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cs.IR2026
Hypergraph Embedding Indexing for Efficient Dense Vector Retrieval
Kishore Konda
Dense vector retrieval has become the foundation of modern semantic search, yet existing approximate nearest neighbor (ANN) indexes treat an embedding as an indivisible point in a…
cs.IR2026
Domain-Specific Text Embedding Models for Entity Resolution
Khajesh Sapram, Srivardhani Raju, Kishore Konda
General-purpose text embedding models are designed to capture semantic similarity but are not optimised for distinguishing entity records that represent the same real-world busines…