Hongbeen Kim

According to our database, Hongbeen Kim authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2026

Adaptive Parallel Monte Carlo Tree Search for Efficient Test-time Compute Scaling.

Hongbeen Kim, Juhyun Lee, Sanghyeon Lee, Kwanghoon Choi, Jaehyuk Huh

CoRR, April, 2026

2025

Hardware-based Heterogeneous Memory Management for Large Language Model Inference.

Soojin Hwang, Jungwoo Kim, Sanghyeon Lee, Hongbeen Kim, Jaehyuk Huh

CoRR, April, 2025

Efficient LLM Inference with Activation Checkpointing and Hybrid Caching.

Sanghyeon Lee, Hongbeen Kim, Soojin Hwang, Guseul Heo, Minwoo Noh, Jaehyuk Huh

CoRR, January, 2025

Throughput-Oriented LLM Inference via KV-Activation Hybrid Caching with A Single GPU.

Sanghyeon Lee, Hongbeen Kim, Soojin Hwang, Guseul Heo, Minwoo Noh, Jaehyuk Huh

Proceedings of the 43rd IEEE International Conference on Computer Design, 2025

2023

mNPUsim: Evaluating the Effect of Sharing Resources in Multi-core NPUs.

Soojin Hwang, Sunho Lee, Jungwoo Kim, Hongbeen Kim, Jaehyuk Huh

Proceedings of the IEEE International Symposium on Workload Characterization, 2023