Sebastian Hofstätter

63 papers A* 8A 5B 1Journal 30Unranked 19

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Rank-Without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models. ECIR (2) Crystina Zhang, Sebastian Hofstätter, Patrick Lewis, Raphael Tang, Jimmy Lin
2024	J	`jnl`	Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models. CoRR Pat Verga, Sebastian Hofstätter, Sophia Althammer, Yixuan Su, Aleksandra Piktus, Arkady Arkhangorodsky, Minjie Xu, Naomi White, Patrick Lewis
2023	—	`conf`	Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection. SIGIR-AP Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
2023	J	`jnl`	Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection. CoRR Sophia Althammer, Guido Zuccon, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
2023	—	`conf`	Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation. Perspectives@RecSys Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Peter Knees, Julia Neidhardt
2023	A*	`conf`	FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. SIGIR Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
2023	—	`conf`	Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation. ACL (demo) Mete Sertkan, Sophia Althammer, Sebastian Hofstätter
2023	J	`jnl`	Ranger: A Toolkit for Effect-Size Based Multi-Task Evaluation. CoRR Mete Sertkan, Sophia Althammer, Sebastian Hofstätter
2023	J	`jnl`	Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models. CoRR Xinyu Zhang, Sebastian Hofstätter, Patrick Lewis, Raphael Tang, Jimmy Lin
2023	B	`conf`	Search in Archival Facsimile Documents for Digital History. e-Science David Banyasz, Sebastian Hofstätter, Allan Hanbury
2022	—	`conf`	A Time-Optimized Content Creation Workflow for Remote Teaching. SIGCSE (1) Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury
2022	J	`jnl`	Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems. CoRR Sebastian Hofstätter, Nick Craswell, Bhaskar Mitra, Hamed Zamani, Allan Hanbury
2022	—	`conf`	Diversifying Sentiments in News Recommendation. Perspectives@RecSys Mete Sertkan, Sophia Althammer, Sebastian Hofstätter, Julia Neidhardt
2022	—	`conf`	Establishing Strong Baselines For TripClick Health Retrieval. ECIR (2) Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury
2022	J	`jnl`	Establishing Strong Baselines for TripClick Health Retrieval. CoRR Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury
2022	J	`jnl`	FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation. CoRR Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
2022	A	`conf`	Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. CIKM Sebastian Hofstätter, Omar Khattab, Sophia Althammer, Mete Sertkan, Allan Hanbury
2022	J	`jnl`	Introducing Neural Bag of Whole-Words with ColBERTer: Contextualized Late Interactions using Enhanced Reduction. CoRR Sebastian Hofstätter, Omar Khattab, Sophia Althammer, Mete Sertkan, Allan Hanbury
2022	J	`jnl`	Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling. CoRR Sebastian Hofstätter, Jiecao Chen, Karthik Raman, Hamed Zamani
2022	—	`conf`	PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. ECIR (1) Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury
2022	J	`jnl`	PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval. CoRR Sophia Althammer, Sebastian Hofstätter, Mete Sertkan, Suzan Verberne, Allan Hanbury
2022	A	`conf`	TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. CIKM Sophia Althammer, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
2022	J	`jnl`	TripJudge: A Relevance Judgement Test Collection for TripClick Health Retrieval. CoRR Sophia Althammer, Sebastian Hofstätter, Suzan Verberne, Allan Hanbury
2021	J	`jnl`	A Time-Optimized Content Creation Workflow for Remote Teaching. CoRR Sebastian Hofstätter, Sophia Althammer, Mete Sertkan, Allan Hanbury
2021	—	`conf`	Cross-Domain Retrieval in the Legal and Patent Domains: A Reproducibility Study. ECIR (2) Sophia Althammer, Sebastian Hofstätter, Allan Hanbury
2021	A*	`conf`	Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. SIGIR Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury
2021	J	`jnl`	Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling. CoRR Sebastian Hofstätter, Sheng-Chieh Lin, Jheng-Hong Yang, Jimmy Lin, Allan Hanbury
2021	A*	`conf`	Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. SIGIR Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
2021	J	`jnl`	Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence. CoRR Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
2021	A*	`conf`	Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. SIGIR Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
2021	J	`jnl`	Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking. CoRR Sebastian Hofstätter, Bhaskar Mitra, Hamed Zamani, Nick Craswell, Allan Hanbury
2021	J	`jnl`	Linguistically Informed Masking for Representation Learning in the Patent Domain. CoRR Sophia Althammer, Mark Buckley, Sebastian Hofstätter, Allan Hanbury
2021	J	`jnl`	Mitigating the Position Bias of Transformer Models in Passage Re-Ranking. CoRR Sebastian Hofstätter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury
2021	—	`conf`	Mitigating the Position Bias of Transformer Models in Passage Re-ranking. ECIR (1) Sebastian Hofstätter, Aldo Lipani, Sophia Althammer, Markus Zlabinger, Allan Hanbury
2021	—	`conf`	TU Wien at TREC DL and Podcast 2021: Simple Compression for Dense Retrieval. TREC Sebastian Hofstätter, Mete Sertkan, Allan Hanbury
2020	—	`conf`	Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. TREC Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
2020	J	`jnl`	Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track. CoRR Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
2020	J	`jnl`	Conformer-Kernel with Query Term Independence for Document Retrieval. CoRR Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell
2020	J	`jnl`	Cross-domain Retrieval in the Legal and Patent Domains: a Reproducability Study. CoRR Sophia Althammer, Sebastian Hofstätter, Allan Hanbury
2020	A*	`conf`	DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. SIGIR Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury
2020	J	`jnl`	DEXA: Supporting Non-Expert Annotators with Dynamic Examples from Experts. CoRR Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Mete Sertkan, Allan Hanbury
2020	—	`conf`	DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. ECIR (2) Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury
2020	J	`jnl`	DSR: A Collection for the Evaluation of Graded Disease-Symptom Relations. CoRR Markus Zlabinger, Sebastian Hofstätter, Navid Rekabsaz, Allan Hanbury
2020	—	`conf`	Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports. EMNLP (Findings) Markus Zlabinger, Marta Sabou, Sebastian Hofstätter, Allan Hanbury
2020	A*	`conf`	End-to-End Contextualized Document Indexing and Retrieval with Neural Networks. SIGIR Sebastian Hofstätter
2020	—	`conf`	Evaluating Transformer-Kernel Models at TREC Deep Learning 2020. TREC Sebastian Hofstätter, Allan Hanbury
2020	A	`conf`	Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CIKM Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury
2020	J	`jnl`	Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering. CoRR Sebastian Hofstätter, Markus Zlabinger, Mete Sertkan, Michael Schröder, Allan Hanbury
2020	J	`jnl`	Improving Efficient Neural Ranking Models with Cross-Architecture Knowledge Distillation. CoRR Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, Allan Hanbury
2020	A	`conf`	Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. ECAI Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
2020	J	`jnl`	Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking. CoRR Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
2020	A	`conf`	Learning to Re-Rank with Contextualized Stopwords. CIKM Sebastian Hofstätter, Aldo Lipani, Markus Zlabinger, Allan Hanbury
2020	A*	`conf`	Local Self-Attention over Long Text for Efficient Document Retrieval. SIGIR Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury
2020	J	`jnl`	Local Self-Attention over Long Text for Efficient Document Retrieval. CoRR Sebastian Hofstätter, Hamed Zamani, Bhaskar Mitra, Nick Craswell, Allan Hanbury
2020	—	`conf`	Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-ranking Results. ECIR (2) Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
2019	—	`conf`	Enriching Word Embeddings for Patent Retrieval with Global Context. ECIR (1) Sebastian Hofstätter, Navid Rekabsaz, Mihai Lupu, Carsten Eickhoff, Allan Hanbury
2019	—	`conf`	Let's measure run time! Extending the IR replicability infrastructure to include performance aspects. OSIRRC@SIGIR Sebastian Hofstätter, Allan Hanbury
2019	J	`jnl`	Let's measure run time! Extending the IR replicability infrastructure to include performance aspects. CoRR Sebastian Hofstätter, Allan Hanbury
2019	J	`jnl`	Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results. CoRR Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
2019	A*	`conf`	On the Effect of Low-Frequency Terms on Neural-IR Models. SIGIR Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury
2019	J	`jnl`	On the Effect of Low-Frequency Terms on Neural-IR Models. CoRR Sebastian Hofstätter, Navid Rekabsaz, Carsten Eickhoff, Allan Hanbury
2019	—	`conf`	TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. TREC Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury
2019	J	`jnl`	TU Wien @ TREC Deep Learning '19 - Simple Contextualization for Re-ranking. CoRR Sebastian Hofstätter, Markus Zlabinger, Allan Hanbury