DeMTS: denoising trajectories as multivariate time series for hallucination detection in diffusion language models
Read the original at arxiv.org→arXiv:2608.14632v1 Announce Type: new Abstract: Diffusion large language models (D-LLMs) have emerged as a promising paradigm for text generation. However, similar to autoregressive LLMs, D-LLMs remain vulnerable to...
Original headline: "DeMTS: Denoising Trajectories as Multivariate Time Series for Hallucination Detection in Diffusion Language Models"
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- Aug 18, 04:00 UTC arXiv cs.CL lead source DeMTS: Denoising Trajectories as Multivariate Time Series for Hallucination Detection in Diffusion Language Models