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05/23/2023
When the Music Stops: Tip-of-the-Tongue Retrieval for Music
We present a study of Tip-of-the-tongue (ToT) retrieval for music, where...
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04/21/2023
Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments
The creation of relevance assessments by human assessors (often nowadays...
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04/13/2023
Perspectives on Large Language Models for Relevance Judgment
When asked, current large language models (LLMs) like ChatGPT claim that...
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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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07/26/2022
Users and Contemporary SERPs: A (Re-)Investigation Examining User Interactions and Experiences
The Search Engine Results Page (SERP) has evolved significantly over the...
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05/17/2022
Moving Stuff Around: A study on efficiency of moving documents into memory for Neural IR models
When training neural rankers using Large Language Models, it's expected ...
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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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01/26/2022
Searching, Learning, and Subtopic Ordering: A Simulation-based Analysis
Complex search tasks - such as those from the Search as Learning (SAL) d...
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01/12/2022
Diagnosing BERT with Retrieval Heuristics
Word embeddings, made widely popular in 2013 with the release of word2ve...
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11/29/2021
Searching to Learn with Instructional Scaffolding
Search engines are considered the primary tool to assist and empower lea...
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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
Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset
Conversational search is an approach to information retrieval (IR), wher...
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04/01/2011
