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Inho Jeong

2 accepted papers

2025

HiFC: High-efficiency Flash-based KV Cache Swapping for Scaling LLM Inference

NeurIPS 2025poster

Large‑language‑model inference with long contexts often produces key–value (KV) caches whose footprint exceeds the capacity of high‑bandwidth memory on a GPU. Prior LLM inference frameworks such as vLLM mitigate this pressure by swapping KV cache pages to host DRAM. However, the high cost of large D…

Cited by 2SourceScholar
2025

PaCA: Partial Connection Adaptation for Efficient Fine-Tuning

ICLR 2025poster

Prior parameter-efficient fine-tuning (PEFT) algorithms reduce memory usage and computational costs of fine-tuning large neural network models by training only a few additional adapter parameters, rather than the entire model. However, the reduction in computational costs due to PEFT does not necess…