57 citations · 90 across the 6 of their papers we have counts for
4 papers · 1 filter
PLAID-PRF: Pseudo-Relevance Feedback with Centroid-like Tokens in PLAID
Xiao Wang, Sean MacAvaney, Craig Macdonald
Multi-vector dense retrieval models, such as ColBERT, achieve strong retrieval effectiveness by modelling fine-grained token-level interactions between queries and documents. Metho…
Generative Query Reformulation for Effective Adhoc Search
Xiao Wang, Sean MacAvaney, Craig Macdonald +1
Performing automatic reformulations of a user's query is a popular paradigm used in information retrieval (IR) for improving effectiveness -- as exemplified by the pseudo-relevance…
Pseudo-Relevance Feedback for Multiple Representation Dense Retrieval
Xiao Wang, Craig Macdonald, Nicola Tonellotto +1
Pseudo-relevance feedback mechanisms, from Rocchio to the relevance models, have shown the usefulness of expanding and reweighting the users' initial queries using information occu…
Deep Reinforced Query Reformulation for Information Retrieval
Xiao Wang, Craig Macdonald, Iadh Ounis
Query reformulations have long been a key mechanism to alleviate the vocabulary-mismatch problem in information retrieval, for example by expanding the queries with related query t…