Sebastian Hofstätter

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 62

Top Topics

Document Retrieval

News Recommendation

Text Generation

Top Venues

Publications

Pat Verga, Sebastian Hofstätter, Sophia Althammer, Yixuan Su, Aleksandra Piktus, Arkady Arkhangorodsky, Minjie Xu, Naomi White, Patrick S. H. Lewis
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models. CoRR (2024)
Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. SIGIR (2023)
David Banyasz, Sebastian Hofstätter, Allan Hanbury
Search in Archival Facsimile Documents for Digital History. e-Science (2023)
Mete Sertkan, Sophia Althammer, Sebastian Hofstätter
Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation. CoRR (2023)
Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Peter Knees, Julia Neidhardt
Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation. Perspectives@RecSys (2023)
Mete Sertkan, Sophia Althammer, Sebastian Hofstätter
Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation. ACL (demo) (2023)
Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection. CoRR (2023)
Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection. SIGIR-AP (2023)
Xinyu Zhang, Sebastian Hofstätter, Patrick Lewis, Raphael Tang, Jimmy Lin
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models. CoRR (2023)
Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury
Establishing Strong Baselines for TripClick Health Retrieval. CoRR (2022)
Sophia Althammer, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. CIKM (2022)
Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. CoRR (2022)
Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling. CoRR (2022)
Sebastian Hofstätter, Omar Khattab, Sophia Althammer, Mete Sertkan, Allan Hanbury
Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. CIKM (2022)
Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. CoRR (2022)
Sebastian Hofstätter, Omar Khattab, Sophia Althammer, Mete Sertkan, Allan Hanbury
Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. CoRR (2022)
Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury
A Time-Optimized Content Creation Workflow for Remote Teaching. SIGCSE (1) (2022)
Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. ECIR (1) (2022)
Sophia Althammer, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. CoRR (2022)
Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Julia Neidhardt
Diversifying Sentiments in News Recommendation. Perspectives@RecSys (2022)
Sebastian Hofstätter, Nick Craswell, Bhaskar Mitra, Hamed Zamani, Allan Hanbury
Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems. CoRR (2022)
Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury
Establishing Strong Baselines For TripClick Health Retrieval. ECIR (2) (2022)
Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. CoRR (2021)
Sophia Althammer, Mark Buckley, Sebastian Hofstätter, Allan Hanbury
Linguistically Informed Masking for Representation Learning in the Patent Domain. CoRR (2021)
Sophia Althammer, Sebastian Hofstätter, Allan Hanbury
Cross-Domain Retrieval in the Legal and Patent Domains: A Reproducibility Study. ECIR (2) (2021)
Sebastian Hofstätter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury
Mitigating the Position Bias of Transformer Models in Passage Re-ranking. ECIR (1) (2021)
Sebastian Hofstätter, Mete Sertkan, Allan Hanbury
TU Wien at TREC DL and Podcast 2021: Simple Compression for Dense Retrieval. TREC (2021)
Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. SIGIR (2021)
Sebastian Hofstätter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking. CoRR (2021)
Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. CoRR (2021)
Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury
A Time-Optimized Content Creation Workflow for Remote Teaching. CoRR (2021)
Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. CoRR (2021)
Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. SIGIR (2021)
Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. SIGIR (2021)
Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CIKM (2020)
Sebastian Hofstätter, Allan Hanbury
Evaluating Transformer-Kernel Models at TREC Deep Learning 2020. TREC (2020)
Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CoRR (2020)
Sophia Althammer, Sebastian Hofstätter, Allan Hanbury
Cross-domain Retrieval in the Legal and Patent Domains: a Reproducability Study. CoRR (2020)
Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
Conformer-Kernel with Query Term Independence for Document Retrieval. CoRR (2020)
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. CoRR (2020)
Sebastian Hofstätter
End-to-End Contextualized Document Indexing and Retrieval with Neural Networks. SIGIR (2020)
Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. CoRR (2020)
Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury
DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. ECIR (2) (2020)
Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. TREC (2020)
Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury
Local Self-Attention over Long Text for Efficient Document Retrieval. CoRR (2020)
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. ECAI (2020)
Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, Allan Hanbury
Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation. CoRR (2020)
Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Allan Hanbury
Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports. EMNLP (Findings) (2020)
Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. CoRR (2020)
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results. ECIR (2) (2020)
Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. SIGIR (2020)
Sebastian Hofstätter, Aldo Lipani, Markus Zlabinger, Allan Hanbury
Learning to Re-Rank with Contextualized Stopwords. CIKM (2020)
Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury
Local Self-Attention over Long Text for Efficient Document Retrieval. SIGIR (2020)
Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury
DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. CoRR (2020)
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. CoRR (2019)
Sebastian Hofstätter, Allan Hanbury
Let's measure run time! Extending the IR replicability infrastructure to include performance aspects. OSIRRC@SIGIR (2019)
Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury
On the Effect of Low-Frequency Terms on Neural-IR Models. CoRR (2019)
Sebastian Hofstätter, Allan Hanbury
Let's measure run time! Extending the IR replicability infrastructure to include performance aspects. CoRR (2019)
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. TREC (2019)
Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results. CoRR (2019)
Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury
On the Effect of Low-Frequency Terms on Neural-IR Models. SIGIR (2019)
Sebastian Hofstätter, Navid Rekabsaz, Mihai Lupu, Carsten Eickhoff, Allan Hanbury
Enriching Word Embeddings for Patent Retrieval with Global Context. ECIR (1) (2019)