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Sophia Althammer
Sophia Althammer
Research Scientist @ Cohere
Verified email at tuwien.ac.at - Homepage
Title
Cited by
Cited by
Year
Improving efficient neural ranking models with cross-architecture knowledge distillation
S Hofstätter, S Althammer, M Schröder, M Sertkan, A Hanbury
arXiv preprint arXiv:2010.02666, 2020
2192020
DoSSIER@ COLIEE 2021: leveraging dense retrieval and summarization-based re-ranking for case law retrieval
S Althammer, A Askari, S Verberne, A Hanbury
arXiv preprint arXiv:2108.03937, 2021
392021
Introducing neural bag of whole-words with colberter: Contextualized late interactions using enhanced reduction
S Hofstätter, O Khattab, S Althammer, M Sertkan, A Hanbury
Proceedings of the 31st ACM International Conference on Information …, 2022
352022
Description-based label attention classifier for explainable ICD-9 classification
M Feucht, Z Wu, S Althammer, V Tresp
arXiv preprint arXiv:2109.12026, 2021
232021
Cross-domain retrieval in the legal and patent domains: a reproducibility study
S Althammer, S Hofstätter, A Hanbury
Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021
212021
Mitigating the position bias of transformer models in passage re-ranking
S Hofstätter, A Lipani, S Althammer, M Zlabinger, A Hanbury
Advances in Information Retrieval: 43rd European Conference on IR Research …, 2021
202021
PARM: A Paragraph Aggregation Retrieval Model for Dense Document-to-Document Retrieval
S Althammer, S Hofstätter, M Sertkan, S Verberne, A Hanbury
Advances in Information Retrieval, 44rd European Conference on IR Research …, 2022
162022
Linguistically informed masking for representation learning in the patent domain
S Althammer, M Buckley, S Hofstätter, A Hanbury
arXiv preprint arXiv:2106.05768, 2021
142021
Establishing strong baselines for tripclick health retrieval
S Hofstätter, S Althammer, M Sertkan, A Hanbury
European Conference on Information Retrieval, 144-152, 2022
122022
TripJudge: A relevance judgement test collection for TripClick health retrieval
S Althammer, S Hofstätter, S Verberne, A Hanbury
Proceedings of the 31st ACM International Conference on Information …, 2022
112022
Improving efficient neural ranking models with cross-architecture knowledge distillation (2020)
S Hofstätter, S Althammer, M Schröder, M Sertkan, A Hanbury
URL https://arxiv. org/abs, 2010
72010
Annotating Data for Fine-Tuning a Neural Ranker? Current Active Learning Strategies are not Better than Random Selection
S Althammer, G Zuccon, S Hofstätter, S Verberne, A Hanbury
Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023
52023
Ranger: a toolkit for effect-size based multi-task evaluation
M Sertkan, S Althammer, S Hofstätter
arXiv preprint arXiv:2305.15048, 2023
42023
Diversifying Sentiments in News Recommendation.
M Sertkan, S Althammer, S Hofstätter, J Neidhardt
Perspectives@ RecSys, 2022
42022
RUDI: Real-Time Learning to Update Dense Retrieval Indices.
S Althammer
DESIRES, 173-175, 2021
22021
Exploring Effect-Size-Based Meta-Analysis for Multi-Dataset Evaluation.
M Sertkan, S Althammer, S Hofstätter, P Knees, J Neidhardt
Perspectives@ RecSys, 2023
12023
A Time-Optimized Content Creation Workflow for Remote Teaching
S Hofstätter, S Althammer, M Sertkan, A Hanbury
Proceedings of the 53rd ACM Technical Symposium on Computer Science …, 2022
12022
PatentExplorer: Refining Patent Search with Domain-specific Topic Models
M Buckley, S Althammer, A Qoku
12021
Addressing Data Availability and Document-to-Document Retrieval for Domain-specific Neural Rankers
S Althammer
Technische Universität Wien, 2024
2024
Continually Adaptive Neural Retrieval Across the Legal, Patent and Health Domain
S Althammer
European Conference on Information Retrieval, 445-454, 2022
2022
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