Jonathan Zheng

I am a second year PhD student at the Georgia Institute of Technology majoring in computer science. I have been working with Wei Xu and Alan Ritter since my second undergraduate year.

My research interests are in Natural Language Processing and Machine Learning, focusing on large language model (LLM) learning and generalizability. I am also interested in using LLMs for practical applications for social good, such as for misinformation detection and privacy risk detection.

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I'm interested in the learning and reasoning process of large language models. My previous projects have explored the generalizability and robustness of NLP systems in diverse semantic spaces containing misinformation, language model representations of neologisms emerging over time, and probabilistic reasoning of LLMs in real-world applications.

Neo-Bench is a novel benchmark that evaluates the capabilities of LLMs in generalizing on new words that emerge over time..

Stanceosaurus 2.0 extends the previous version by collecting Russian and Spanish tweets annotated with stance towards claims to combat misinformation online, especially for the ongoing conflict in Ukraine.

Stanceosaurus is a large corpus of English, Hindi, and Arabic tweets annotated with stance towards claims to combat misinformation online.