TrustLDM: Benchmarking Trustworthiness in Language Diffusion Models 事件

TrustLDM: Benchmarking Trustworthiness in Language Diffusion Models arXiv:2606.00023v1 Announce Type: new Abstract: The rapid development of Language Diffusion Models (LDMs) challenges the dominant position of auto-regressive competitors in language processing. However, their flexible, any-order decoding strategies not only enable fast decoding speed but also potentially bring new trustworthiness challenges. To better understand the risks behind their pipelines, we introduce a comprehensive tru