Caleb Ziems

Latent Hatred: A Benchmark for Understanding Implicit Hate Speech

2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Mai ElSherief, Caleb Ziems, David Muchlinski, Vaishnavi Anupindi, Jordyn Seybolt, Munmun De Choudhury, Diyi Yang. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 2021.

CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation

2023 · arXiv (Cornell University)

Annotated data plays a critical role in Natural Language Processing (NLP) in training models and evaluating their performance. Given recent developments in Large Language Models (LLMs), models such as ChatGPT demonstrate zero-shot capability on many …

Can Large Language Models Transform Computational Social Science?

2023 · Computational Linguistics

Abstract Large language models (LLMs) are capable of successfully performing many language processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify and explain social phenomena like persuasiveness and political ideology, then …