User Fairness in Recommender Systems. - Jurek Leonhardt; Avishek Anand; Megha Khosla (WWW (Companion Volume), 2018)

Node Representation Learning for Directed Graphs. - Megha Khosla; Jurek Leonhardt; Wolfgang Nejdl; Avishek Anand (ECML/PKDD (1), 2019)

Boilerplate Removal using a Neural Sequence Labeling Model. - Jurek Leonhardt; Avishek Anand; Megha Khosla (WWW (Companion Volume), 2020)

Exploiting Sentence-Level Representations for Passage Ranking. - Jurek Leonhardt; Fabian Beringer; Avishek Anand (LWDA, 2021)

L3S at the TREC 2021 Deep Learning Track. - Jurek Leonhardt; Avishek Anand; Koustav Rudra (TREC, 2021)

Learnt Sparsity for Effective and Interpretable Document Ranking. - Jurek Leonhardt; Koustav Rudra; Avishek Anand (CoRR, 2021)

Fast Forward Indexes for Efficient Document Ranking. - Jurek Leonhardt; Koustav Rudra; Megha Khosla; Abhijit Anand; Avishek Anand (CoRR, 2021)

Supervised Contrastive Learning Approach for Contextual Ranking. - Abhijit Anand; Jurek Leonhardt; Koustav Rudra; Avishek Anand (ICTIR, 2022)

Efficient Neural Ranking using Forward Indexes. - Jurek Leonhardt; Koustav Rudra; Megha Khosla; Abhijit Anand; Avishek Anand (WWW, 2022)

Distribution-Aligned Fine-Tuning for Efficient Neural Retrieval. - Jurek Leonhardt; Marcel Jahnke; Avishek Anand (CoRR, 2022)

Efficient and Explainable Neural Ranking. - Jurek Leonhardt (2023)

Extractive Explanations for Interpretable Text Ranking. - Jurek Leonhardt; Koustav Rudra; Avishek Anand (ACM Trans. Inf. Syst., 2023)

Understanding the User: An Intent-Based Ranking Dataset. - Abhijit Anand; Jurek Leonhardt; Venktesh V; Avishek Anand (CIKM, 2024)

Data Augmentation for Sample Efficient and Robust Document Ranking. - Abhijit Anand; Jurek Leonhardt; Jaspreet Singh; Koustav Rudra; Avishek Anand (ACM Trans. Inf. Syst., 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., 2024)