David Rau

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Document Representation

Dublin City University

Textual Features

Top Venues

CLEF (Working Notes)

BlackboxNLP@ACL

Publications

David Rau, Jaap Kamps
Query Generation Using Large Language Models - A Reproducibility Study of Unsupervised Passage Reranking. ECIR (4) (2024)
David Rau, Hervé Déjean, Nadezhda Chirkova, Thibault Formal, Shuai Wang, Vassilina Nikoulina, Stéphane Clinchant
BERGEN: A Benchmarking Library for Retrieval-Augmented Generation. CoRR (2024)
Nadezhda Chirkova, David Rau, Hervé Déjean, Thibault Formal, Stéphane Clinchant, Vassilina Nikoulina
Retrieval-augmented generation in multilingual settings. CoRR (2024)
David Rau, Shuai Wang, Hervé Déjean, Stéphane Clinchant
Context Embeddings for Efficient Answer Generation in RAG. CoRR (2024)
David Rau, Mostafa Dehghani, Jaap Kamps
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers. ACM Trans. Inf. Syst. 42 (5) (2024)
Roos Hutter, Jop Sutmuller, Mary Adib, David Rau, Jaap Kamps
University of Amsterdam at the CLEF 2023 SimpleText Track. CLEF (Working Notes) (2023)
David Rau, Jaap Kamps
The Role of Complex NLP in Transformers for Text Ranking. ICTIR (2022)
David Rau, Jaap Kamps
How Different are Pre-trained Transformers for Text Ranking? CoRR (2022)
Jaromir Stanko, Filip Stec, Lukas Palkovic, Jozef Rodina, David Rau
Towards Automatic Inventory Checking Using an Autonomous Unmanned Aerial Vehicle. ETFA (2022)
David Rau, Jaap Kamps
Efficient Document Representations for Neural Text Ranking. TREC (2022)
David Rau, Jaap Kamps
The Role of Complex NLP in Transformers for Text Ranking? CoRR (2022)
Femke Mostert, Ashmita Sampatsing, Mink Spronk, David Rau, Jaap Kamps
University of Amsterdam at the CLEF 2022 SimpleText Track. CLEF (Working Notes) (2022)
David Rau, Jaap Kamps
How Different are Pre-trained Transformers for Text Ranking? ECIR (2) (2022)
David Rau, Jaap Kamps
Recall Aspects of Transformers for Text Ranking. TREC (2021)
Jaap Kamps, Nikolaos Kondylidis, David Rau
Impact of Tokenization, Pretraining Task, and Transformer Depth on Text Ranking. TREC (2020)
Joris Baan, Jana Leible, Mitja Nikolaus, David Rau, Dennis Ulmer, Tim Baumgärtner, Dieuwke Hupkes, Elia Bruni
On the Realization of Compositionality in Neural Networks. BlackboxNLP@ACL (2019)
Freek Boutkan, Jorn Ranzijn, David Rau, Eelco van der Wel
Point-less: More Abstractive Summarization with Pointer-Generator Networks. CoRR (2019)
Joris Baan, Jana Leible, Mitja Nikolaus, David Rau, Dennis Ulmer, Tim Baumgärtner, Dieuwke Hupkes, Elia Bruni
On the Realization of Compositionality in Neural Networks. CoRR (2019)