeling smoothing parameters. - Donald Metzler (SIGIR, 2007)

Latent concept expansion using markov random fields. - Donald Metzler; W. Bruce Croft (SIGIR, 2007)

CIIR Experiments for TREC Legal 2007. - Howard R. Turtle; Donald Metzler (TREC, 2007)

Linear feature-based models for information retrieval. - Donald Metzler; W. Bruce Croft (Inf. Retr., 2007)

To swing or not to swing: learning when (not) to advertise. - Andrei Z. Broder; Massimiliano Ciaramita; Marcus Fontoura; Evgeniy Gabrilovich; Vanja Josifovski; Donald Metzler; Vanessa Murdock 001; Vassilis Plachouras (CIKM, 2008)

Generalized inverse document frequency. - Donald Metzler (CIKM, 2008)

A Statistical View of Binned Retrieval Models. - Donald Metzler; Trevor Strohman; W. Bruce Croft (ECIR, 2008)

Beyond bags of words: effectively modeling dependence and features in information retrieval. - Donald Metzler (SIGIR Forum, 2008)

Search Engines - Information Retrieval in Practice. - W. Bruce Croft; Donald Metzler; Trevor Strohman (Pearson Education, 2009)

Semi-parametric and Non-parametric Term Weighting for Information Retrieval. - Donald Metzler; Hugo Zaragoza (ICTIR, 2009)

Search Engine Adaptation by Feedback Control Adjustment for Time-sensitive Query. - Ruiqiang Zhang; Yi Chang 001; Zhaohui Zheng 001; Donald Metzler; Jian-Yun Nie (HLT-NAACL (Short Papers), 2009)

Improving search relevance for implicitly temporal queries. - Donald Metzler; Rosie Jones; Fuchun Peng; Ruiqiang Zhang (SIGIR, 2009)

Building enriched document representations using aggregated anchor text. - Donald Metzler; Jasmine Novak; Hang Cui; Srihari Reddy (SIGIR, 2009)

Of Ivory and Smurfs: Loxodontan MapReduce Experiments for Web Search. - Jimmy Lin; Tamer Elsayed; Lidan Wang; Donald Metzler (TREC, 2009)

Online expansion of rare queries for sponsored search. - Andrei Z. Broder; Peter Ciccolo; Evgeniy Gabrilovich; Vanja Josifovski; Donald Metzler; Lance Riedel; Jeffrey Yuan (WWW, 2009)

Exploiting site-level information to improve web search. - Andrei Z. Broder; Evgeniy Gabrilovich; Vanja Josifovski; George Mavromatis; Donald Metzler; Jane Wang (CIKM, 2010)

Improved latent concept expansion using hierarchical markov random fields. - Hao Lang; Donald Metzler; Bin Wang 004; Jin-Tao Li 001 (CIKM, 2010)

Ranking under temporal constraints. - Lidan Wang; Donald Metzler; Jimmy Lin (CIKM, 2010)

Relevance and ranking in online dating systems. - Fernando Diaz 001; Donald Metzler; Sihem Amer-Yahia (SIGIR, 2010)

Learning to efficiently rank. - Lidan Wang; Jimmy Lin; Donald Metzler (SIGIR, 2010)

UMD and USC/ISI: TREC 2010 Web Track Experiments with Ivory. - Tamer Elsayed; Sebastian Bruch 001; Lidan Wang; Jimmy Lin; Donald Metzler (TREC, 2010)

Learning concept importance using a weighted dependence model. - Michael Bendersky; Donald Metzler; W. Bruce Croft (WSDM, 2010)

Measuring the reusability of test collections. - Ben Carterette; Evgeniy Gabrilovich; Vanja Josifovski; Donald Metzler (WSDM, 2010)

The anatomy of an ad: structured indexing and retrieval for sponsored search. - Michael Bendersky; Evgeniy Gabrilovich; Vanja Josifovski; Donald Metzler (WWW, 2010)

An Empirical Evaluation of Data-Driven Paraphrase Generation Techniques. - Donald Metzler; Eduard H. Hovy; Chunliang Zhang (ACL (2), 2011)

When close enough is good enough: approximate positional indexes for efficient ranked retrieval. - Tamer Elsayed; Jimmy Lin; Donald Metzler (CIKM, 2011)

Unsupervised Mining of Lexical Variants from Noisy Text. - Stephan Gouws; Eduard H. Hovy; Donald Metzler (ULNLP@EMNLP, 2011)

Pseudo test collections for learning web search ranking functions. - Sebastian Bruch 001; Donald Metzler; Tamer Elsayed; Jimmy Lin (SIGIR, 2011)

Cross-corpus relevance projection. - Sebastian Bruch 001; Donald Metzler; Jimmy Lin (SIGIR, 2011)

Parameterized concept weighting in verbose queries. - Michael Bendersky; Donald Metzler; W. Bruce Croft (SIGIR, 2011)

A cascade ranking model for efficient ranked retrieval. - Lidan Wang; Jimmy Lin; Donald Metzler (SIGIR, 2011)

USC/ISI at TREC 2011: Microblog Track. - Donald Metzler; Congxing Cai (TREC, 2011)

A Feature-Centric View of Information Retrieval - Donald Metzler (Springer, 2011)

FindAll: a local search engine for mobile phones. - Aruna Balasubramanian; Niranjan Balasubramanian; Samuel J. Huston; Donald Metzler; David Wetherall (CoNEXT, 2012)

Data integration from open internet sources to combat sex trafficking of minors. - Hao Wang; Congxing Cai; Andrew Philpot; Mark Latonero; Eduard H. Hovy; Donald Metzler (DG.O, 2012)

Structured Event Retrieval over Microblog Archives. - Donald Metzler; Congxing Cai; Eduard H. Hovy (HLT-NAACL, 2012)

Experimental methods for information retrieval. - Donald Metzler; Oren Kurland (SIGIR, 2012)

Effective query formulation with multiple information sources. - Michael Bendersky; Donald Metzler; W. Bruce Croft (WSDM, 2012)

Learning to efficiently rank on big data. - Lidan Wang; Jimmy Lin; Donald Metzler; Jiawei Han 001 (WWW (Companion Volume), 2014)

Learning to Rank with Selection Bias in Personal Search. - Xuanhui Wang; Michael Bendersky; Donald Metzler; Marc Najork (SIGIR, 2016)

Learning from User Interactions in Personal Search via Attribute Parameterization. - Michael Bendersky; Xuanhui Wang; Donald Metzler; Marc Najork (WSDM, 2017)

Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering. - Jiaming Shen; Maryam Karimzadehgan; Michael Bendersky; Zhen Qin 001; Donald Metzler (CIKM, 2018)

Learning with Sparse and Biased Feedback for Personal Search. - Michael Bendersky; Xuanhui Wang; Marc Najork; Donald Metzler (IJCAI, 2018)

Position Bias Estimation for Unbiased Learning to Rank in Personal Search. - Xuanhui Wang; Nadav Golbandi; Michael Bendersky; Donald Metzler; Marc Najork (WSDM, 2018)

Combining Decision Trees and Neural Networks for Learning-to-Rank in Personal Search. - Pan Li 005; Zhen Qin 001; Xuanhui Wang; Donald Metzler (KDD, 2019)

Revisiting Online Personal Search Metrics with the User in Mind. - Azin Ashkan; Donald Metzler (SIGIR, 2019)

Multi-view Embedding-based Synonyms for Email Search. - Cheng Li 012; Mingyang Zhang 001; Michael Bendersky; Hongbo Deng; Donald Metzler; Marc Najork (SIGIR, 2019)

Domain Adaptation for Enterprise Email Search. - Brandon Tran; Maryam Karimzadehgan; Rama Kumar Pasumarthi; Michael Bendersky; Donald Metzler (SIGIR, 2019)

Personalized Online Spell Correction for Personal Search. - Jai Prakash Gupta 001; Zhen Qin 001; Michael Bendersky; Donald Metzler (WWW, 2019)

Reverse Engineering Configurations of Neural Text Generation Models. - Yi Tay; Dara Bahri; Che Zheng; Clifford Brunk; Donald Metzler; Andrew Tomkins (ACL, 2020)

Sparse Sinkhorn Attention. - Yi Tay; Dara Bahri; Liu Yang; Donald Metzler; Da-Cheng Juan (ICML, 2020)

Improving Recommendation Quality in Google Drive. - Suming J. Chen; Zhen Qin 001; Zac Wilson; Brian Calaci; Michael Rose; Ryan Evans; Sean Abraham; Donald Metzler; Sandeep Tata; Mike Colagrosso (KDD, 2020)

Attribute-based Propensity for Unbiased Learning in Recommender Systems: Algorithm and Case Studies. - Zhen Qin 001; Suming J. Chen; Donald Metzler; Yongwoo Noh; Jingzheng Qin; Xuanhui Wang (KDD, 2020)

Multitask Mixture of Sequential Experts for User Activity Streams. - Zhen Qin 001; Yicheng Cheng; Zhe Zhao 001; Zhe Chen; Donald Metzler; Jingzheng Qin (KDD, 2020)

Choppy: Cut Transformer for Ranked List Truncation. - Dara Bahri; Yi Tay; Che Zheng; Donald Metzler; Andrew Tomkins (SIGIR, 2020)

Parameter Tuning in Personal Search Systems. - Suming J. Chen; Xuanhui Wang; Zhen Qin 001; Donald Metzler (WSDM, 2020)

Separate and Attend in Personal Email Search. - Yu Meng 001; Maryam Karimzadehgan; Honglei Zhuang; Donald Metzler (WSDM, 2020)

Stabilizing Neural Search Ranking Models. - Ruilin Li; Zhen Qin 001; Xuanhui Wang; Suming J. Chen; Donald Metzler (WWW, 2020)

Matching Cross Network for Learning to Rank in Personal Search. - Zhen Qin 001; Zhongliang Li; Michael Bendersky; Donald Metzler (WWW, 2020)

HyperGrid: Efficient Multi-Task Transformers with Grid-wise Decomposable Hyper Projections. - Yi Tay; Zhe Zhao 001; Dara Bahri; Donald Metzler; Da-Cheng Juan (CoRR, 2020)

How Reliable are Model Diagnostics? - Vamsi Aribandi; Yi Tay; Donald Metzler (ACL/IJCNLP (Findings), 2021)

StructFormer: Joint Unsupervised Induction of Dependency and Constituency Structure from Masked Language Modeling. - Yikang Shen; Yi Tay; Che Zheng; Dara Bahri; Donald Metzler; Aaron C. Courville (ACL/IJCNLP (1), 2021)

Are Pretrained Convolutions Better than Pretrained Transformers? - Yi Tay; Mostafa Dehghani 001; Jai Prakash Gupta 001; Vamsi Aribandi; Dara Bahri; Zhen Qin 001; Donald Metzler (ACL/IJCNLP (1), 2021)

Long Range Arena : A Benchmark for Efficient Transformers. - Yi Tay; Mostafa Dehghani 001; Samira Abnar; Yikang Shen; Dara Bahri; Philip Pham; Jinfeng Rao; Liu Yang; Sebastian Ruder; Donald Metzler (ICLR, 2021)

HyperGrid Transformers: Towards A Single Model for Multiple Tasks. - Yi Tay; Zhe Zhao 001; Dara Bahri; Donald Metzler; Da-Cheng Juan (ICLR, 2021)

OmniNet: Omnidirectional Representations from Transformers. - Yi Tay; Mostafa Dehghani 001; Vamsi Aribandi; Jai Prakash Gupta 001; Philip Pham; Zhen Qin 001; Dara Bahri; Da-Cheng Juan; Donald Metzler (ICML, 2021)

Synthesizer: Rethinking Self-Attention for Transformer Models. - Yi Tay; Dara Bahri; Donald Metzler; Da-Cheng Juan; Zhe Zhao 001; Che Zheng (ICML, 2021)

Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study. - Dara Bahri; Yi Tay; Che Zheng; Cliff Brunk; Donald Metzler; Andrew Tomkins (WSDM, 2021)

Label Smoothed Embedding Hypothesis for Out-of-Distribution Detection. - Dara Bahri; Heinrich Jiang; Yi Tay; Donald Metzler (CoRR, 2021)

Rethinking Search: Making Experts out of Dilettantes. - Donald Metzler; Yi Tay; Dara Bahri; Marc Najork (CoRR, 2021)

Are Pre-trained Convolutions Better than Pre-trained Transformers? - Yi Tay; Mostafa Dehghani 001; Jai Prakash Gupta 001; Dara Bahri; Vamsi Aribandi; Zhen Qin 001; Donald Metzler (CoRR, 2021)

The Benchmark Lottery. - Mostafa Dehghani 001; Yi Tay; Alexey A. Gritsenko; Zhe Zhao 001; Neil Houlsby; Fernando Diaz 001; Donald Metzler; Oriol Vinyals (CoRR, 2021)

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers. - Yi Tay; Mostafa Dehghani 001; Jinfeng Rao; William Fedus; Samira Abnar; Hyung Won Chung; Sharan Narang; Dani Yogatama; Ashish Vaswani; Donald Metzler (CoRR, 2021)

Rethinking search: making domain experts out of dilettantes. - Donald Metzler; Yi Tay; Dara Bahri; Marc Najork (SIGIR Forum, 2021)

ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference. - Kai Hui 001; Honglei Zhuang; Tao Chen 008; Zhen Qin 001; Jing Lu; Dara Bahri; Ji Ma 004; Jai Prakash Gupta 001; Cícero Nogueira dos Santos; Yi Tay; Donald Metzler (ACL (Findings), 2022)

Dense Feature Memory Augmented Transformers for COVID-19 Vaccination Search Classification. - Jai Gupta 001; Yi Tay; Chaitanya Kamath; Vinh Tran 002; Donald Metzler; Shailesh Bavadekar; Mimi Sun; Evgeniy Gabrilovich (EMNLP (Industry Track), 2022)

Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters. - Tal Schuster; Sihao Chen; Senaka Buthpitiya; Alex Fabrikant; Donald Metzler (EMNLP (Findings), 2022)

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning. - Vamsi Aribandi; Yi Tay; Tal Schuster; Jinfeng Rao; Huaixiu Steven Zheng; Sanket Vaibhav Mehta; Honglei Zhuang; Vinh Q. Tran 002; Dara Bahri; Jianmo Ni; Jai Prakash Gupta 001; Kai Hui 001; et al. (ICLR, 2022)

Scarf: Self-Supervised Contrastive Learning using Random Feature Corruption. - Dara Bahri; Heinrich Jiang; Yi Tay; Donald Metzler (ICLR, 2022)

Scale Efficiently: Insights from Pretraining and Finetuning Transformers. - Yi Tay; Mostafa Dehghani 001; Jinfeng Rao; William Fedus; Samira Abnar; Hyung Won Chung; Sharan Narang; Dani Yogatama; Ashish Vaswani; Donald Metzler (ICLR, 2022)

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization. - Yi Tay; Vinh Q. Tran 002; Sebastian Ruder; Jai Prakash Gupta 001; Hyung Won Chung; Dara Bahri; Zhen Qin 001; Simon Baumgartner; Cong Yu 001; Donald Metzler (ICLR, 2022)

HyperPrompt: Prompt-based Task-Conditioning of Transformers. - Yun He; Huaixiu Steven Zheng; Yi Tay; Jai Prakash Gupta 001; Yu Du; Vamsi Aribandi; Zhe Zhao 001; YaGuang Li; Zhao Chen; Donald Metzler; Heng-Tze Cheng; Ed H. Chi (ICML, 2022)

Stochastic Retrieval-Conditioned Reranking. - Hamed Zamani; Michael Bendersky; Donald Metzler; Honglei Zhuang; Xuanhui Wang (ICTIR, 2022)

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers. - Alyssa Lees; Vinh Q. Tran 002; Yi Tay; Jeffrey Sorensen; Jai Prakash Gupta 001; Donald Metzler; Lucy Vasserman (KDD, 2022)

Confident Adaptive Language Modeling. - Tal Schuster; Adam Fisch; Jai Gupta 001; Mostafa Dehghani 001; Dara Bahri; Vinh Tran 002; Yi Tay; Donald Metzler (NeurIPS, 2022)

Transformer Memory as a Differentiable Search Index. - Yi Tay; Vinh Tran 002; Mostafa Dehghani 001; Jianmo Ni; Dara Bahri; Harsh Mehta; Zhen Qin 001; Kai Hui 001; Zhe Zhao 001; Jai Prakash Gupta 001; Tal Schuster; William W. Cohen; et al. (NeurIPS, 2022)

Retrieval-Enhanced Machine Learning. - Hamed Zamani; Fernando Diaz 001; Mostafa Dehghani 001; Donald Metzler; Michael Bendersky (SIGIR, 2022)

Search and Discovery in Personal Email Collections. - Michael Bendersky; Xuanhui Wang; Marc Najork; Donald Metzler (WSDM, 2022)

Atomized Search Length: Beyond User Models. - John Alex; Keith B. Hall; Donald Metzler (CoRR, 2022)

Unifying Language Learning Paradigms. - Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Xavier Garcia; Dara Bahri; Tal Schuster; Huaixiu Steven Zheng; Neil Houlsby; Donald Metzler (CoRR, 2022)

Retrieval Augmentation for T5 Re-ranker using External Sources. - Kai Hui 001; Tao Chen 008; Zhen Qin 001; Honglei Zhuang; Fernando Diaz 001; Mike Bendersky; Don Metzler (CoRR, 2022)

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. - Bernd Bohnet; Vinh Q. Tran 002; Pat Verga; Roee Aharoni; Daniel Andor; Livio Baldini Soares; Jacob Eisenstein; Kuzman Ganchev; Jonathan Herzig; Kai Hui 001; Tom Kwiatkowski; Ji Ma 004; et al. (CoRR, 2022)

Emergent Abilities of Large Language Models. - Jason Wei; Yi Tay; Rishi Bommasani; Colin Raffel; Barret Zoph; Sebastian Borgeaud; Dani Yogatama; Maarten Bosma; Denny Zhou; Donald Metzler; Ed H. Chi; Tatsunori Hashimoto; et al. (Trans. Mach. Learn. Res., 2022)

LAIT: Efficient Multi-Segment Encoding in Transformers with Layer-Adjustable Interaction. - Jeremiah Milbauer; Annie Louis; Mohammad Javad Hosseini; Alex Fabrikant; Donald Metzler; Tal Schuster (ACL (1), 2023)

PaRaDe: Passage Ranking using Demonstrations with LLMs. - Andrew Drozdov; Honglei Zhuang; Zhuyun Dai; Zhen Qin 001; Razieh Rahimi; Xuanhui Wang; Dana Alon; Mohit Iyyer; Andrew McCallum; Donald Metzler; Kai Hui 001 (EMNLP (Findings), 2023)

DSI++: Updating Transformer Memory with New Documents. - Sanket Vaibhav Mehta; Jai Gupta 001; Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Jinfeng Rao; Marc Najork; Emma Strubell; Donald Metzler (EMNLP, 2023)

How Does Generative Retrieval Scale to Millions of Passages? - Ronak Pradeep; Kai Hui 001; Jai Gupta 001; Ádám D. Lelkes; Honglei Zhuang; Jimmy Lin; Donald Metzler; Vinh Q. Tran 002 (EMNLP, 2023)

Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling? - Yi Tay; Mostafa Dehghani 001; Samira Abnar; Hyung Won Chung; William Fedus; Jinfeng Rao; Sharan Narang; Vinh Q. Tran 002; Dani Yogatama; Donald Metzler (EMNLP (Findings), 2023)

Transcending Scaling Laws with 0.1% Extra Compute. - Yi Tay; Jason Wei; Hyung Won Chung; Vinh Q. Tran 002; David R. So; Siamak Shakeri; Xavier Garcia; Huaixiu Steven Zheng; Jinfeng Rao; Aakanksha Chowdhery; Denny Zhou; Donald Metzler; et al. (EMNLP, 2023)

UL2: Unifying Language Learning Paradigms. - Yi Tay; Mostafa Dehghani 001; Vinh Q. Tran 002; Xavier Garcia; Jason Wei; Xuezhi Wang 002; Hyung Won Chung; Dara Bahri; Tal Schuster; Huaixiu Steven Zheng; Denny Zhou; Neil Houlsby; et al. (ICLR, 2023)

Surprise: Result List Truncation via Extreme Value Theory. - Dara Bahri; Che Zheng; Yi Tay; Donald Metzler; Andrew Tomkins (SIGIR, 2023)

[email protected] 2023: The First Workshop on Generative Information Retrieval. - Gabriel Bénédict; Ruqing Zhang 001; Donald Metzler (SIGIR, 2023)

Gen-IR @ SIGIR 2023: The First Workshop on Generative Information Retrieval. - Gabriel Bénédict; Ruqing Zhang 001; Donald Metzler (CoRR, 2023)

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. - Zhen Qin 001; Rolf Jagerman; Kai Hui 001; Honglei Zhuang; Junru Wu; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Donald Metzler; Xuanhui Wang; Michael Bendersky (CoRR, 2023)

PaRaDe: Passage Ranking using Demonstrations with Large Language Models. - Andrew Drozdov; Honglei Zhuang; Zhuyun Dai; Zhen Qin 001; Razieh Rahimi; Xuanhui Wang; Dana Alon; Mohit Iyyer; Andrew McCallum; Donald Metzler; Kai Hui 001 (CoRR, 2023)

Efficient Transformers: A Survey. - Yi Tay; Mostafa Dehghani 001; Dara Bahri; Donald Metzler (ACM Comput. Surv., 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)

Searching Personal Collections. - Michael Bendersky; Donald Metzler; Marc Najork; Xuanhui Wang (Information Retrieval: Advanced Topics and Techniques, 2024)

OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement. - Yang Gao; Ji Ma 004; Ivan Korotkov; Keith B. Hall; Dana Alon; Donald Metzler (LREC/COLING, 2024)

Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting. - Zhen Qin 001; Rolf Jagerman; Kai Hui 001; Honglei Zhuang; Junru Wu; Le Yan; Jiaming Shen; Tianqi Liu 002; Jialu Liu; Donald Metzler; Xuanhui Wang; Michael Bendersky (NAACL-HLT (Findings), 2024)

SEMQA: Semi-Extractive Multi-Source Question Answering. - Tal Schuster; Ádám D. Lelkes; Haitian Sun; Jai Gupta 001; Jonathan Berant; William W. Cohen; Donald Metzler (NAACL-HLT, 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)

Best-of-Venom: Attacking RLHF by Injecting Poisoned Preference Data. - Tim Baumgärtner; Yang Gao; Dana Alon; Donald Metzler (CoRR, 2024)

Impact of Preference Noise on the Alignment Performance of Generative Language Models. - Yang Gao; Dana Alon; Donald Metzler (CoRR, 2024)

A Watermark for Black-Box Language Models. - Dara Bahri; John Wieting; Dana Alon; Donald Metzler (CoRR, 2024)

Tomato, Tomahto, Tomate: Measuring the Role of Shared Semantics among Subwords in Multilingual Language Models. - Xinyu Zhang 018; Jing Lu; Vinh Q. Tran 002; Tal Schuster; Donald Metzler; Jimmy Lin (CoRR, 2024)

Searching Personal Collections. - Michael Bendersky; Donald Metzler; Marc Najork; Xuanhui Wang (CoRR, 2024)

Tomato, Tomahto, Tomate: Do Multilingual Language Models Understand Based on Subword-Level Semantic Concepts? - Crystina Zhang; Jing Lu; Vinh Q. Tran 002; Tal Schuster; Donald Metzler; Jimmy Lin (NAACL (Findings), 2025)

Rankers, Judges, and Assistants: Towards Understanding the Interplay of LLMs in Information Retrieval Evaluation. - Krisztian Balog; Don Metzler; Zhen Qin 001 (SIGIR, 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 1. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)

Pre-Trained Models for Search and Recommendation: Introduction to the Special Issue - Part 2. - Wenjie Wang 007; Zheng Liu 011; Fuli Feng; Zhicheng Dou; Qingyao Ai; Grace Hui Yang; Defu Lian; Lu Hou 002; Aixin Sun; Hamed Zamani; Donald Metzler; Maarten de Rijke (ACM Trans. Inf. Syst., 2025)