3 papers
cs.AI2026
A Rational Account of Categorization Based on Information Theory
Christopher J. MacLellan, Karthik Singaravadivelan, Xin Lian +2
We present a new theory of categorization based on an information-theoretic rational analysis. To evaluate this theory, we investigate how well it can account for key findings from…
cs.CL2026
CobwebTM: Probabilistic Concept Formation for Lifelong and Hierarchical Topic Modeling
Karthik Singaravadivelan, Anant Gupta, Zekun Wang +1
Topic modeling seeks to uncover latent semantic structure in text corpora with minimal supervision. Neural approaches achieve strong performance but require extensive tuning and st…
cs.CL2026
Hierarchical Semantic Retrieval with Cobweb
Anant Gupta, Karthik Singaravadivelan, Zekun Wang
Neural document retrieval often treats a corpus as a flat cloud of vectors scored at a single granularity, leaving corpus structure underused and explanations opaque. We use Cobweb…