Jurek Leonhardt

According to our database, Jurek Leonhardt authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders.

Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand

ACM Trans. Inf. Syst., September, 2024

Data Augmentation for Sample Efficient and Robust Document Ranking.

Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra, Avishek Anand

ACM Trans. Inf. Syst., September, 2024

Understanding the User: An Intent-Based Ranking Dataset.

Abhijit Anand, Jurek Leonhardt, Venktesh V, Avishek Anand

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Extractive Explanations for Interpretable Text Ranking.

Jurek Leonhardt, Koustav Rudra, Avishek Anand

ACM Trans. Inf. Syst., October, 2023

Efficient and Explainable Neural Ranking.

Jurek Leonhardt

PhD thesis, 2023

2022

Distribution-Aligned Fine-Tuning for Efficient Neural Retrieval.

Jurek Leonhardt, Marcel Jahnke, Avishek Anand

CoRR, 2022

Efficient Neural Ranking using Forward Indexes.

Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Supervised Contrastive Learning Approach for Contextual Ranking.

Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand

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

2021

Fast Forward Indexes for Efficient Document Ranking.

Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand

CoRR, 2021

Learnt Sparsity for Effective and Interpretable Document Ranking.

Jurek Leonhardt, Koustav Rudra, Avishek Anand

CoRR, 2021

L3S at the TREC 2021 Deep Learning Track.

Jurek Leonhardt, Avishek Anand, Koustav Rudra

Proceedings of the Thirtieth Text REtrieval Conference, 2021

Exploiting Sentence-Level Representations for Passage Ranking.

Jurek Leonhardt, Fabian Beringer, Avishek Anand

Proceedings of the LWDA 2021 Workshops: FGWM, 2021

2020

Boilerplate Removal using a Neural Sequence Labeling Model.

Jurek Leonhardt, Avishek Anand, Megha Khosla

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

2019

Node Representation Learning for Directed Graphs.

Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

User Fairness in Recommender Systems.

Jurek Leonhardt, Avishek Anand, Megha Khosla

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018