Author

Daisuke Miyashita

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Preprint Oct 2026

AiSAQ-in-Filtering for DRAM-free Filtered Information Retrieval

Filtering search is one of the crucial applications of approximate nearest neighbor search (ANNS). In filtering search, label information is used in conjunction with unstructured vector data. ANNS provides efficient similarity search in large-scale datasets, however, the memory footprint of storing both vector data and...

Kento Tatsuno, Daisuke Miyashita, Kazunari Sumiyoshi et al. · 0 citations

#natural language process... Preprint Oct 2026

KV-Repurpose: A Testbed for Evaluating Non-Prefix KV-Cache Reuse

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 prompts, conversation histories, or dynamic metadata. We present KV-Repurpose, an open-source, vLLM-based system for developing and evaluating seg...

Taiga Ikeda, Daisuke Miyashita, Jun Deguchi · 1 citation

#machine learning Preprint Sep 2026

Counterexamples to Local Reconstruction Gain as a Proxy for Final Fidelity in Residual Completion

The results show that better local reconstruction need not translate into better final-model fidelity, and that the reversal is specific to approximate completion in these cases.

Yasuto Hoshi, Daisuke Miyashita, Jun Deguchi · 0 citations

#artificial intelligence Preprint Sep 2026

Fine-Tuning a KV Cache Concatenation-Aware Model or Recomputing KV Caches? Why Not Both?

A combined approach is proposed that fine-tunes the model while taking KV cache concatenation into account and selectively recomputes a subset of the KV caches and demonstrates improved accuracy for long-context inputs.

F. Tachibana, Daisuke Miyashita, Jun Deguchi · 0 citations