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)

Description-based Label Attention Classifier for Explainable ICD-9 Classification. - Malte Feucht; Zhiliang Wu; Sophia Althammer; Volker Tresp (W-NUT, 2021)

RUDI: Real-Time Learning to Update Dense Retrieval Indices. - Sophia Althammer (DESIRES, 2021)

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)

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

DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval. - Sophia Althammer; Arian Askari; Suzan Verberne; 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)

Continually Adaptive Neural Retrieval Across the Legal, Patent and Health Domain. - Sophia Althammer (ECIR (2), 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)

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

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)

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)