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31 papers in the last four weeks, up 94% on the four weeks before. 0.3% of all new papers.

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Latest papers 196

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FreqCache: Accelerating Embodied VLN Models with Adaptive Frequency-Guided Token Caching
Apr 27, 2026Zihao Zheng, Xingyue Zhou, Zhihao Mao +7Vision-Language Navigation Vision-Language Foundation Models
School of Computer Science, Peking University · School of Artificial Intelligence and Automation, Huazhong University of Science and Technology · School of Computer Science, China University of Geosciences (Wuhan) +3
AgenticCache: Cache-Driven Asynchronous Planning for Embodied AI Agents
Apr 27, 2026Hojoon Kim, Yuheng Wu, Thierry TambeLarge Language Model Planning Embodied Agents
Seoul National University, Seoul, South Korea · Stanford University, Stanford, California, USA
MTServe: Efficient Serving for Generative Recommendation Models with Hierarchical Caches
Apr 24, 2026Xin Wang, Chi Ma, Shaobin Chen +14Sequential Recommendation Graphics Processing Unit Memory
School of Computer Science, Wuhan University · Meituan · Nvidia
Sub-Token Routing for KV Cache Compression
Apr 23, 2026Wei Jiang, Wei WangKey-Value Cache Compression Token Compression
Futurewei Technologies San Jose, CA 95131, USA
X-Cache: Cross-Chunk Block Caching for Few-Step Autoregressive World Models Inference
Apr 22, 2026Yixiao Zeng, Jianlei Zheng, Chaoda Zheng +10Autoregressive Video Diffusion Models Cache
AI Infra Team, XPeng Inc.
How Much Cache Does Reasoning Need? Depth-Cache Tradeoffs in KV-Compressed Transformers
Apr 20, 2026Xiao WangKey-Value Cache Compression Key-Value Cache
FlashFPS: Efficient Farthest Point Sampling for Large-Scale Point Clouds via Pruning and Caching
Apr 20, 2026Yuzhe Fu, Hancheng Ye, Cong Guo +7Point Clouds Cache
Helen · Duke University Durham, North Carolina, USA
StreamCacheVGGT: Streaming Visual Geometry Transformers with Robust Scoring and Hybrid Cache Compression
Apr 16, 2026Xuanyi Liu, Chunan Yu, Deyi Ji +6Visual Geometry Grounded Transformer Cache
KOKONI 3D, Moxin Technology · Nanjing University of Science and Technology · University of Science and Technology of China +4
IE as Cache: Information Extraction Enhanced Agentic Reasoning
Apr 16, 2026Hang Lv, Sheng Liang, Hongchao Gu +5Agentic Reasoning Information Extraction
University of Science and Technology of China · Huawei Technologies Co., Ltd.
KV Cache Offloading for Context-Intensive Tasks
Apr 9, 2026Andrey Bocharnikov, Ivan Ermakov, Denis Kuznedelev +2Kv-Cache Management Efficient Long-Context Inference
HSE, Yandex · Yandex · Yandex, NSU
Adaptive Spectral Feature Forecasting for Diffusion Sampling Acceleration
Mar 2, 2026Jiaqi Han, Juntong Shi, Puheng Li +3Diffusion Sampling Diffusion Transformers
Stanford University · ByteDance
SenCache: Accelerating Diffusion Model Inference via Sensitivity-Aware Caching
Feb 27, 2026Yasaman Haghighi, Alexandre AlahiDiffusion Models Cache
Ecole Polytechnique Fédérale de Lausanne (EPFL)
Learning to Evict from Key-Value Cache
Feb 10, 2026Luca Moschella, Laura Manduchi, Ozan SenerKey-Value Cache Eviction Key-Value Cache
Apple
ResidualKV: Residual-Based KV Cache Compression for Efficient Long-Context Inference
Feb 8, 2026Jitai Hao, Qiang Huang, Yaowei Wang +2Efficient Long-Context Inference Key-Value Cache Compression
Harbin Institute of Technology (Shenzhen), China
Rolling Sink: Bridging Limited-Horizon Training and Open-Ended Testing in Autoregressive Video Diffusion
Feb 8, 2026Haodong Li, Shaoteng Liu, Zhe Lin +1Autoregressive Video Diffusion Models Video Diffusion Models
UC San Diego · Adobe Research
CORE-T: COherent REtrieval of Tables for Text-to-SQL
Jan 19, 2026Hassan Soliman, Vivek Gupta, Dan Roth +1Text-To-Sql Tabular Data
Ubiquitous Knowledge Processing Lab (UKP Lab), Department of Computer Science TU Darmstadt and National Research Center for Applied Cybersecurity ATHENE, Germany · Arizona State University · University of Pennsylvania

Apr 27, 2026, cs.ROJ/K move · Enter open · S save

FreqCache: Accelerating Embodied VLN Models with Adaptive Frequency-Guided Token Caching

Zihao Zheng, Xingyue Zhou, Zhihao Mao, Songyu Sun+6

School of Computer Science, Peking University · School of Artificial Intelligence and Automation, Huazhong University of Science and Technology · School of Computer Science, China University of Geosciences (Wuhan)+3

Vision-Language Navigation Vision-Language Foundation Models Cache

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Vision-Language-Navigation (VLN) models exhibit excellent navigation accuracy but incur high computational overhead. Token caching has emerged as a promising training-free strategy to reduce this cost by reusing token computation results; however, existing token caching approaches rely on visual domain methods for cacheable token selection, leading to challenges when adapted to VLN models. 1) Visual domain methods become invalid when there is viewpoint migration. 2) Visual domain methods neglect critical edge information without the aid of additional algorithms. 3) Visual domain methods overlook the temporal variation of scenarios and lack adjustability in cache budgets. In this paper, we develop detailed analyses and find that the impacts of these challenges exhibit invariance and analyzability in the frequency domain. Based on these, we propose a frequency-guided token caching framework, called FreqCache. Utilizing the inherent properties of the frequency domain, FreqCache achieves optimal token cache establishment, refreshment, and adaptive adjustment. Experiments show that FreqCache achieves 1.59x speedup with ignorable overhead, showing the effect of integrating frequency domain methods in VLN token caching.

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