57 citations · 90 across the 6 of their papers we have counts for
6 papers
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…
Temporal Sentence Grounding in Streaming Videos
Tian Gan, Xiao Wang, Yan Sun +3
This paper aims to tackle a novel task - Temporal Sentence Grounding in Streaming Videos (TSGSV). The goal of TSGSV is to evaluate the relevance between a video stream and a given…
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…
Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation
Xiao Wang, Tian Gan, Yinwei Wei +3
The last decade has witnessed the proliferation of micro-videos on various user-generated content platforms. According to our statistics, around 85.7\% of micro-videos lack annotat…
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…