23 citations · 47 across the 15 of their papers we have counts for
15 papers
Memorizing Documents with Guidance in Large Language Models
Bumjin Park, Jaesik Choi
Training data plays a pivotal role in AI models. Large language models (LLMs) are trained with massive amounts of documents, and their parameters hold document-related contents. Re…
Optimal path for Biomedical Text Summarization Using Pointer GPT
Hyunkyung Han, Jaesik Choi
Biomedical text summarization is a critical tool that enables clinicians to effectively ascertain patient status. Traditionally, text summarization has been accomplished with trans…
Capsule Neural Networks as Noise Stabilizer for Time Series Data
Soyeon Kim, Jihyeon Seong, Hyunkyung Han +1
Capsule Neural Networks utilize capsules, which bind neurons into a single vector and learn position equivariant features, which makes them more robust than original Convolutional…
Explaining the Decisions of Deep Policy Networks for Robotic Manipulations
Seongun Kim, Jaesik Choi
Deep policy networks enable robots to learn behaviors to solve various real-world complex tasks in an end-to-end fashion. However, they lack transparency to provide the reasons of…
Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
Kyowoon Lee, Seongun Kim, Jaesik Choi
Diffusion-based planning has shown promising results in long-horizon, sparse-reward tasks by training trajectory diffusion models and conditioning the sampled trajectories using au…
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills
Seongun Kim, Kyowoon Lee, Jaesik Choi
Mutual information-based reinforcement learning (RL) has been proposed as a promising framework for retrieving complex skills autonomously without a task-oriented reward function t…