David Rau

Orcid: 0000-0002-1964-1356

According to our database1, David Rau authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Revisiting Bag of Words Document Representations for Efficient Ranking with Transformers.
ACM Trans. Inf. Syst., September, 2024

Context Embeddings for Efficient Answer Generation in RAG.
CoRR, 2024

Retrieval-augmented generation in multilingual settings.
CoRR, 2024

BERGEN: A Benchmarking Library for Retrieval-Augmented Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Query Generation Using Large Language Models - A Reproducibility Study of Unsupervised Passage Reranking.
Proceedings of the Advances in Information Retrieval, 2024

2023
University of Amsterdam at the CLEF 2023 SimpleText Track.
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.
Proceedings of the Thirty-First Text REtrieval Conference, 2022

The Role of Complex NLP in Transformers for Text Ranking.
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.
Proceedings of the 27th IEEE International Conference on Emerging Technologies and Factory Automation, 2022

How Different are Pre-trained Transformers for Text Ranking?
Proceedings of the Advances in Information Retrieval, 2022

University of Amsterdam at the CLEF 2022 SimpleText Track.
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.
Proceedings of the Thirtieth Text REtrieval Conference, 2021

2020
Impact of Tokenization, Pretraining Task, and Transformer Depth on Text Ranking.
Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

2019
Point-less: More Abstractive Summarization with Pointer-Generator Networks.
CoRR, 2019

On the Realization of Compositionality in Neural Networks.
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019


  Loading...