5 citations · 7 across the 4 of their papers we have counts for
4 papers
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs
LLM-jp, :, Akiko Aizawa +80
This paper introduces LLM-jp, a cross-organizational project for the research and development of Japanese large language models (LLMs). LLM-jp aims to develop open-source and stron…
Crowdsourcing Evaluation of Saliency-based XAI Methods
Xiaotian Lu, Arseny Tolmachev, Tatsuya Yamamoto +5
Understanding the reasons behind the predictions made by deep neural networks is critical for gaining human trust in many important applications, which is reflected in the increasi…
Inter-domain Multi-relational Link Prediction
Luu Huu Phuc, Koh Takeuchi, Seiji Okajima +4
Multi-relational graph is a ubiquitous and important data structure, allowing flexible representation of multiple types of interactions and relations between entities. Similar to o…
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures
Arseny Tolmachev, Akira Sakai, Masaru Todoriki +1
Most graph neural network architectures work by message-passing node vector embeddings over the adjacency matrix, and it is assumed that they capture graph topology by doing that.…