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cs.LG2024
Information-Theoretic Generative Clustering of Documents
Xin Du, Kumiko Tanaka-Ishii
We present {\em generative clustering} (GC) for clustering a set of documents, , by using texts generated by large language models (LLMs) instead of by clu…
cs.IR2024★ 1 cited
Bottleneck-Minimal Indexing for Generative Document Retrieval
Xin Du, Lixin Xiu, Kumiko Tanaka-Ishii
We apply an information-theoretic perspective to reconsider generative document retrieval (GDR), in which a document is indexed by , and a neural autoregressive…
cs.CL2024★ 2 cited
Correlation Dimension of Natural Language in a Statistical Manifold
Xin Du, Kumiko Tanaka-Ishii
The correlation dimension of natural language is measured by applying the Grassberger-Procaccia algorithm to high-dimensional sequences produced by a large-scale language model. Th…