Get started
Author

Jason Samuel Lucas

Observed names: Jason Lucas, Jason S Lucas, Jason S. Lucas, Lucas, Jason, Lucas, Jason Samuel
ORCID: 0009-0000-3494-6935
Observed ORCID: 0009-0000-3494-6935
OpenAlex ID: A5060378653
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
2023 · Dominik Macko, Robert Moro, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 38
PDF
The Longtail Impact of Generative AI on Disinformation: Harmonizing Dichotomous Perspectives
2024 · Jason S. Lucas, Barani Maung Maung, et al. · IEEE Intelligent Systems · 12
Authorship Obfuscation in Multilingual Machine-Generated Text Detection
2024 · Dominik Macko, Robert Moro, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 6
PDF
Generative AI Disproportionately Harms Long Tail Users
2024 · Barani Maung Maung, Keegan McBride, et al. · Computer · 4
Beyond Speculation: Measuring the Growing Presence of Large Language Model-Generated Texts in Multilingual Disinformation
2026 · Dominik Macko, Aashish Anantha Ramakrishnan, et al. · Computer · 3
PDF
Beemo: Benchmark of Expert-edited Machine-generated Outputs
2025 · Ekaterina Artemova, Jason S Lucas, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 2
PDF
Innovation capability moderates the association between AI readiness and sustainable development in ASEAN
2026 · Pureheart Ogheneogaga Irikefe, Qi Yi Thong, et al. · Discover Sustainability · 1
Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints
2025 · Al-Lawati, Ali, Lucas, Jason, et al. · arXiv (Cornell University) · 1
PDF
Beemo: Benchmark of Expert-edited Machine-generated Outputs
2024 · Artemova, Ekaterina, Lucas, Jason, et al. · arXiv (Cornell University) · 1
PDF
Truth in Contrast: Calibrated Factual Evidence from Language Model Likelihoods
2026 · Srey, Ponhvoan, Lucas, Jason, et al. · arXiv (Cornell University)
PDF
Predicting sustainable development goals with global AI readiness: A hybrid Bayesian Belief Network and artificial neural network approach
2026 · Pureheart Ogheneogaga Irikefe, Reuben George, et al. · Journal of Open Innovation Technology Market and Complexity
PDF
BLUFF: Benchmarking the Detection of False and Synthetic Content across 58 Low-Resource Languages
2026 · Jason Lucas, Matt Murtagh-White, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects
2026 · Jason S Lucas, Matt Murtagh White, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
PDF
Semantic Captioning: Benchmark Dataset and Graph-Aware Few-Shot In-Context Learning for SQL2Text
2025 · Al-Lawati, Ali, Lucas, Jason, et al. · arXiv (Cornell University)
PDF
GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs
2025 · Ali Al Lawati, Jason S Lucas, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
Chain-of-Interactions: Multi-step Iterative ICL Framework for Abstractive Task-Oriented Dialogue Summarization of Conversational AI Interactions
2025 · Jason S Lucas, Ali Al Lawati, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
MULTITuDE
2023 · Macko, Dominik, Moro, Robert, et al. · Zenodo (CERN European Organization for Nuclear Research)
Works count: 17
Citation count: 68
H-index: 4
I10-index: 2
Year
Topic
Type