| Archer: Adaptive Reuse of Cached Hidden States for Efficient Rollback in Diffusion Language Models added by Syntology |
2026-08 (from id) |
Hxnng/Archer/src/archer/state_distance/sampler.py 10e530678395c16a |
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| Commit Locally, Exit Globally: Coordinating Adaptive Sampling and Early Exit in Diffusion Language Models added by Syntology |
2026-07 (from id) |
ming053l/C4-dLLM/c4/decode.py 027b7c000eacca21 |
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MIT (permissive) |
| Sangam: Efficiently Serving Diffusion LLMs with the AR Stack added by Syntology |
2026-07 (from id) |
UT-InfraAI/sangam/src/sangam/sampler.py c551a291fca9e38d |
unverified |
Apache-2.0 (permissive) |
| Learning from the Self-future: On-policy Self-distillation for dLLMs added by Syntology |
2026-06 (from id) |
xingzhejun/d-OPSD/d-opsd/utils.py 746963c6a9e9b2b0 |
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| Learning from the Self-future: On-policy Self-distillation for dLLMs added by Syntology |
2026-06 (from id) |
xingzhejun/d-OPSD/eval/generate.py f3233aab1c6c6543 |
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| Prefilling-dLLM: Predictive Prefilling for Long-Context Inference in Diffusion Language Models added by Syntology |
2026-06 (from id) |
menik1126/Prefilling-dLLM/prefilling_dllm_eval/llada_native_model.py 027b7c000eacca21 |
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MIT (permissive) |
| SAID: Accelerating Diffusion-Based Language Models via Scaffold-Aware Iterative Decoding added by Syntology |
2026-06 (from id) |
TH-AI-Lab-PKU/SAID/SAID-block/generate_said.py 0f2bf418118186bc |
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| FASTKERNELS: Benchmarking GPU Kernel Generation in Production added by Syntology |
2026-05 (from id) |
Snowflake-AI-Research/fastkernels/fastkernels/infra/dllm_engine.py e5d55fd1b07cbbf3 |
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Apache-2.0 (permissive) |
| Roll Out and Roll Back: Diffusion LLMs are Their Own Efficiency Teachers added by Syntology |
2026-05 (from id) |
Feng-Hong/WINO-DLLM/LLaDA/decoding.py a5334721ab55f48f |
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| TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM added by Syntology |
2026-05 (from id) |
BHmingyang/TAD/eval/eval_llada.py 027b7c000eacca21 |
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| Break the Block: Dynamic-size Reasoning Blocks for Diffusion Large Language Models via Monotonic Entropy Descent with Reinforcement Learning added by Syntology |
2026-05 (from id) |
YanJiangJerry/Block-R1/rl/trainers/dynamic_generate.py 746963c6a9e9b2b0 |
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Apache-2.0 (permissive) |
| R 2 -dLLM: Accelerating Diffusion Large Language Models via Spatio-Temporal Redundancy Reduction added by Syntology |
2026-04 (from id) |
GATECH-EIC/R2-dLLM/llada/generate.py a5334721ab55f48f |
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| DMax: Aggressive Parallel Decoding for dLLMs added by Syntology |
2026-04 (from id) |
czg1225/DMax/dInfer/python/dinfer/decoding/parallel_strategy.py 990cdbb7b7b9c54c |
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Apache-2.0 (permissive) |
| MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models added by Syntology |
2026-03 (from id) |
Les1a/MetaState/dllm/core/samplers/utils.py c7fd61b6c723375b |
unverified |
Apache-2.0 (permissive) |
| Diffusion-State Policy Optimization for Masked Diffusion Language Models added by Syntology |
2026-02 (from id) |
dllm-reasoning/d1/eval/generate.py f3233aab1c6c6543 |
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Apache-2.0 (permissive) |
| Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models added by Syntology |
1 Feb 2026 |
niez233/DiffuGuard/utility/generate_function.py 1495eea6ced11dfa |
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| Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models added by Syntology |
1 Feb 2026 |
shuita2333/PAD-codes/LLaDA-PAD/generate-PAD.py 72a32148829c38b2 |
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| Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models added by Syntology |
1 Feb 2026 |
shuita2333/PAD-codes/MMaDA-PAD/models/modeling_mmada.py 615ec9b280bef7c6 |
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| ρ-EOS: Training-free Bidirectional Variable-Length Control for Masked Diffusion LLMs added by Syntology |
2026-01 (from id) |
yjyddq/rho-EOS/models/LLaDA_rho_EOS.py 2eceb68d6f6d3d37 |
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Apache-2.0 (permissive) |
| ρ-EOS: Training-free Bidirectional Variable-Length Control for Masked Diffusion LLMs added by Syntology |
2026-01 (from id) |
yjyddq/rho-EOS/models/LLaDA.py 3d179b42fcc82ef2 |
unverified |
Apache-2.0 (permissive) |
| ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment added by Syntology |
2026-01 (from id) |
sheriyuo/ETS/llada/ets_is.py b95cadfa99b9514d |
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| Revealing the Attention Floating Mechanism in Masked Diffusion Models added by Syntology |
2026-01 (from id) |
NEUIR/Attention-Floating/src/attention_extraction/Llada.py 2340e6453f04571f |
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| CD 4 LM: Consistency Distillation and aDaptive Decoding for Diffusion Language Models added by Syntology |
2026-01 (from id) |
yihao-liang/CDLM/evaluation/dllm_eval/models/LLaDA.py 3d179b42fcc82ef2 |
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Apache-2.0 (permissive) |
| KLASS: KL-Guided Fast Inference in Masked Diffusion Models added by Syntology |
2025-11 (from id) |
identical code first harvested elsewhere a5334721ab55f48f |
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| Beyond Static Cutoffs: One-Shot Dynamic Thresholding for Diffusion Language Models added by Syntology |
2025-11 (from id) |
jackshen-1215/osdt/osdt/llada_generate_osdt.py cea29bbf70d23ead |
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| Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning added by Syntology |
2025-09 (from id) |
ybseo-ac/Conv/generate_yb.py a5334721ab55f48f |
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| Fast and Fluent Diffusion Language Models via Convolutional Decoding and Rejective Fine-tuning added by Syntology |
2025-09 (from id) |
ybseo-ac/Conv/gen1_2_answer_generation_llada.py 529aefed4b15eb2b |
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| The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs |
15 Jul 2025 |
zichenwen1/dija/MMaDA/generate.py a5334721ab55f48f |
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Apache-2.0 (permissive) |
| The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs |
15 Jul 2025 |
zichenwen1/dija/MMaDA/models/modeling_mmada.py 615ec9b280bef7c6 |
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Apache-2.0 (permissive) |
| arXiv:2506.15735 |
2025-06 (from id) |
lasr-eliciting-contexts/ContextBench/src/contextbench/llada/generate.py a5334721ab55f48f |
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| dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching |
17 May 2025 |
maomaocun/dLLM-cache/demo_MMada_cache.py 008ab2cfccca5ac2 |
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Apache-2.0 (permissive) |
| dLLM-Cache: Accelerating Diffusion Large Language Models with Adaptive Caching |
17 May 2025 |
maomaocun/dLLM-cache/demo_MMada_mmu_cache.py 22cb8c51f0a9038f |
unverified |
Apache-2.0 (permissive) |
| MMaDA: Multimodal Large Diffusion Language Models |
21 May 2025 |
Gen-Verse/MMaDA/generate.py a5334721ab55f48f |
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MIT (permissive) |
| MMaDA: Multimodal Large Diffusion Language Models |
21 May 2025 |
Gen-Verse/MMaDA/models/modeling_mmada.py 615ec9b280bef7c6 |
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MIT (permissive) |
| Large Language Diffusion Models |
14 Feb 2025 |
ml-gsai/llada/generate.py a5334721ab55f48f |
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| ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis |
11 Nov 2024 |
leaplabthu/enat/libs/nat_misc.py 9ef9985f5609c318 |
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| Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis |
8 Jun 2024 |
leaplabthu/improvednat/libs/nat_misc.py 9ef9985f5609c318 |
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MIT (permissive) |
| REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models |
18 Oct 2023 |
ruisizhang123/REMARK-LLM/inference.py 2d1739ff0a683922 |
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| Muse: Text-To-Image Generation via Masked Generative Transformers |
2 Jan 2023 |
baaivision/muse-pytorch/libs/muse.py 9ef9985f5609c318 |
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MIT (permissive) |
| arXiv:Hertz_Style_Aligned_Image_Generation_via_Shared_Attention_CVPR_2024_paper |
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baaivision/MUSE-Pytorch/libs/muse.py 9ef9985f5609c318 |
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MIT (permissive) |