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ORCIDJurek Leonhardt
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Books and Theses
- 2023
[b1]Jurek Leonhardt:
Efficient and Explainable Neural Ranking. Hannover University, Germany, 2023
Journal Articles
- 2024
- [j3]Jurek Leonhardt
, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Efficient Neural Ranking Using Forward Indexes and Lightweight Encoders. ACM Trans. Inf. Syst. 42(5): 117:1-117:34 (2024) - [j2]Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra, Avishek Anand:
Data Augmentation for Sample Efficient and Robust Document Ranking. ACM Trans. Inf. Syst. 42(5): 119:1-119:29 (2024) - 2023
- [j1]Jurek Leonhardt, Koustav Rudra, Avishek Anand:
Extractive Explanations for Interpretable Text Ranking. ACM Trans. Inf. Syst. 41(4): 88:1-88:31 (2023)
Conference and Workshop Papers
- 2024
- [c8]Abhijit Anand, Jurek Leonhardt, Venktesh V, Avishek Anand:
Understanding the User: An Intent-Based Ranking Dataset. CIKM 2024: 5323-5327 - 2022
- [c7]Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand:
Supervised Contrastive Learning Approach for Contextual Ranking. ICTIR 2022: 61-71 - [c6]Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Efficient Neural Ranking using Forward Indexes. WWW 2022: 266-276 - 2021
- [c5]Jurek Leonhardt, Fabian Beringer, Avishek Anand:
Exploiting Sentence-Level Representations for Passage Ranking. LWDA 2021: 287-302 - [c4]Jurek Leonhardt, Avishek Anand, Koustav Rudra:
L3S at the TREC 2021 Deep Learning Track. TREC 2021 - 2020
- [c3]Jurek Leonhardt, Avishek Anand, Megha Khosla:
Boilerplate Removal using a Neural Sequence Labeling Model. WWW (Companion Volume) 2020: 226-229 - 2019
- [c2]Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand:
Node Representation Learning for Directed Graphs. ECML/PKDD (1) 2019: 395-411 - 2018
- [c1]Jurek Leonhardt, Avishek Anand, Megha Khosla:
User Fairness in Recommender Systems. WWW (Companion Volume) 2018: 101-102
Informal and Other Publications
- 2024
- [i11]Abhijit Anand, Jurek Leonhardt, Venktesh V, Avishek Anand:
Understanding the User: An Intent-Based Ranking Dataset. CoRR abs/2408.17103 (2024) - 2023
- [i10]Jurek Leonhardt, Henrik Müller, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Efficient Neural Ranking using Forward Indexes and Lightweight Encoders. CoRR abs/2311.01263 (2023) - [i9]Abhijit Anand, Jurek Leonhardt, Jaspreet Singh, Koustav Rudra, Avishek Anand:
Data Augmentation for Sample Efficient and Robust Document Ranking. CoRR abs/2311.15426 (2023) - 2022
- [i8]Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand:
Supervised Contrastive Learning Approach for Contextual Ranking. CoRR abs/2207.03153 (2022) - [i7]Jurek Leonhardt, Marcel Jahnke, Avishek Anand:
Distribution-Aligned Fine-Tuning for Efficient Neural Retrieval. CoRR abs/2211.04942 (2022) - 2021
- [i6]Jurek Leonhardt, Fabian Beringer, Avishek Anand:
Exploiting Sentence-Level Representations for Passage Ranking. CoRR abs/2106.07316 (2021) - [i5]Jurek Leonhardt, Koustav Rudra, Avishek Anand:
Learnt Sparsity for Effective and Interpretable Document Ranking. CoRR abs/2106.12460 (2021) - [i4]Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand:
Fast Forward Indexes for Efficient Document Ranking. CoRR abs/2110.06051 (2021) - 2020
- [i3]Jurek Leonhardt, Avishek Anand, Megha Khosla:
Boilerplate Removal using a Neural Sequence Labeling Model. CoRR abs/2004.14294 (2020) - 2018
- [i2]Jurek Leonhardt, Avishek Anand, Megha Khosla:
User Fairness in Recommender Systems. CoRR abs/1807.06349 (2018) - [i1]Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl, Avishek Anand:
Node Representation Learning for Directed Graphs. CoRR abs/1810.09176 (2018)
Coauthor Index
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