:: Library Catalog

Ata uhi

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Qi, Yanlin, Chen, Xinhang, Jiang, Huiqiang, Wang, Qitong, Peng, Botao, Palpanas, Themis
Hōputu:	Preprint
I whakaputaina:	2026
Ngā marau:	Machine Learning Computation and Language Databases
Urunga tuihono:	https://arxiv.org/abs/2602.07721
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Ngā tūemi rite

SEAnet: A Deep Learning Architecture for Data Series Similarity Search
mā: Wang, Qitong, me ētahi atu.
I whakaputaina: (2026)

LeaFi: Data Series Indexes on Steroids with Learned Filters
mā: Wang, Qitong, me ētahi atu.
I whakaputaina: (2025)

Fast and Exact Similarity Search in less than a Blink of an Eye
mā: Schäfer, Patrick, me ētahi atu.
I whakaputaina: (2024)

SCBench: A KV Cache-Centric Analysis of Long-Context Methods
mā: Li, Yucheng, me ētahi atu.
I whakaputaina: (2024)

DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search
mā: Wei, Jiuqi, me ētahi atu.
I whakaputaina: (2024)

Automated Data Quality Validation in an End-to-End GNN Framework
mā: Dong, Sijie, me ētahi atu.
I whakaputaina: (2025)

DumpyOS: A Data-Adaptive Multi-ary Index for Scalable Data Series Similarity Search
mā: Wang, Zeyu, me ētahi atu.
I whakaputaina: (2024)

KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
mā: Kim, Jang-Hyun, me ētahi atu.
I whakaputaina: (2025)

ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
mā: Sun, Hanshi, me ētahi atu.
I whakaputaina: (2024)

FastKV: Decoupling of Context Reduction and KV Cache Compression for Prefill-Decoding Acceleration
mā: Jo, Dongwon, me ētahi atu.
I whakaputaina: (2025)

Subspace Collision: An Efficient and Accurate Framework for High-dimensional Approximate Nearest Neighbor Search
mā: Wei, Jiuqi, me ētahi atu.
I whakaputaina: (2024)

LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning
mā: Lin, Xiaotian, me ētahi atu.
I whakaputaina: (2025)

$\boldsymbol{Steiner}$-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes
mā: Wang, Zeyu, me ētahi atu.
I whakaputaina: (2024)

KV-Fold: One-Step KV-Cache Recurrence for Long-Context Inference
mā: Nadali, Alireza, me ētahi atu.
I whakaputaina: (2026)

MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference
mā: Li, Kunxi, me ētahi atu.
I whakaputaina: (2025)

xKV: Cross-Layer KV-Cache Compression via Aligned Singular Vector Extraction
mā: Chang, Chi-Chih, me ētahi atu.
I whakaputaina: (2025)

DaiSy: A Library for Scalable Data Series Similarity Search
mā: Del Gaudio, Francesca, me ētahi atu.
I whakaputaina: (2026)

ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution
mā: Dong, Zican, me ētahi atu.
I whakaputaina: (2026)

CTkvr: KV Cache Retrieval for Long-Context LLMs via Centroid then Token Indexing
mā: Lu, Kuan, me ētahi atu.
I whakaputaina: (2025)

RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression
mā: Behnam, Payman, me ētahi atu.
I whakaputaina: (2025)

FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference
mā: Liu, Guangda, me ētahi atu.
I whakaputaina: (2025)

OjaKV: Context-Aware Online Low-Rank KV Cache Compression
mā: Zhu, Yuxuan, me ētahi atu.
I whakaputaina: (2025)

PDET-LSH: Scalable In-Memory Indexing for High-Dimensional Approximate Nearest Neighbor Search with Quality Guarantees
mā: Wei, Jiuqi, me ētahi atu.
I whakaputaina: (2026)

FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference
mā: Wang, Dongwei, me ētahi atu.
I whakaputaina: (2025)

IceCache: Memory-efficient KV-cache Management for Long-Sequence LLMs
mā: Mao, Yuzhen, me ētahi atu.
I whakaputaina: (2026)

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs
mā: Zhou, Xiabin, me ētahi atu.
I whakaputaina: (2024)

Dimensionality-Reduction Techniques for Approximate Nearest Neighbor Search: A Survey and Evaluation
mā: Wang, Zeyu, me ētahi atu.
I whakaputaina: (2024)

RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations
mā: Su, Zunhai, me ētahi atu.
I whakaputaina: (2025)

TTKV: Temporal-Tiered KV Cache for Long-Context LLM Inference
mā: Dzikanyanga, Gradwell, me ētahi atu.
I whakaputaina: (2026)

KV Cache Offloading for Context-Intensive Tasks
mā: Bocharnikov, Andrey, me ētahi atu.
I whakaputaina: (2026)

XKV: Personalized KV Cache Memory Reduction for Long-Context LLM Inference
mā: Li, Weizhuo, me ētahi atu.
I whakaputaina: (2024)

NestedKV: Nested Memory Routing for Long-Context KV Cache Compression
mā: Chen, Hong, me ētahi atu.
I whakaputaina: (2026)

KVSculpt: KV Cache Compression as Distillation
mā: Jiang, Bo, me ētahi atu.
I whakaputaina: (2026)

On 10x Better Scalability: KV Stores Scale Up KV Cache
mā: Yu, Weiping, me ētahi atu.
I whakaputaina: (2025)

LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference
mā: Wang, Guangtao, me ētahi atu.
I whakaputaina: (2025)

KVzap: Fast, Adaptive, and Faithful KV Cache Pruning
mā: Jegou, Simon, me ētahi atu.
I whakaputaina: (2026)

CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios
mā: Wang, Luning, me ētahi atu.
I whakaputaina: (2024)

Dive into Time-Series Anomaly Detection: A Decade Review
mā: Boniol, Paul, me ētahi atu.
I whakaputaina: (2024)

DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search
mā: Chatzakis, Manos, me ētahi atu.
I whakaputaina: (2025)

Beyond KV Caching: Shared Attention for Efficient LLMs
mā: Liao, Bingli, me ētahi atu.
I whakaputaina: (2024)