linweitao/dllm-hallucination
dllm-hallucination Precomputed trajectories and baselines for the NeurIPS 2026 paper Trajectory Unified Entropy (TUE): A Training-Free Hallucination Detector for Masked Diffusion Language Models. Contents Trajectories (trajectories/) Per-sample denoising trajectory uncertainty maps for 3 models × 6 datasets × 2 sampling depths (T=64, T=128). Schema per traj_{model}_{task}_T{T}_L64{_judged}.npz: entropies — float16, shape (N=400, T, L=64);… See the full description on the dataset page: https://huggingface.co/datasets/linweitao/dllm-hallucination.
| Author / organization | linweitao |
|---|---|
| License (as declared) | mit |
| Downloads | 305 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 20 April 2026 |
| Last updated at source | 22 April 2026 |
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- 17 Oct 2026 Description: dllm-hallucination Precomputed trajectories and baselines for the NeurIPS 2026 paper Trajectory Unified Entropy (TUE): A Training-Free Hallucination Detector for Masked Diffusion Language Models. Contents Trajectories (trajectories/) Per-sa → dllm-hallucination Precomputed trajectories and baselines for the NeurIPS 2026 paper Trajectory Unified Entropy (TUE): A Training-Free Hallucination Detector for Masked Diffusion Language Models. Contents Trajectories (trajectories/) Per-sa
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 19 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.