arXiv cs.CL
· Papers
Diffuse to Compress: Leveraging Diffusion LMs for Lossless Compression
arXiv:2608.11249v1 Announce Type: new Abstract: We study the problem of lossless text compression, motivated by the rapid growth in the collection and storage of digital textual data - including plain text, source code, and structured formats such as XML - and by recent advances in neural language model-based compressi