MonoTM provides interpretable monosemantic features for topic modeling beyond top words.
Read the original at arxiv.org→arXiv:2609.09575v1 Announce Type: new Abstract: Topic models summarize large text corpora, but top-ranked words often provide only a limited representation of topic semantics. Sparse autoencoders (SAEs) offer a way...
Original headline: "Beyond Top Words: MonoTM for Topic Modeling with Interpretable Monosemantic Features"
Coverage timeline
- Sep 10, 04:00 UTC arXiv cs.CL lead source Beyond Top Words: MonoTM for Topic Modeling with Interpretable Monosemantic Features