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03/21/2023
Improving Content Retrievability in Search with Controllable Query Generation
An important goal of online platforms is to enable content discovery, i....
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01/13/2023
Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?
A number of learned sparse and dense retrieval approaches have recently ...
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04/22/2022
Sparse and Dense Approaches for the Full-rank Retrieval of Responses for Dialogues
Ranking responses for a given dialogue context is a popular benchmark in...
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11/25/2021
Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators
Heavily pre-trained transformers for language modelling, such as BERT, h...
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01/12/2021
On the Calibration and Uncertainty of Neural Learning to Rank Models
According to the Probability Ranking Principle (PRP), ranking documents ...
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12/15/2020
Weakly Supervised Label Smoothing
We study Label Smoothing (LS), a widely used regularization technique, i...
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10/07/2020
Slice-Aware Neural Ranking
Understanding when and why neural ranking models fail for an IR task via...
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07/30/2020
What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation
Heavily pre-trained transformer models such as BERT have recently shown ...
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12/18/2019
Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking
Neural ranking models are traditionally trained on a series of random ba...
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12/10/2019
