Jurek Leonhardt

23 papers A* 1A 1Misc 1Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Data Augmentation for Sample Efficient and Robust Document Ranking.
ACM Trans. Inf. Syst.
Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra, Avishek Anand
2024 J jnl
Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders.
ACM Trans. Inf. Syst.
Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
2024 A conf
Understanding the User: An Intent-Based Ranking Dataset.
CIKM
Abhijit Anand, Jurek Leonhardt, Venktesh V, Avishek Anand
2024 J jnl
Understanding the User: An Intent-Based Ranking Dataset.
CoRR
Abhijit Anand, Jurek Leonhardt, Venktesh V, Avishek Anand
2023 J jnl
Data Augmentation for Sample Efficient and Robust Document Ranking.
CoRR
Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra, Avishek Anand
2023 J jnl
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders.
CoRR
Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
2023 — —
Efficient and Explainable Neural Ranking.
Jurek Leonhardt
2023 J jnl
Extractive Explanations for Interpretable Text Ranking.
ACM Trans. Inf. Syst.
Jurek Leonhardt, Koustav Rudra, Avishek Anand
2022 J jnl
Distribution-Aligned Fine-Tuning for Efficient Neural Retrieval.
CoRR
Jurek Leonhardt, Marcel Jahnke, Avishek Anand
2022 A* conf
Efficient Neural Ranking using Forward Indexes.
WWW
Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
2022 Misc conf
Supervised Contrastive Learning Approach for Contextual Ranking.
ICTIR
Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand
2022 J jnl
Supervised Contrastive Learning Approach for Contextual Ranking.
CoRR
Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand
2021 — conf
Exploiting Sentence-Level Representations for Passage Ranking.
LWDA
Jurek Leonhardt, Fabian Beringer, Avishek Anand
2021 J jnl
Exploiting Sentence-Level Representations for Passage Ranking.
CoRR
Jurek Leonhardt, Fabian Beringer, Avishek Anand
2021 J jnl
Fast Forward Indexes for Efficient Document Ranking.
CoRR
Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand
2021 — conf
L3S at the TREC 2021 Deep Learning Track.
TREC
Jurek Leonhardt, Avishek Anand, Koustav Rudra
2021 J jnl
Learnt Sparsity for Effective and Interpretable Document Ranking.
CoRR
Jurek Leonhardt, Koustav Rudra, Avishek Anand
2020 — conf
Boilerplate Removal using a Neural Sequence Labeling Model.
WWW (Companion Volume)
Jurek Leonhardt, Avishek Anand, Megha Khosla
2020 J jnl
Boilerplate Removal using a Neural Sequence Labeling Model.
CoRR
Jurek Leonhardt, Avishek Anand, Megha Khosla
2019 — conf
Node Representation Learning for Directed Graphs.
ECML/PKDD (1)
Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand
2018 J jnl
Node Representation Learning for Directed Graphs.
CoRR
Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand
2018 — conf
User Fairness in Recommender Systems.
WWW (Companion Volume)
Jurek Leonhardt, Avishek Anand, Megha Khosla
2018 J jnl
User Fairness in Recommender Systems.
CoRR
Jurek Leonhardt, Avishek Anand, Megha Khosla