Jonathan Zheng

I am a first 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) evaluation and limitations. I am also interested in utilizing LLMs in social media applications, such as for misinformation detection.

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Research

I'm interested in natural language processing and machine learning. My previous projects have focused on generalizability and robustness of NLP systems.

Publications
NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms
Jonathan Zheng, Alan Ritter Wei Xu,
ACL, 2024
arXiv

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

Stanceosaurus 2.0: Classifying Stance Towards Russian and Spanish Misinformation
Anton Lavrouk, Ian Ligon, Tarek Naous, Jonathan Zheng, Alan Ritter Wei Xu,
W-NUT, 2024
arXiv

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: Classifying Stance Towards Multilingual Misinformation
Jonathan Zheng, Ashutosh Baheti, Tarek Naous, Wei Xu, Alan Ritter
EMNLP, 2022
arXiv

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