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Minjung Jo

2 accepted papers

2026

ICaRus: Identical Cache Reuse for Efficient Multi-Model Inference

ICLR 2026poster

Multi model inference, where multiple task-specialized models collaborate to solve complex real-world problems, has recently emerged as a prominent paradigm, particularly in the development of agentic AI systems. However, in such scenarios, each model must maintain its own Key-Value (KV) cache for t…

Cited by 0SourceScholar
2024

DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation

NeurIPS 2024poster

Large language models (LLMs) have achieved significant success across various domains. However, training these LLMs typically involves substantial memory and computational costs during both forward and backward propagation. While parameter-efficient fine-tuning (PEFT) considerably reduces the traini…