Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Supervised Contrastive Learning Approach for Contextual Ranking


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


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

BAGEL: A Benchmark for Assessing Graph Neural Network Explanations


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


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

BERT Rankers are Brittle: a Study using Adversarial Document Perturbations


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

* To appear in ICTIR 2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

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


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

* 5 pages, 2 figures, submitted and accepted as a demo paper in SIGIR2022 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Fast Forward Indexes for Efficient Document Ranking


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


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Towards Axiomatic Explanations for Neural Ranking Models


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

* 10 pages, 2 figures. Published in the proceedings of ICTIR 2021 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learnt Sparsification for Interpretable Graph Neural Networks


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

* 17 pages, 5 figures, 2 tables 

   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Learnt Sparsity for Effective and Interpretable Document Ranking


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


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Exploiting Sentence-Level Representations for Passage Ranking


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


   Access Paper or Ask Questions

  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
>>