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- The University of TokyoJP171 papers
- The Graduate University for Advanced Studies, SOKENDAIJP129 papers
- NTT Basic Research LaboratoriesJP96 papers
- Stanford UniversityUS80 papers
- Japan Science and Technology AgencyJP63 papers
- NTT (Japan)JP60 papers
- Centre National de la Recherche ScientifiqueFR55 papers
- New York UniversityUS49 papers
- New York University ShanghaiCN49 papers
- Hewlett-Packard (United Kingdom)GB41 papers
- East China Normal UniversityCN38 papers
- Japanese-French Laboratory for InformaticsJP38 papers
46 papers · 1 filter
TopiCLEAR: Adaptive embedding clustering for interpretable topic discovery from short texts
Aoi Fujita, Taichi Yamamoto, Yuri Nakayama +1
Topic discovery is a fundamental technique for text mining that identifies abstract topics within large document collections. A recent approach to topic discovery is to cluster doc…
Diagnosing and Mitigating Semantic Inconsistencies in Wikidata's Classification Hierarchy
Shixiong Zhao, Hideaki Takeda
Wikidata is currently the largest open knowledge graph on the web, encompassing over 120 million entities. It integrates data from various domain-specific databases and imports a s…
Repurposing Annotation Guidelines to Instruct LLM Annotators: A Case Study
Kon Woo Kim, Rezarta Islamaj, Jin-Dong Kim +2
This study investigates how existing annotation guidelines can be repurposed to instruct large language model (LLM) annotators for text annotation tasks. Traditional guidelines are…
Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
Tobias Schreieder, Tim Schopf, Michael Färber
The increasing adoption of large language models (LLMs) has raised serious concerns about their reliability and trustworthiness. As a result, a growing body of research focuses on…
Harnessing PDF Data for Improving Japanese Large Multimodal Models
Jeonghun Baek, Akiko Aizawa, Kiyoharu Aizawa
Large Multimodal Models (LMMs) have demonstrated strong performance in English, but their effectiveness in Japanese remains limited due to the lack of high-quality training data. C…
ParaRev: Building a dataset for Scientific Paragraph Revision annotated with revision instruction
Léane Jourdan, Nicolas Hernandez, Richard Dufour +2
Revision is a crucial step in scientific writing, where authors refine their work to improve clarity, structure, and academic quality. Existing approaches to automated writing assi…