David Rau

According to our database, David Rau authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Query Generation Using Large Language Models - A Reproducibility Study of Unsupervised Passage Reranking.

David Rau, Jaap Kamps

Proceedings of the Advances in Information Retrieval, 2024

2023

University of Amsterdam at the CLEF 2023 SimpleText Track.

Roos Hutter, Jop Sutmuller, Mary Adib, David Rau, Jaap Kamps

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

Efficient Document Representations for Neural Text Ranking.

David Rau, Jaap Kamps

Proceedings of the Thirty-First Text REtrieval Conference, 2022

The Role of Complex NLP in Transformers for Text Ranking.

David Rau, Jaap Kamps

Proceedings of the ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11, 2022

Towards Automatic Inventory Checking Using an Autonomous Unmanned Aerial Vehicle.

Jaromir Stanko, Filip Stec, Lukas Palkovic, Jozef Rodina, David Rau

Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

How Different are Pre-trained Transformers for Text Ranking?

David Rau, Jaap Kamps

Proceedings of the Advances in Information Retrieval, 2022

University of Amsterdam at the CLEF 2022 SimpleText Track.

Femke Mostert, Ashmita Sampatsing, Mink Spronk, David Rau, Jaap Kamps

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

2021

Recall Aspects of Transformers for Text Ranking.

David Rau, Jaap Kamps

Proceedings of the Thirtieth Text REtrieval Conference, 2021

2020

Impact of Tokenization, Pretraining Task, and Transformer Depth on Text Ranking.

Jaap Kamps, Nikolaos Kondylidis, David Rau

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

2019

Point-less: More Abstractive Summarization with Pointer-Generator Networks.

Freek Boutkan, Jorn Ranzijn, David Rau, Eelco van der Wel

CoRR, 2019

On the Realization of Compositionality in Neural Networks.

Joris Baan, Jana Leible, Mitja Nikolaus, David Rau, Dennis Ulmer, Tim Baumgärtner, Dieuwke Hupkes, Elia Bruni

Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019