Jason S. Lucas
Jason S. Lucas
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Recent & Upcoming Talks
2023
Presented at the EMNLP '23 Main Conference Proceedings
Michiharu Yamashita and I co-present our latest research, Titled, Fighting Fire With Fire - The Dual Role of Large Language Models in Crafting and Detecting Elusive Disinformation. This is a collaboration with Penn State and MIT Lincoln. Our study demonstrates the dual capacity of LLMs for offensive misuse and defense detection against disinformation without requiring additional training.
Dec 9, 2023 9:00 AM — 9:20 AM
Resorts World Convention Centre
Jason Lucas
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Michiharu Yamashita
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St. George's University Invited Talk on Artifical Intelligence and Latest AI Research
This talk explores recent advances in AI and natural language processing. It highlights an influential EMNLP 2023 paper: “Fighting Fire with Fire” - introducing adversarial attack methods that reveal weaknesses in AI systems by inducing model misclassifications. However, it also shows the dual use for combatting harmful text. Published among 900 highly selective papers, this work epitomizes progress in strengthening robustness, while using AI’s dual capacities for good. Brief background will be provided before diving into the state of the field and latest innovations showcased across the cutting-edge EMNLP research.
Nov 16, 2023 9:00 AM — 9:20 AM
Online Presentation
Jason Lucas
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Presented a poster at NRT Annual Meeting Arizona '23
I co-presented with Cristal Giorio Jackson at the 2023 NSF NRT Annual Meeting in Arizona State University. This NSF-funded research examines whether mismatching native accent variants impacts language processing for native listeners. An EEG experiment found successful semantic access occurred when listeners heard matched native variants, but unsuccessful semantic mapping when hearing unfamiliar, less intelligible variants. This suggests processing costs when speech doesn’t match a native variant. The project integrates psychology, linguistics and AI to explore improving automatic speech recognition and language ID for regional/non-native accents. Techniques like leveraging EEG biomarkers and combining acoustic models with character language models may enhance accent robustness.
Oct 30, 2023 9:00 AM — 10:00 AM
Arizona State University
Jason Lucas
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Presented at the Penn State Research in Action
This presentation at the “Research in Action” alumni program was delivered alongside Dr. Carol Miller and Suhas Nagaraj and focused on leveraging AI in speech and language therapy for children. It addressed the significant challenges in providing quality speech and language (S&L) services to children with various disorders. The team discussed the potential of AI technologies, like multimodal learning and federated learning, to enhance the availability and effectiveness of these services. They also highlighted the importance of responsible data use, considering privacy and ethical concerns, especially in the context of children’s speech data.
Sep 9, 2023 9:00 AM — 10:00 AM
Penn State University
Jason Lucas
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Lightening Talk for the CRA-WP Grad Cohort Workshop for IDEALS
This paper examines the challenge of detecting false claims related to COVID-19 circulating online in Caribbean countries. The Caribbean’s linguistic diversity and scarcity of fact-checking pose difficulties for AI models trained on English data. Experiments found classical machine learning approaches struggle to identify Caribbean false claims. More sophisticated techniques like transfer learning with multilingual models showed promise. But all models suffered reduced performance on non-English content. The paper concludes AI solutions developed for high-resource settings have limited portability to low-resource regions facing endemic barriers around data, language, and misinformation ecosystems.
Mar 21, 2023 9:00 AM — 9:20 AM
Minneapolis, MN
Jason Lucas
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2022
Presented at the ACL '22 Workshop Conference Proceedings
I present my latest research, Titled, Detecting False Claims in Low-Resource Regions - A Case Study of Caribbean Islands. Our study democratize the challenges in transferling and applying Anglo-centric models in low-resource settings, evening with human writen or machine translated english training data.
May 9, 2022 9:00 AM — May 9, 2023 9:20 AM
The Convention Centre Dublin
Jason Lucas
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Presented at the 6th Pan African Proffessional Alliance Conference Proceedings
My research presentaton addresses the challenge of detecting false claims in low-resource regions, with a focus on the Caribbean Islands. The presentation highlighted the limitations of high-resource language detectors in such regions, the inadequacy of classical machine learning models, and the potential of state-of-the-art models with limited generalizability. Lucas emphasized the importance of pretrained language models and transfer learning in enhancing downstream detectors, advocating for multilingual fake news detection and cross-lingual generalizable approaches.
May 9, 2022 9:00 AM — 9:30 AM
Penn State University
Jason Lucas
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