Co-occurring keywords · papers mentioning both
Papers
DroidSpeak: KV Cache Sharing Across Fine-tuned Model Variants
NSDI 2026
EQUIP: EQUivariant preserving In-Place updates for Efficient Token Pruning
ACL 2026
HERMES: KV Cache as Hierarchical Memory for Efficient Streaming Video Understanding
ACL 2026
HitKV: Activation Frequency Knows Which Tokens Are Important
AAAI 2026
Infinity-RoPE: Action-Controllable Infinite Video Generation Emerges From Autoregressive Self-Rollout
CVPR 2026
KVmix: Gradient-Based Layer Importance-Aware Mixed-Precision Quantization for KV Cache
AAAI 2026
KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference
EACL 2026
Lethe: Layer- and Time-Adaptive KV Cache Pruning for Reasoning-Intensive LLM Serving
AAAI 2026
MHA2MLA-VLM: Enabling DeepSeek’s Economical Multi-Head Latent Attention Across Vision-Language Models
AAAI 2026
OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs
AAAI 2026
PagedEviction: Structured Block-wise KV Cache Pruning for Efficient Large Language Model Inference
EACL 2026
River-LLM: Large Language Model Seamless Exit Based on KV Share
ACL 2026
Self-Indexing KVCache: Predicting Sparse Attention from Compressed Keys
AAAI 2026
SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning
AAAI 2026
SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning
AAAI 2026
SpecCache: Speculative KV Cache Reuse for Efficient RAG Serving
ACL 2026
StreamKV: Streaming Video Question-Answering with Segment-based KV Cache Retrieval and Compression
AAAI 2026
SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache
AAAI 2026
SYMPHONY: Enabling Compute-Memory Disaggregation in LLM Serving Systems
NSDI 2026
Thesis Proposal: Efficient KV Cache Reuse for Multi-Document Retrieval-Augmented Generation
EACL 2026
Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models
EACL 2026
D_2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models
ICLR 2025
A2ATS: Retrieval-Based KV Cache Reduction via Windowed Rotary Position Embedding and Query-Aware Vector Quantization
ACL 2025
Align Attention Heads Before Merging Them: An Effective Way for Converting MHA to GQA
EMNLP 2025
A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts
ICLR 2025