Latent Space Communication via K-V Cache Alignment
Fuente:
arXiv
Saved in:
| Main Authors: | Dery, Lucio M., Yahav, Zohar, Prior, Henry, Feng, Qixuan, Shen, Jiajun, Szlam, Arthur |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Deliberation in Latent Space via Differentiable Cache Augmentation
by: Liu, Luyang, et al.
Published: (2024)
by: Liu, Luyang, et al.
Published: (2024)
Context Training with Active Information Seeking
by: Huang, Zeyu, et al.
Published: (2026)
by: Huang, Zeyu, et al.
Published: (2026)
Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs
by: Liu, Andy Zeyi, et al.
Published: (2026)
by: Liu, Andy Zeyi, et al.
Published: (2026)
Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
by: Behmanesh, Maysam, et al.
Published: (2025)
by: Behmanesh, Maysam, et al.
Published: (2025)
DiLoCo: Distributed Low-Communication Training of Language Models
by: Douillard, Arthur, et al.
Published: (2023)
by: Douillard, Arthur, et al.
Published: (2023)
Communication-Efficient Language Model Training Scales Reliably and Robustly: Scaling Laws for DiLoCo
by: Charles, Zachary, et al.
Published: (2025)
by: Charles, Zachary, et al.
Published: (2025)
Latent Neural-ODE for Model-Informed Precision Dosing: Overcoming Structural Assumptions in Pharmacokinetics
by: Maurel, Benjamin, et al.
Published: (2026)
by: Maurel, Benjamin, et al.
Published: (2026)
Structural Rationale Distillation via Reasoning Space Compression
by: Yang, Jialin, et al.
Published: (2026)
by: Yang, Jialin, et al.
Published: (2026)
Enabling Agents to Communicate Entirely in Latent Space
by: Du, Zhuoyun, et al.
Published: (2025)
by: Du, Zhuoyun, et al.
Published: (2025)
AB-Cache: Training-Free Acceleration of Diffusion Models via Adams-Bashforth Cached Feature Reuse
by: Yu, Zichao, et al.
Published: (2025)
by: Yu, Zichao, et al.
Published: (2025)
Graph Counterfactual Explainable AI via Latent Space Traversal
by: Hansen, Andreas Abildtrup, et al.
Published: (2025)
by: Hansen, Andreas Abildtrup, et al.
Published: (2025)
NoisyCoconut: Counterfactual Consensus via Latent Space Reasoning
by: Jerge, Michael, et al.
Published: (2026)
by: Jerge, Michael, et al.
Published: (2026)
Driving Reaction Trajectories via Latent Flow Matching
by: Shen, Yili, et al.
Published: (2026)
by: Shen, Yili, et al.
Published: (2026)
Cross-Session Decoding of Neural Spiking Data via Task-Conditioned Latent Alignment
by: Zhao, Canyang, et al.
Published: (2026)
by: Zhao, Canyang, et al.
Published: (2026)
Searching Latent Program Spaces
by: Macfarlane, Matthew V, et al.
Published: (2024)
by: Macfarlane, Matthew V, et al.
Published: (2024)
RelayCaching: Accelerating LLM Collaboration via Decoding KV Cache Reuse
by: Geng, Yingsheng, et al.
Published: (2026)
by: Geng, Yingsheng, et al.
Published: (2026)
Accelerating LLM Inference Throughput via Asynchronous KV Cache Prefetching
by: Dong, Yanhao, et al.
Published: (2025)
by: Dong, Yanhao, et al.
Published: (2025)
Latent Diffusion : Multi-Dimension Stable Diffusion Latent Space Explorer
by: Zhong, Zhihua, et al.
Published: (2025)
by: Zhong, Zhihua, et al.
Published: (2025)
Aligning Human and Machine Attention for Enhanced Supervised Learning
by: Chriqui, Avihay, et al.
Published: (2025)
by: Chriqui, Avihay, et al.
Published: (2025)
Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge
by: Gu, Chunhui, et al.
Published: (2025)
by: Gu, Chunhui, et al.
Published: (2025)
TopoPrune: Robust Data Pruning via Unified Latent Space Topology
by: Roy, Arjun, et al.
Published: (2026)
by: Roy, Arjun, et al.
Published: (2026)
Unlocking Out-of-Distribution Generalization in Transformers via Recursive Latent Space Reasoning
by: Altabaa, Awni, et al.
Published: (2025)
by: Altabaa, Awni, et al.
Published: (2025)
Generative Topological Networks
by: Levy-Jurgenson, Alona, et al.
Published: (2024)
by: Levy-Jurgenson, Alona, et al.
Published: (2024)
FLAG: Foundation model representation with Latent diffusion Alignment via Graph for spatial gene expression prediction
by: Si, Qi, et al.
Published: (2026)
by: Si, Qi, et al.
Published: (2026)
Towards Scalable Handwriting Communication via EEG Decoding and Latent Embedding Integration
by: Kim, Jun-Young, et al.
Published: (2024)
by: Kim, Jun-Young, et al.
Published: (2024)
LeanK: Learnable K Cache Channel Pruning for Efficient Decoding
by: Zhang, Yike, et al.
Published: (2025)
by: Zhang, Yike, et al.
Published: (2025)
Adaptive Compression of the Latent Space in Variational Autoencoders
by: Sejnova, Gabriela, et al.
Published: (2023)
by: Sejnova, Gabriela, et al.
Published: (2023)
Latent Communication in Artificial Neural Networks
by: Moschella, Luca
Published: (2024)
by: Moschella, Luca
Published: (2024)
How to Compress KV Cache in RL Post-Training? Shadow Mask Distillation for Memory-Efficient Alignment
by: Zhu, Rui, et al.
Published: (2026)
by: Zhu, Rui, et al.
Published: (2026)
HeadQ: Model-Visible Distortion and Score-Space Correction for KV-Cache Quantization
by: Williams, Jorge L. Ruiz
Published: (2026)
by: Williams, Jorge L. Ruiz
Published: (2026)
CacheFormer: High Attention-Based Segment Caching
by: Singh, Sushant, et al.
Published: (2025)
by: Singh, Sushant, et al.
Published: (2025)
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach
by: Rimon, Zohar, et al.
Published: (2022)
by: Rimon, Zohar, et al.
Published: (2022)
LittleBit-2: Maximizing the Spectral Energy Gain in Sub-1-Bit LLMs via Latent Geometry Alignment
by: Lee, Banseok, et al.
Published: (2026)
by: Lee, Banseok, et al.
Published: (2026)
ActivationReasoning: Logical Reasoning in Latent Activation Spaces
by: Helff, Lukas, et al.
Published: (2025)
by: Helff, Lukas, et al.
Published: (2025)
Discriminative protein sequence modelling with Latent Space Diffusion
by: Quinn, Eoin, et al.
Published: (2025)
by: Quinn, Eoin, et al.
Published: (2025)
Sculpting Latent Spaces With MMD: Disentanglement With Programmable Priors
by: Fruytier, Quentin, et al.
Published: (2025)
by: Fruytier, Quentin, et al.
Published: (2025)
Not All Latent Spaces Are Flat: Hyperbolic Concept Control
by: Briglia, Maria Rosaria, et al.
Published: (2026)
by: Briglia, Maria Rosaria, et al.
Published: (2026)
Revealing the Challenges of Sim-to-Real Transfer in Model-Based Reinforcement Learning via Latent Space Modeling
by: Lin, Zhilin, et al.
Published: (2025)
by: Lin, Zhilin, et al.
Published: (2025)
LaM-SLidE: Latent Space Modeling of Spatial Dynamical Systems via Linked Entities
by: Sestak, Florian, et al.
Published: (2025)
by: Sestak, Florian, et al.
Published: (2025)
CacheClip: Accelerating RAG with Effective KV Cache Reuse
by: Yang, Bin, et al.
Published: (2025)
by: Yang, Bin, et al.
Published: (2025)
Similar Items
-
Deliberation in Latent Space via Differentiable Cache Augmentation
by: Liu, Luyang, et al.
Published: (2024) -
Context Training with Active Information Seeking
by: Huang, Zeyu, et al.
Published: (2026) -
Memory Inception: Latent-Space KV Cache Manipulation for Steering LLMs
by: Liu, Andy Zeyi, et al.
Published: (2026) -
Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication
by: Behmanesh, Maysam, et al.
Published: (2025) -
DiLoCo: Distributed Low-Communication Training of Language Models
by: Douillard, Arthur, et al.
Published: (2023)