5 citations · 6 across the 8 of their papers we have counts for
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RidgeRank: Efficient Visual Document Reranking via Score Fusion and a Shallow Linear Readout
Shubing Yang, Dongfang Zhao
Multimodal language models rerank visual document retrieval results accurately, but scoring every candidate page at full cost makes them slow. Some methods that compress these rera…
AdaWidth: Query-Adaptive Embedding Width for Dense Retrieval
Shubing Yang, Dongfang Zhao
High-dimensional embeddings are central to dense retrieval, but not all of these dimensions need to be evaluated at retrieval time. Existing methods reduce dimensions in two ways:…
SHEAF: Self-profiled Hardness Estimation from Answer-set Flux for Predicting Query Hardness in Graph-based ANN Search
Dongfang Zhao
Graph-based approximate nearest neighbor (ANN) search is usually governed by a beam-width parameter that trades recall for throughput and is fixed for the whole workload. Yet, quer…
Slipstream: Locality-Aware Graph Index Construction for Streaming Approximate Nearest Neighbor Search
Shubing Yang, Dongfang Zhao
Graph indexes are widely used for high-recall approximate nearest neighbor search (ANNS), but many real-time applications require streaming ANNS. In these real-time applications, c…
NexusIndex: Integrating Advanced Vector Indexing and Multi-Model Embeddings for Robust Fake News Detection
Solmaz Seyed Monir, Dongfang Zhao
The proliferation of fake news on digital platforms has underscored the need for robust and scalable detection mechanisms. Traditional methods often fall short in handling large an…
VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search
Solmaz Seyed Monir, Irene Lau, Shubing Yang +1
Traditional retrieval methods have been essential for assessing document similarity but struggle with capturing semantic nuances. Despite advancements in latent semantic analysis (…