LENS: In-Context Search via Latent Evidence Exploration over Dynamic Raw Documents
This work formulate in-context search as Budgeted Evidence Localization over a latent evidence space induced by dynamic raw documents and propose LENS (Latent Evidence Exploration and Search), an index-free framework that is query-ready after corpus changes, needs no preprocessing or persistent index, and preserves source-grounded evidence localization throughout.