| 2025 | ECIR | Rank-Without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models. | Crystina Zhang, Sebastian Hofsttter, Patrick Lewis, Raphael Tang, Jimmy Lin |
| 2023 | ACL | Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation. | Mete Sertkan, Sophia Althammer, Sebastian Hofsttter |
| 2023 | RecSys | Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation. | Mete Sertkan, Sophia Althammer, Sebastian Hofsttter, Peter Knees, Julia Neidhardt |
| 2023 | SIGIR | FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. | Sebastian Hofsttter, Jiecao Chen, Karthik Raman, Hamed Zamani |
| 2022 | CIKM | TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. | Sophia Althammer, Sebastian Hofsttter, Suzan Verberne, Allan Hanbury |
| 2022 | CIKM | Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. | Sebastian Hofsttter, Omar Khattab, Sophia Althammer, Mete Sertkan, Allan Hanbury |
| 2022 | ECIR | PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. | Sophia Althammer, Sebastian Hofsttter, Mete Sertkan, Suzan Verberne, Allan Hanbury |
| 2022 | ECIR | Establishing Strong Baselines For TripClick Health Retrieval. | Sebastian Hofsttter, Sophia Althammer, Mete Sertkan, Allan Hanbury |
| 2022 | RecSys | Diversifying Sentiments in News Recommendation. | Mete Sertkan, Sophia Althammer, Sebastian Hofsttter, Julia Neidhardt |
| 2022 | SIGCSE | A Time-Optimized Content Creation Workflow for Remote Teaching. | Sebastian Hofsttter, Sophia Althammer, Mete Sertkan, Allan Hanbury |
| 2021 | ECIR | Cross-Domain Retrieval in the Legal and Patent Domains: A Reproducibility Study. | Sophia Althammer, Sebastian Hofsttter, Allan Hanbury |
| 2021 | ECIR | Mitigating the Position Bias of Transformer Models in Passage Re-ranking. | Sebastian Hofsttter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury |
| 2021 | SIGIR | Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. | Sebastian Hofsttter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury |
| 2021 | SIGIR | Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. | Sebastian Hofsttter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury |
| 2021 | SIGIR | Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. | Bhaskar Mitra, Sebastian Hofsttter, Hamed Zamani, Nick Craswell |
| 2020 | CIKM | Learning to Re-Rank with Contextualized Stopwords. | Sebastian Hofsttter, Aldo Lipani, Markus Zlabinger, Allan Hanbury |
| 2020 | CIKM | Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. | Sebastian Hofsttter, Markus Zlabinger, Mete Sertkan, Michael Schrder, Allan Hanbury |
| 2020 | ECAI | Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. | Sebastian Hofsttter, Markus Zlabinger, Allan Hanbury |
| 2020 | ECIR | Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results. | Sebastian Hofsttter, Markus Zlabinger, Allan Hanbury |
| 2020 | ECIR | DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. | Markus Zlabinger, Sebastian Hofsttter, Navid Rekabsaz, Allan Hanbury |
| 2020 | EMNLP | Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports. | Markus Zlabinger, Marta Sabou, Sebastian Hofsttter, Allan Hanbury |
| 2020 | SIGIR | End-to-End Contextualized Document Indexing and Retrieval with Neural Networks. | Sebastian Hofsttter |
| 2020 | SIGIR | Local Self-Attention over Long Text for Efficient Document Retrieval. | Sebastian Hofsttter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury |
| 2020 | SIGIR | DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. | Markus Zlabinger, Marta Sabou, Sebastian Hofsttter, Mete Sertkan, Allan Hanbury |
| 2019 | ECIR | Enriching Word Embeddings for Patent Retrieval with Global Context. | Sebastian Hofsttter, Navid Rekabsaz, Mihai Lupu, Carsten Eickhoff, Allan Hanbury |
| 2019 | SIGIR | Let's measure run time! Extending the IR replicability infrastructure to include performance aspects. | Sebastian Hofsttter, Allan Hanbury |
| 2019 | SIGIR | On the Effect of Low-Frequency Terms on Neural-IR Models. | Sebastian Hofsttter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury |