Copertina

DARE: Diffusion Language Model Activation Reuse for Efficient Inference

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Frumkin, Natalia, Wang, Bokun, Chiang, Hung-Yueh, Chang, Chi-Chih, Abdelfattah, Mohamed S., Marculescu, Diana
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Quamba2: A Robust and Scalable Post-training Quantization Framework for Selective State Space Models
di: Chiang, Hung-Yueh, et al.
Pubblicazione: (2025)

Quamba: A Post-Training Quantization Recipe for Selective State Space Models
di: Chiang, Hung-Yueh, et al.
Pubblicazione: (2024)

SCAN-Edge: Finding MobileNet-speed Hybrid Networks for Diverse Edge Devices via Hardware-Aware Evolutionary Search
di: Chiang, Hung-Yueh, et al.
Pubblicazione: (2024)

UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs
di: Chiang, Hung-Yueh, et al.
Pubblicazione: (2025)

ELANA: A Simple Energy and Latency Analyzer for LLMs
di: Chiang, Hung-Yueh, et al.
Pubblicazione: (2025)

Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
di: Frumkin, Natalia, et al.
Pubblicazione: (2025)

Geo-OLM: Enabling Sustainable Earth Observation Studies with Cost-Efficient Open Language Models & State-Driven Workflows
di: Stamoulis, Dimitrios, et al.
Pubblicazione: (2025)

QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models
di: Chi, Tien-Yu, et al.
Pubblicazione: (2025)

Similarity Trajectories: Linking Sampling Process to Artifacts in Diffusion-Generated Images
di: Menn, Dennis, et al.
Pubblicazione: (2024)

Accelerating Large-Scale Reasoning Model Inference with Sparse Self-Speculative Decoding
di: Zhao, Yilong, et al.
Pubblicazione: (2025)

ICaRus: Identical Cache Reuse for Efficient Multi Model Inference
di: Woo, Sunghyeon, et al.
Pubblicazione: (2026)

Palu: Compressing KV-Cache with Low-Rank Projection
di: Chang, Chi-Chih, et al.
Pubblicazione: (2024)

DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation
di: Zhou, Yang, et al.
Pubblicazione: (2026)

DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
di: Deng, Wenlong, et al.
Pubblicazione: (2024)

Encoder-Decoder Diffusion Language Models for Efficient Training and Inference
di: Arriola, Marianne, et al.
Pubblicazione: (2025)

TokenButler: Token Importance is Predictable
di: Akhauri, Yash, et al.
Pubblicazione: (2025)

Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism
di: Wang, Kunyun, et al.
Pubblicazione: (2025)

Vision-Language Model Selection and Reuse for Downstream Adaptation
di: Tan, Hao-Zhe, et al.
Pubblicazione: (2025)

Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models
di: Wei, Xiwen, et al.
Pubblicazione: (2025)

ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-Skipping
di: Zhu, Zijian, et al.
Pubblicazione: (2026)

BlockBatch: Multi-Scale Consensus Decoding for Efficient Diffusion Language Model Inference
di: Wu, Xiaoyou, et al.
Pubblicazione: (2026)

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
di: Huang, Chi-Pin, et al.
Pubblicazione: (2025)

Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents: Pathways and Paradigms
di: Chatterjee, Abhijit, et al.
Pubblicazione: (2025)

V"Mean"ba: Visual State Space Models only need 1 hidden dimension
di: Chi, Tien-Yu, et al.
Pubblicazione: (2024)

Membership Inference Attacks on Discrete Diffusion Language Models
di: Kasivelrajan, Shailesh
Pubblicazione: (2026)

Regression Language Models for Code
di: Akhauri, Yash, et al.
Pubblicazione: (2025)

WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference
di: Chen, Sihan, et al.
Pubblicazione: (2025)

Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts
di: Ahmed, Ammar, et al.
Pubblicazione: (2025)

Amber Pruner: Leveraging N:M Activation Sparsity for Efficient Prefill in Large Language Models
di: An, Tai, et al.
Pubblicazione: (2025)

Inference-Time Alignment of Diffusion Models with Direct Noise Optimization
di: Tang, Zhiwei, et al.
Pubblicazione: (2024)

Don't Retrain, Just Reuse: Recovering Dual-Target Molecules from Single-Target Diffusion Models
di: Zeng, Qingyuan, et al.
Pubblicazione: (2026)

AB-Cache: Training-Free Acceleration of Diffusion Models via Adams-Bashforth Cached Feature Reuse
di: Yu, Zichao, et al.
Pubblicazione: (2025)

Membership Inference Attacks Against Fine-tuned Diffusion Language Models
di: Chen, Yuetian, et al.
Pubblicazione: (2026)

Efficient Large Language Model Inference with Neural Block Linearization
di: Erdogan, Mete, et al.
Pubblicazione: (2025)

When to Stop Reusing: Dynamic Gradient Gating for Sample-Efficient RLVR
di: Miao, Yuchun, et al.
Pubblicazione: (2026)

Scalable AI Inference: Performance Analysis and Optimization of AI Model Serving
di: Pham, Hung Cuong, et al.
Pubblicazione: (2026)

Scaling Inference-Efficient Language Models
di: Bian, Song, et al.
Pubblicazione: (2025)

VCMamba: Bridging Convolutions with Multi-Directional Mamba for Efficient Visual Representation
di: Munir, Mustafa, et al.
Pubblicazione: (2025)

Multi-Scale High-Resolution Logarithmic Grapher Module for Efficient Vision GNNs
di: Munir, Mustafa, et al.
Pubblicazione: (2025)

Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy
di: Jiang, Eric Hanchen, et al.
Pubblicazione: (2025)