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Found 4 papers, 2 papers with code
Explainable Information Retrieval: A Survey
Explainable information retrieval is an emerging research area aiming to make transparent and trustworthy information retrieval systems.
BERT Rankers are Brittle: a Study using Adversarial Document Perturbations
The aim of our algorithms is to add/replace a small number of tokens to a highly relevant or non-relevant document to cause a large rank demotion or promotion.
Towards Benchmarking the Utility of Explanations for Model Debugging
Post-hoc explanation methods are an important class of approaches that help understand the rationale underlying a trained model's decision.
Neural OCR Post-Hoc Correction of Historical Corpora
Optical character recognition (OCR) is crucial for a deeper access to historical collections.
Optical Character Recognition
Optical Character Recognition (OCR)
