2 citations · 2 across the 3 of their papers we have counts for
4 papers
KV-Repurpose: A Testbed for Evaluating Non-Prefix KV-Cache Reuse
Taiga Ikeda, Daisuke Miyashita, Jun Deguchi
KV-cache reuse in large language model serving is commonly limited to exact prompt prefixes, preventing reuse when the same retrieved document appears after different system prompt…
Revolutionizing Long-Term Memory in AI: New Horizons with High-Capacity and High-Speed Storage
Hiroaki Yamanaka, Daisuke Miyashita, Takashi Toi +3
Driven by our mission of "uplifting the world with memory," this paper explores the design concept of "memory" that is essential for achieving artificial superintelligence (ASI). R…
On Storage Neural Network Augmented Approximate Nearest Neighbor Search
Taiga Ikeda, Daisuke Miyashita, Jun Deguchi
Large-scale approximate nearest neighbor search (ANN) has been gaining attention along with the latest machine learning researches employing ANNs. If the data is too large to fit i…
AiSAQ: All-in-Storage ANNS with Product Quantization for DRAM-free Information Retrieval
Kento Tatsuno, Daisuke Miyashita, Taiga Ikeda +3
Graph-based approximate nearest neighbor search (ANNS) algorithms work effectively against large-scale vector retrieval. Among such methods, DiskANN achieves good recall-speed trad…