Author

Michael Wang

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#machine learning Preprint Sep 2026

MetaKV: Adaptive KV Cache Compression for Constrained LLM Inference

Across a wide range of latency and peak memory constraints, MetaKV consistently outperforms the best static configuration, improving constrained success rate (CSR), the fraction of prompts answered correctly while satisfying both constraints, by approximately 0.07 on average and up to 0.135.

Michael Wang, Keith Li, Roozbeh Bostandoost · 0 citations

Preprint Aug 2026

W-RAG: Source-Aware Retrieval for Enterprise Document Generation from Heterogeneous Knowledge Bases

W-RAG is proposed, a source-aware retrieval framework that performs ontology-guided retrieval, local ranking within each knowledge base, and source-level weighting to regulate evidence composition to improve document coverage and generation quality.

Hridya Dhulipala, Rajesh Ombase, Michael Wang et al. · 0 citations