2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2024
RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining
Anh-Dung Vo, Minseong Jung, Wonbeen Lee +1
The field of Natural Language Processing (NLP) has seen significant advancements with the development of Large Language Models (LLMs). However, much of this research remains focuse…
cs.LG2024
Heuristic Algorithm-based Action Masking Reinforcement Learning (HAAM-RL) with Ensemble Inference Method
Kyuwon Choi, Cheolkyun Rho, Taeyoun Kim +1
This paper presents a novel reinforcement learning (RL) approach called HAAM-RL (Heuristic Algorithm-based Action Masking Reinforcement Learning) for optimizing the color batching…
cs.LG2023★ 2 cited
Toward Reinforcement Learning-based Rectilinear Macro Placement Under Human Constraints
Tuyen P. Le, Hieu T. Nguyen, Seungyeol Baek +8
Macro placement is a critical phase in chip design, which becomes more intricate when involving general rectilinear macros and layout areas. Furthermore, macro placement that incor…