Jason Samuel Lucas

According to our database, Jason Samuel Lucas authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

LLM Benchmark Datasets Should Be Contamination-Resistant.

Ali Al-Lawati, Jason Samuel Lucas, Dongwon Lee, Suhang Wang

CoRR, May, 2026

Moltbook Moderation: Uncovering Hidden Intent Through Multi-Turn Dialogue.

Ali Al-Lawati, Nafis Irtiza Tripto, Abolfazl Ansari, Jason Samuel Lucas, Suhang Wang, Dongwon Lee

CoRR, May, 2026

DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects.

Jason Samuel Lucas, Matt Murtagh, Ali Al-Lawati, Uchendu Uchendu, Adaku Uchendu, Dongwon Lee

CoRR, April, 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

Beyond Speculation: Measuring the Growing Presence of Large Language Model-Generated Texts in Multilingual Disinformation.

Dominik Macko, Aashish Anantha Ramakrishnan, Jason Samuel Lucas, Róbert Móro, Ivan Srba, Adaku Uchendu, Dongwon Lee

Computer, February, 2026

2025

Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation.

Dominik Macko, Aashish Anantha Ramakrishnan, Jason Samuel Lucas, Róbert Móro, Ivan Srba, Adaku Uchendu, Dongwon Lee

CoRR, March, 2025

Beemo: Benchmark of Expert-edited Machine-generated Outputs.

Ekaterina Artemova, Jason Samuel Lucas, Saranya Venkatraman, Jooyoung Lee, Sergei Tilga, Adaku Uchendu, Vladislav Mikhailov

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Generative AI Disproportionately Harms Long Tail Users.

Barani Maung Maung, Keegan McBride, Jason Samuel Lucas, Maryam Tabar, Dongwon Lee

Computer, November, 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

The Longtail Impact of Generative AI on Disinformation: Harmonizing Dichotomous Perspectives.

Jason Samuel Lucas, Barani Maung Maung, Maryam Tabar, Keegan McBride, Dongwon Lee

IEEE Intell. Syst., 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

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