Author

Khoa D. Doan

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#machine learning Preprint Sep 2026

REVA: Reusable Evidence View Aggregation for Context-Efficient RAG Serving

Retrieval-augmented generation (RAG) improves knowledge-intensive large language model (LLM) applications by conditioning generation on retrieved documents, but longer contexts increase latency, key-value (KV) cache memory, and token cost. Post-retrieval compression can reduce this cost, yet existing compressors often...

T. Nguyen, Qi-Ran Hu, Ban-Ruo Liu et al. · 0 citations

#machine learning May 2026

Why Do Reasoning Models Lose Coverage? The Role of Data and Forks in the Road

This paper investigates the cause of reasoning shrinkage under SFT-based post-training and identifies data-centric factors as a key driver of shrinkage in reasoning models and highlights diversity-aware designs as an effective lever for controlling it.

N. Nguyen, P. Shojaee, Phuc Minh Nguyen et al. · arXiv.org · 1 citation