Image de couverture de livre

QuickMerge++: Fast Token Merging with Autoregressive Prior

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Dong, Yu, Yanxuan
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Modeling
par: Liu, Dong, et autres
Publié: (2025)

MergeDNA: Context-aware Genome Modeling with Dynamic Tokenization through Token Merging
par: Li, Siyuan, et autres
Publié: (2025)

Batching BPE Tokenization Merges
par: Morgan, Alexander P.
Publié: (2024)

Cognitive Load Traces as Symbolic and Visual Accounts of Deep Model Cognition
par: Liu, Dong, et autres
Publié: (2025)

HSGM: Hierarchical Segment-Graph Memory for Scalable Long-Text Semantics
par: Liu, Dong, et autres
Publié: (2025)

CXL-SpecKV: A Disaggregated FPGA Speculative KV-Cache for Datacenter LLM Serving
par: Liu, Dong, et autres
Publié: (2025)

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization
par: Li, Siyuan, et autres
Publié: (2025)

Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
par: Tang, Yao, et autres
Publié: (2026)

Towards Hyper-Efficient RAG Systems in VecDBs: Distributed Parallel Multi-Resolution Vector Search
par: Liu, Dong, et autres
Publié: (2025)

$π$-Attention: Periodic Sparse Transformers for Efficient Long-Context Modeling
par: Liu, Dong, et autres
Publié: (2025)

MIN-Merging: Merge the Important Neurons for Model Merging
par: Liang, Yunfei
Publié: (2025)

Channel Merging: Preserving Specialization for Merged Experts
par: Zhang, Mingyang, et autres
Publié: (2024)

Local Representative Token Guided Merging for Text-to-Image Generation
par: Lee, Min-Jeong, et autres
Publié: (2025)

Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers
par: Lee, Dong Hoon, et autres
Publié: (2024)

RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior
par: Yang, Junyao, et autres
Publié: (2025)

TinyServe: Query-Aware Cache Selection for Efficient LLM Serving
par: Liu, Dong, et autres
Publié: (2025)

ToMA: Token Merge with Attention for Diffusion Models
par: Lu, Wenbo, et autres
Publié: (2025)

Reinforced Model Merging
par: Han, Jiaqi, et autres
Publié: (2025)

Extrapolation Merging: Keep Improving With Extrapolation and Merging
par: Lin, Yiguan, et autres
Publié: (2025)

TMCIR: Token Merge Benefits Composed Image Retrieval
par: Wang, Chaoyang, et autres
Publié: (2025)

MergeIT: From Selection to Merging for Efficient Instruction Tuning
par: Cai, Hongyi, et autres
Publié: (2025)

SuperMerge: An Approach For Gradient-Based Model Merging
par: Yang, Haoyu, et autres
Publié: (2024)

Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
par: Lu, Zhenyi, et autres
Publié: (2024)

CSV-Decode: Certifiable Sub-Vocabulary Decoding for Efficient Large Language Model Inference
par: Liu, Dong, et autres
Publié: (2025)

OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging
par: Wei, Yongxian, et autres
Publié: (2025)

Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models
par: Liu, Shuqi, et autres
Publié: (2025)

Think Big, Generate Quick: LLM-to-SLM for Fast Autoregressive Decoding
par: Bergner, Benjamin, et autres
Publié: (2024)

FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
par: Chen, Hao Mark, et autres
Publié: (2025)

PSO-Merging: Merging Models Based on Particle Swarm Optimization
par: Zhang, Kehao, et autres
Publié: (2025)

Transport and Merge: Cross-Architecture Merging for Large Language Models
par: Cui, Chenhang, et autres
Publié: (2026)

NegMerge: Sign-Consensual Weight Merging for Machine Unlearning
par: Kim, Hyo Seo, et autres
Publié: (2024)

LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-Disjoint
par: Ma, Qianli, et autres
Publié: (2025)

Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging
par: Liu, Deyuan, et autres
Publié: (2024)

LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
par: Liu, Zehua, et autres
Publié: (2025)

Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data
par: Zhang, Bingjie, et autres
Publié: (2025)

Decom-Renorm-Merge: Model Merging on the Right Space Improves Multitasking
par: Chaichana, Yuatyong, et autres
Publié: (2025)

MergeME: Model Merging Techniques for Homogeneous and Heterogeneous MoEs
par: Zhou, Yuhang, et autres
Publié: (2025)

SE-Merging: A Self-Enhanced Approach for Dynamic Model Merging
par: Chen, Zijun, et autres
Publié: (2025)

SimMerge: Learning to Select Merge Operators from Similarity Signals
par: Bolton, Oliver, et autres
Publié: (2026)

ES-Merging: Biological MLLM Merging via Embedding Space Signals
par: Lee, Wonbin, et autres
Publié: (2026)