3 papers
cs.IR2026
Aligning Sentence Embeddings to Human Concepts via Sparse Autoencoders
Wonseok Shin, Songkuk Kim
Dense sentence embeddings are fundamental to modern Retrieval-Augmented Generation (RAG) systems but suffer from a lack of interpretability due to feature superposition. This opaci…
cs.CV2026
Sparsity as a Key: Unlocking New Insights from Latent Structures for Out-of-Distribution Detection
Ahyoung Oh, Wonseok Shin, Songkuk Kim
Sparse Autoencoders (SAEs) have demonstrated significant success in interpreting Large Language Models (LLMs) by decomposing dense representations into sparse, semantic components.…
cs.DB2025
Efficient Hypergraph Pattern Matching via Match-and-Filter and Intersection Constraint
Siwoo Song, Wonseok Shin, Kunsoo Park +3
A hypergraph is a generalization of a graph, in which a hyperedge can connect multiple vertices, modeling complex relationships involving multiple vertices simultaneously. Hypergra…