Enriching Word Embeddings for Patent Retrieval with Global Context. - Sebastian Hofstätter; Navid Rekabsaz; Mihai Lupu; Carsten Eickhoff; Allan Hanbury (ECIR (1), 2019)

Let's measure run time! Extending the IR replicability infrastructure to include performance aspects. - Sebastian Hofstätter; Allan Hanbury (OSIRRC@SIGIR, 2019)

On the Effect of Low-Frequency Terms on Neural-IR Models. - Sebastian Hofstätter; Navid Rekabsaz; Carsten Eickhoff; Allan Hanbury (SIGIR, 2019)

TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. - Sebastian Hofstätter; Markus Zlabinger; Allan Hanbury (TREC, 2019)

Learning to Re-Rank with Contextualized Stopwords. - Sebastian Hofstätter; Aldo Lipani; Markus Zlabinger; Allan Hanbury (CIKM, 2020)

Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. - Sebastian Hofstätter; Markus Zlabinger; Mete Sertkan; Michael Schröder 005; Allan Hanbury (CIKM, 2020)

Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. - Sebastian Hofstätter; Markus Zlabinger; Allan Hanbury (ECAI, 2020)

Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results. - Sebastian Hofstätter; Markus Zlabinger; Allan Hanbury (ECIR (2), 2020)

DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. - Markus Zlabinger; Sebastian Hofstätter; Navid Rekabsaz; Allan Hanbury (ECIR (2), 2020)

Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports. - Markus Zlabinger; Marta Sabou; Sebastian Hofstätter; Allan Hanbury (EMNLP (Findings), 2020)

End-to-End Contextualized Document Indexing and Retrieval with Neural Networks. - Sebastian Hofstätter (SIGIR, 2020)

Local Self-Attention over Long Text for Efficient Document Retrieval. - Sebastian Hofstätter; Hamed Zamani; Bhaskar Mitra 001; Nick Craswell; Allan Hanbury (SIGIR, 2020)

DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. - Markus Zlabinger; Marta Sabou; Sebastian Hofstätter; Mete Sertkan; Allan Hanbury (SIGIR, 2020)

Evaluating Transformer-Kernel Models at TREC Deep Learning 2020. - Sebastian Hofstätter; Allan Hanbury (TREC, 2020)

Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. - Bhaskar Mitra 001; Sebastian Hofstätter; Hamed Zamani; Nick Craswell (TREC, 2020)

Conformer-Kernel with Query Term Independence for Document Retrieval. - Bhaskar Mitra 001; Sebastian Hofstätter; Hamed Zamani; Nick Craswell (CoRR, 2020)

Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation. - Sebastian Hofstätter; Sophia Althammer; Michael Schröder 005; Mete Sertkan; Allan Hanbury (CoRR, 2020)

Cross-domain Retrieval in the Legal and Patent Domains: a Reproducability Study. - Sophia Althammer; Sebastian Hofstätter; Allan Hanbury (CoRR, 2020)

Cross-Domain Retrieval in the Legal and Patent Domains: A Reproducibility Study. - Sophia Althammer; Sebastian Hofstätter; Allan Hanbury (ECIR (2), 2021)

Mitigating the Position Bias of Transformer Models in Passage Re-ranking. - Sebastian Hofstätter; Aldo Lipani; Sophia Althammer; Markus Zlabinger; Allan Hanbury (ECIR (1), 2021)

Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. - Sebastian Hofstätter; Sheng-Chieh Lin; Jheng-Hong Yang; Jimmy Lin; Allan Hanbury (SIGIR, 2021)

Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. - Sebastian Hofstätter; Bhaskar Mitra 001; Hamed Zamani; Nick Craswell; Allan Hanbury (SIGIR, 2021)

Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. - Bhaskar Mitra 001; Sebastian Hofstätter; Hamed Zamani; Nick Craswell (SIGIR, 2021)

TU Wien at TREC DL and Podcast 2021: Simple Compression for Dense Retrieval. - Sebastian Hofstätter; Mete Sertkan; Allan Hanbury (TREC, 2021)

Linguistically Informed Masking for Representation Learning in the Patent Domain. - Sophia Althammer; Mark Buckley; Sebastian Hofstätter; Allan Hanbury (CoRR, 2021)

TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. - Sophia Althammer; Sebastian Hofstätter; Suzan Verberne; Allan Hanbury (CIKM, 2022)

Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. - Sebastian Hofstätter; Omar Khattab; Sophia Althammer; Mete Sertkan; Allan Hanbury (CIKM, 2022)

PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. - Sophia Althammer; Sebastian Hofstätter; Mete Sertkan; Suzan Verberne; Allan Hanbury (ECIR (1), 2022)

Establishing Strong Baselines For TripClick Health Retrieval. - Sebastian Hofstätter; Sophia Althammer; Mete Sertkan; Allan Hanbury (ECIR (2), 2022)

Diversifying Sentiments in News Recommendation. - Mete Sertkan; Sophia Althammer; Sebastian Hofstätter; Julia Neidhardt (Perspectives@RecSys, 2022)

A Time-Optimized Content Creation Workflow for Remote Teaching. - Sebastian Hofstätter; Sophia Althammer; Mete Sertkan; Allan Hanbury (SIGCSE (1), 2022)

Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems. - Sebastian Hofstätter; Nick Craswell; Bhaskar Mitra 001; Hamed Zamani; Allan Hanbury (CoRR, 2022)

Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling. - Sebastian Hofstätter; Jiecao Chen; Karthik Raman 001; Hamed Zamani (CoRR, 2022)

Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation. - Mete Sertkan; Sophia Althammer; Sebastian Hofstätter (ACL (demo), 2023)

Search in Archival Facsimile Documents for Digital History. - David Banyasz; Sebastian Hofstätter; Allan Hanbury (e-Science, 2023)

Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation. - Mete Sertkan; Sophia Althammer; Sebastian Hofstätter; Peter Knees; Julia Neidhardt (Perspectives@RecSys, 2023)

Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection. - Sophia Althammer; Guido Zuccon; Sebastian Hofstätter; Suzan Verberne; Allan Hanbury (SIGIR-AP, 2023)

FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. - Sebastian Hofstätter; Jiecao Chen; Karthik Raman 001; Hamed Zamani (SIGIR, 2023)

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models. - Pat Verga; Sebastian Hofstätter; Sophia Althammer; Yixuan Su; Aleksandra Piktus; Arkady Arkhangorodsky; Minjie Xu; Naomi White; Patrick Lewis 002 (CoRR, 2024)

Rank-Without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models. - Crystina Zhang; Sebastian Hofstätter; Patrick Lewis 002; Raphael Tang; Jimmy Lin (ECIR (2), 2025)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)