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Avishek Anand

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Supervised Contrastive Learning Approach for Contextual Ranking

Jul 07, 2022
Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand

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BAGEL: A Benchmark for Assessing Graph Neural Network Explanations

Jun 28, 2022
Mandeep Rathee, Thorben Funke, Avishek Anand, Megha Khosla

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BERT Rankers are Brittle: a Study using Adversarial Document Perturbations

Jun 23, 2022
Yumeng Wang, Lijun Lyu, Avishek Anand

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SparCAssist: A Model Risk Assessment Assistant Based on Sparse Generated Counterfactuals

May 03, 2022
Zijian Zhang, Vinay Setty, Avishek Anand

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Fast Forward Indexes for Efficient Document Ranking

Oct 12, 2021
Jurek Leonhardt, Koustav Rudra, Megha Khosla, Abhijit Anand, Avishek Anand

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Towards Axiomatic Explanations for Neural Ranking Models

Jul 11, 2021
Michael Völske, Alexander Bondarenko, Maik Fröbe, Matthias Hagen, Benno Stein, Jaspreet Singh, Avishek Anand

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Learnt Sparsification for Interpretable Graph Neural Networks

Jun 23, 2021
Mandeep Rathee, Zijian Zhang, Thorben Funke, Megha Khosla, Avishek Anand

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Learnt Sparsity for Effective and Interpretable Document Ranking

Jun 23, 2021
Jurek Leonhardt, Koustav Rudra, Avishek Anand

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Exploiting Sentence-Level Representations for Passage Ranking

Jun 14, 2021
Jurek Leonhardt, Fabian Beringer, Avishek Anand

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