8 citations · 16 across the 14 of their papers we have counts for
15 papers
GenAIOps for GenAI Model-Agility
Ken Ueno, Makoto Kogo, Hiromi Kawatsu +2
AI-agility, with which an organization can be quickly adapted to its business priorities, is desired even for the development and operations of generative AI (GenAI) applications.…
Matching of Descriptive Labels to Glossary Descriptions
Toshihiro Takahashi, Takaaki Tateishi, Michiaki Tatsubori
Semantic text similarity plays an important role in software engineering tasks in which engineers are requested to clarify the semantics of descriptive labels (e.g., business terms…
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
Subhajit Chaudhury, Sarathkrishna Swaminathan, Daiki Kimura +8
Text-based reinforcement learning agents have predominantly been neural network-based models with embeddings-based representation, learning uninterpretable policies that often do n…
Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder Diagnosis
Yeldar Toleubay, Don Joven Agravante, Daiki Kimura +3
In response to the global challenge of mental health problems, we proposes a Logical Neural Network (LNN) based Neuro-Symbolic AI method for the diagnosis of mental disorders. Due…
DiffG-RL: Leveraging Difference between State and Common Sense
Tsunehiko Tanaka, Daiki Kimura, Michiaki Tatsubori
Taking into account background knowledge as the context has always been an important part of solving tasks that involve natural language. One representative example of such tasks i…
Commonsense Knowledge from Scene Graphs for Textual Environments
Tsunehiko Tanaka, Daiki Kimura, Michiaki Tatsubori
Text-based games are becoming commonly used in reinforcement learning as real-world simulation environments. They are usually imperfect information games, and their interactions ar…