Haeyeon Kim — accepted AI-conference papers

2024

ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

Haoran Ye, Jiarui Wang, Zhiguang Cao, Federico Berto, Chuanbo Hua, Haeyeon Kim +2

NeurIPS 2024poster

The omnipresence of NP-hard combinatorial optimization problems (COPs) compels domain experts to engage in trial-and-error heuristic design. The long-standing endeavor of design automation has gained new momentum with the rise of large language models (LLMs). This paper introduces Language Hyper-Heu…

Cited by 56 Source ↗PDF ↗code ↗Scholar ↗

2023

DevFormer: A Symmetric Transformer for Context-Aware Device Placement

Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park

ICML 2023poster

In this paper, we present DevFormer, a novel transformer-based architecture for addressing the complex and computationally demanding problem of hardware design optimization. Despite the demonstrated efficacy of transformers in domains including natural language processing and computer vision, their…

Cited by 21 Source ↗PDF ↗Scholar ↗