Michiharu Yamashita

According to our database, Michiharu Yamashita authored at least 17 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

BLUFF: Benchmarking the Detection of False and Synthetic Content across 58 Low-Resource Languages.

Jason Samuel Lucas, Matt Murtagh-White, Adaku Uchendu, Ali Al-Lawati, Michiharu Yamashita, Dominik Macko, Ivan Srba, Róbert Móro, Dongwon Lee

CoRR, March, 2026

2025

CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship.

Yeon-Chang Lee, Jaehyun Lee, Michiharu Yamashita, Dongwon Lee, Sang-Wook Kim

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Unmasking Fake Careers: Detecting Machine-Generated Career Trajectories via Multi-layer Heterogeneous Graphs.

Michiharu Yamashita, Thanh Tran, Delvin Ce Zhang, Dongwon Lee

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Transformers for Payment Transactions Via Periodic Positional Encoding and Contrastive Learning.

Michiharu Yamashita, Mert Kosan, Yong Zhao, Can Liu, Shubham Agrawal, Chiranjeet Chetia

Proceedings of the IEEE International Conference on Big Data, 2025

2024

MULTITuDEv2.

Dominik Macko, Róbert Móro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mária Bieliková

Dataset, September, 2024

Fake Resume Attacks: Data Poisoning on Online Job Platforms.

Michiharu Yamashita, Thanh Tran, Dongwon Lee

Proceedings of the ACM on Web Conference 2024, 2024

Authorship Obfuscation in Multilingual Machine-Generated Text Detection.

Dominik Macko, Róbert Móro, Adaku Uchendu, Ivan Srba, Jason Samuel Lucas, Michiharu Yamashita, Nafis Irtiza Tripto, Dongwon Lee, Jakub Simko, Mária Bieliková

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

OpenResume: Advancing Career Trajectory Modeling with Anonymized and Synthetic Resume Datasets.

Michiharu Yamashita, Thanh Tran, Dongwon Lee

Proceedings of the IEEE International Conference on Big Data, 2024

2023

MULTITuDE.

Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková

Dataset, October, 2023

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark.

Dominik Macko, Róbert Móro, Adaku Uchendu, Jason Samuel Lucas, Michiharu Yamashita, Matús Pikuliak, Ivan Srba, Thai Le, Dongwon Lee, Jakub Simko, Mária Bieliková

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation.

Jason Samuel Lucas, Adaku Uchendu, Michiharu Yamashita, Jooyoung Lee, Shaurya Rohatgi, Dongwon Lee

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

JAMES: Normalizing Job Titles with Multi-Aspect Graph Embeddings and Reasoning.

Michiharu Yamashita, Jia Tracy Shen, Thanh Tran, Hamoon Ekhtiari, Dongwon Lee

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2022

JAMES: Job Title Mapping with Multi-Aspect Embeddings and Reasoning.

Michiharu Yamashita, Jia Tracy Shen, Hamoon Ekhtiari, Thanh Tran, Dongwon Lee

CoRR, 2022

2021

MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education.

Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Dongwon Lee

CoRR, 2021

Classifying Math KCs via Task-Adaptive Pre-Trained BERT.

Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee

CoRR, 2021

Classifying Math Knowledge Components via Task-Adaptive Pre-Trained BERT.

Jia Tracy Shen, Michiharu Yamashita, Ethan Prihar, Neil T. Heffernan, Xintao Wu, Sean McGrew, Dongwon Lee

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2018

Discovery of User Preferences from Big Geospatial Data Using Topic Models.

Michiharu Yamashita, Shota Katsumata, Yusuke Fukasawa

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018