Saved in:
| Main Authors: | Li, Jia-Nan, Guan, Jian, Wu, Wei, Li, Chongxuan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.13586 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
by: Wu, Shangyu, et al.
Published: (2024)
by: Wu, Shangyu, et al.
Published: (2024)
Locally Coherent Parallel Decoding in Diffusion Language Models
by: Hersche, Michael, et al.
Published: (2026)
by: Hersche, Michael, et al.
Published: (2026)
Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models
by: Li, Miao, et al.
Published: (2026)
by: Li, Miao, et al.
Published: (2026)
Theoretical Benefit and Limitation of Diffusion Language Model
by: Feng, Guhao, et al.
Published: (2025)
by: Feng, Guhao, et al.
Published: (2025)
PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models
by: Zhao, Xueliang, et al.
Published: (2025)
by: Zhao, Xueliang, et al.
Published: (2025)
Masked Diffusion Models as Energy Minimization
by: Chen, Sitong, et al.
Published: (2025)
by: Chen, Sitong, et al.
Published: (2025)
Generation Meets Verification: Accelerating Large Language Model Inference with Smart Parallel Auto-Correct Decoding
by: Yi, Hanling, et al.
Published: (2024)
by: Yi, Hanling, et al.
Published: (2024)
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation
by: Jia, Dongya, et al.
Published: (2025)
by: Jia, Dongya, et al.
Published: (2025)
Scaling up Masked Diffusion Models on Text
by: Nie, Shen, et al.
Published: (2024)
by: Nie, Shen, et al.
Published: (2024)
Continuous Autoregressive Language Models
by: Shao, Chenze, et al.
Published: (2025)
by: Shao, Chenze, et al.
Published: (2025)
When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
by: You, Haoran, et al.
Published: (2024)
by: You, Haoran, et al.
Published: (2024)
On the Compressibility of Quantized Large Language Models
by: Mao, Yu, et al.
Published: (2024)
by: Mao, Yu, et al.
Published: (2024)
Training Large Language Models To Reason In Parallel With Global Forking Tokens
by: Jia, Sheng, et al.
Published: (2025)
by: Jia, Sheng, et al.
Published: (2025)
Variational Reasoning for Language Models
by: Zhou, Xiangxin, et al.
Published: (2025)
by: Zhou, Xiangxin, et al.
Published: (2025)
Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed
by: Fu, Yonggan, et al.
Published: (2025)
by: Fu, Yonggan, et al.
Published: (2025)
Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
by: Ou, Jingyang, et al.
Published: (2025)
by: Ou, Jingyang, et al.
Published: (2025)
Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?
by: Li, Pengxiang, et al.
Published: (2026)
by: Li, Pengxiang, et al.
Published: (2026)
Accelerating Diffusion LLMs via Adaptive Parallel Decoding
by: Israel, Daniel, et al.
Published: (2025)
by: Israel, Daniel, et al.
Published: (2025)
Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow
by: Zhong, Yangyang, et al.
Published: (2026)
by: Zhong, Yangyang, et al.
Published: (2026)
Knowledge Fusion of Large Language Models Via Modular SkillPacks
by: Du, Guodong, et al.
Published: (2025)
by: Du, Guodong, et al.
Published: (2025)
RePo: Language Models with Context Re-Positioning
by: Li, Huayang, et al.
Published: (2025)
by: Li, Huayang, et al.
Published: (2025)
On Speculative Decoding for Multimodal Large Language Models
by: Gagrani, Mukul, et al.
Published: (2024)
by: Gagrani, Mukul, et al.
Published: (2024)
Planner and Executor: Collaboration between Discrete Diffusion And Autoregressive Models in Reasoning
by: Berrayana, Lina, et al.
Published: (2025)
by: Berrayana, Lina, et al.
Published: (2025)
Beyond Next-Token Prediction: A Performance Characterization of Diffusion versus Autoregressive Language Models
by: Kim, Minseo, et al.
Published: (2025)
by: Kim, Minseo, et al.
Published: (2025)
Mechanism Shift During Post-training from Autoregressive to Masked Diffusion Language Models
by: Kong, Injin, et al.
Published: (2026)
by: Kong, Injin, et al.
Published: (2026)
Confidence-Modulated Speculative Decoding for Large Language Models
by: Sen, Jaydip, et al.
Published: (2025)
by: Sen, Jaydip, et al.
Published: (2025)
ALPINE: Unveiling the Planning Capability of Autoregressive Learning in Language Models
by: Wang, Siwei, et al.
Published: (2024)
by: Wang, Siwei, et al.
Published: (2024)
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
by: Bie, Tiwei, et al.
Published: (2025)
by: Bie, Tiwei, et al.
Published: (2025)
Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
by: Ye, Jiacheng, et al.
Published: (2024)
by: Ye, Jiacheng, et al.
Published: (2024)
Fast Large Language Model Collaborative Decoding via Speculation
by: Fu, Jiale, et al.
Published: (2025)
by: Fu, Jiale, et al.
Published: (2025)
The Structure of Relation Decoding Linear Operators in Large Language Models
by: Christ, Miranda Anna, et al.
Published: (2025)
by: Christ, Miranda Anna, et al.
Published: (2025)
Probabilistic Token Alignment for Large Language Model Fusion
by: Zeng, Runjia, et al.
Published: (2025)
by: Zeng, Runjia, et al.
Published: (2025)
Exploring and Improving Drafts in Blockwise Parallel Decoding
by: Kim, Taehyeon, et al.
Published: (2024)
by: Kim, Taehyeon, et al.
Published: (2024)
Crafting Efficient Fine-Tuning Strategies for Large Language Models
by: Oliver, Michael, et al.
Published: (2024)
by: Oliver, Michael, et al.
Published: (2024)
Context Dependence and Reliability in Autoregressive Language Models
by: Sengupta, Poushali, et al.
Published: (2026)
by: Sengupta, Poushali, et al.
Published: (2026)
Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements
by: Zhao, Guangxiang, et al.
Published: (2025)
by: Zhao, Guangxiang, et al.
Published: (2025)
Echo: A Large Language Model with Temporal Episodic Memory
by: Liu, WenTao, et al.
Published: (2025)
by: Liu, WenTao, et al.
Published: (2025)
Controlled Decoding from Language Models
by: Mudgal, Sidharth, et al.
Published: (2023)
by: Mudgal, Sidharth, et al.
Published: (2023)
Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding
by: Bergner, Benjamin, et al.
Published: (2024)
by: Bergner, Benjamin, et al.
Published: (2024)
A Survey on Diffusion Language Models
by: Li, Tianyi, et al.
Published: (2025)
by: Li, Tianyi, et al.
Published: (2025)
Similar Items
-
ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
by: Wu, Shangyu, et al.
Published: (2024) -
Locally Coherent Parallel Decoding in Diffusion Language Models
by: Hersche, Michael, et al.
Published: (2026) -
Plan, Verify and Fill: A Structured Parallel Decoding Approach for Diffusion Language Models
by: Li, Miao, et al.
Published: (2026) -
Theoretical Benefit and Limitation of Diffusion Language Model
by: Feng, Guhao, et al.
Published: (2025) -
PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models
by: Zhao, Xueliang, et al.
Published: (2025)