Accelerating Diffusion LLM Inference via Local Determinism Propagation
Fuente:
arXiv
Saved in:
| Main Authors: | Kong, Fanheng, Zhang, Jingyuan, Liu, Yahui, Wu, Zirui, Tian, Yu, W., Victoria, Zhou, Guorui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models
by: Zheng, Lifan, et al.
Published: (2026)
by: Zheng, Lifan, et al.
Published: (2026)
Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval
by: Kong, Fanheng, et al.
Published: (2025)
by: Kong, Fanheng, et al.
Published: (2025)
Data Metabolism: An Efficient Data Design Schema For Vision Language Model
by: Zhang, Jingyuan, et al.
Published: (2025)
by: Zhang, Jingyuan, et al.
Published: (2025)
HAMburger: Accelerating LLM Inference via Token Smashing
by: Liu, Jingyu, et al.
Published: (2025)
by: Liu, Jingyu, et al.
Published: (2025)
RLEP: Reinforcement Learning with Experience Replay for LLM Reasoning
by: Zhang, Hongzhi, et al.
Published: (2025)
by: Zhang, Hongzhi, et al.
Published: (2025)
Focus-dLLM: Accelerating Long-Context Diffusion LLM Inference via Confidence-Guided Context Focusing
by: Long, Lingkun, et al.
Published: (2026)
by: Long, Lingkun, et al.
Published: (2026)
DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas
by: Wu, Zirui, et al.
Published: (2026)
by: Wu, Zirui, et al.
Published: (2026)
DART: Diffusion-Inspired Speculative Decoding for Fast LLM Inference
by: Liu, Fuliang, et al.
Published: (2026)
by: Liu, Fuliang, et al.
Published: (2026)
Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search
by: Yu, Linhao, et al.
Published: (2025)
by: Yu, Linhao, et al.
Published: (2025)
Evil Geniuses: Delving into the Safety of LLM-based Agents
by: Tian, Yu, et al.
Published: (2023)
by: Tian, Yu, et al.
Published: (2023)
SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning
by: Long, Lingkun, et al.
Published: (2025)
by: Long, Lingkun, et al.
Published: (2025)
VocalNet-MDM: Accelerating Streaming Speech LLM via Self-Distilled Masked Diffusion Modeling
by: Cheng, Ziyang, et al.
Published: (2026)
by: Cheng, Ziyang, et al.
Published: (2026)
FlashDLM: Accelerating Diffusion Language Model Inference via Efficient KV Caching and Guided Diffusion
by: Hu, Zhanqiu, et al.
Published: (2025)
by: Hu, Zhanqiu, et al.
Published: (2025)
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval
by: Liu, Di, et al.
Published: (2024)
by: Liu, Di, et al.
Published: (2024)
Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference
by: Yuan, Jiayi, et al.
Published: (2025)
by: Yuan, Jiayi, et al.
Published: (2025)
Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference
by: Li, Zeping, et al.
Published: (2024)
by: Li, Zeping, et al.
Published: (2024)
Root Defence Strategies: Ensuring Safety of LLM at the Decoding Level
by: Zeng, Xinyi, et al.
Published: (2024)
by: Zeng, Xinyi, et al.
Published: (2024)
Squeezed Attention: Accelerating Long Context Length LLM Inference
by: Hooper, Coleman, et al.
Published: (2024)
by: Hooper, Coleman, et al.
Published: (2024)
DASH-KV: Accelerating Long-Context LLM Inference via Asymmetric KV Cache Hashing
by: Guo, Jinyu, et al.
Published: (2026)
by: Guo, Jinyu, et al.
Published: (2026)
Fast-dLLM: Training-free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
by: Wu, Chengyue, et al.
Published: (2025)
by: Wu, Chengyue, et al.
Published: (2025)
WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web Testing
by: Kong, Fanheng, et al.
Published: (2026)
by: Kong, Fanheng, et al.
Published: (2026)
SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration
by: Xia, Heming, et al.
Published: (2024)
by: Xia, Heming, et al.
Published: (2024)
SDSAT: Accelerating LLM Inference through Speculative Decoding with Semantic Adaptive Tokens
by: Liu, Chengbo, et al.
Published: (2024)
by: Liu, Chengbo, et al.
Published: (2024)
LLM Inference Acceleration via Efficient Operation Fusion
by: Salmani, Mahsa, et al.
Published: (2025)
by: Salmani, Mahsa, et al.
Published: (2025)
Hierarchical Verification of Speculative Beams for Accelerating LLM Inference
by: Sen, Jaydip, et al.
Published: (2025)
by: Sen, Jaydip, et al.
Published: (2025)
Unraveling Misinformation Propagation in LLM Reasoning
by: Feng, Yiyang, et al.
Published: (2025)
by: Feng, Yiyang, et al.
Published: (2025)
CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG
by: Tian, Yang, et al.
Published: (2025)
by: Tian, Yang, et al.
Published: (2025)
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos
by: Kong, Fanheng, et al.
Published: (2025)
by: Kong, Fanheng, et al.
Published: (2025)
Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction
by: Song, Yuerong, et al.
Published: (2025)
by: Song, Yuerong, et al.
Published: (2025)
Haste Makes Waste: Evaluating Planning Abilities of LLMs for Efficient and Feasible Multitasking with Time Constraints Between Actions
by: Wu, Zirui, et al.
Published: (2025)
by: Wu, Zirui, et al.
Published: (2025)
Dream 7B: Diffusion Large Language Models
by: Ye, Jiacheng, et al.
Published: (2025)
by: Ye, Jiacheng, et al.
Published: (2025)
Efficient Training of Diffusion Mixture-of-Experts Models: A Practical Recipe
by: Liu, Yahui, et al.
Published: (2025)
by: Liu, Yahui, et al.
Published: (2025)
RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression
by: Behnam, Payman, et al.
Published: (2025)
by: Behnam, Payman, et al.
Published: (2025)
LycheeDecode: Accelerating Long-Context LLM Inference via Hybrid-Head Sparse Decoding
by: Lin, Gang, et al.
Published: (2026)
by: Lin, Gang, et al.
Published: (2026)
A Probabilistic Framework for LLM Hallucination Detection via Belief Tree Propagation
by: Hou, Bairu, et al.
Published: (2024)
by: Hou, Bairu, et al.
Published: (2024)
Self-Distilled Trajectory-Aware Boltzmann Modeling: Bridging the Training-Inference Discrepancy in Diffusion Language Models
by: Chen, Kecheng, et al.
Published: (2026)
by: Chen, Kecheng, et al.
Published: (2026)
Accelerating Inference in Large Language Models with a Unified Layer Skipping Strategy
by: Liu, Yijin, et al.
Published: (2024)
by: Liu, Yijin, et al.
Published: (2024)
AttnCache: Accelerating Self-Attention Inference for LLM Prefill via Attention Cache
by: Song, Dinghong, et al.
Published: (2025)
by: Song, Dinghong, et al.
Published: (2025)
PipeInfer: Accelerating LLM Inference using Asynchronous Pipelined Speculation
by: Butler, Branden, et al.
Published: (2024)
by: Butler, Branden, et al.
Published: (2024)
Double: Breaking the Acceleration Limit via Double Retrieval Speculative Parallelism
by: Shen, Yuhao, et al.
Published: (2026)
by: Shen, Yuhao, et al.
Published: (2026)
Similar Items
-
DPN-LE: Dual Personality Neuron Localization and Editing for Large Language Models
by: Zheng, Lifan, et al.
Published: (2026) -
Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval
by: Kong, Fanheng, et al.
Published: (2025) -
Data Metabolism: An Efficient Data Design Schema For Vision Language Model
by: Zhang, Jingyuan, et al.
Published: (2025) -
HAMburger: Accelerating LLM Inference via Token Smashing
by: Liu, Jingyu, et al.
Published: (2025) -
RLEP: Reinforcement Learning with Experience Replay for LLM Reasoning
by: Zhang, Hongzhi, et al.
Published: (2025)