Caleb Ziems

According to our database, Caleb Ziems authored at least 25 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Can Large Language Models Transform Computational Social Science?

Caleb Ziems, William Held, Omar Shaikh, Jiaao Chen, Zhehao Zhang, Diyi Yang

Comput. Linguistics, March, 2024

CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies.

Weiyan Shi, Ryan Li, Yutong Zhang, Caleb Ziems, Chunhua yu, Raya Horesh, Rogério Abreu de Paula, Diyi Yang

CoRR, 2024

Social Skill Training with Large Language Models.

Diyi Yang, Caleb Ziems, William Held, Omar Shaikh, Michael S. Bernstein, John C. Mitchell

CoRR, 2024

CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies.

Weiyan Shi, Ryan Li, Yutong Zhang, Caleb Ziems, Sunny Yu, Raya Horesh, Rogério de Paula, Diyi Yang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Measuring and Addressing Indexical Bias in Information Retrieval.

Caleb Ziems, William Held, Jane Dwivedi-Yu, Diyi Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Social Intelligence Data Infrastructure: Structuring the Present and Navigating the Future.

Minzhi Li, Weiyan Shi, Caleb Ziems, Diyi Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles.

Julia Kruk, Michela Marchini, Rijul Magu, Caleb Ziems, David Muchlinski, Diyi Yang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Impressions: Understanding Visual Semiotics and Aesthetic Impact.

Julia Kruk, Caleb Ziems, Diyi Yang

CoRR, 2023

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

Minzhi Li, Taiwei Shi, Caleb Ziems, Min-Yen Kan, Nancy F. Chen, Zhengyuan Liu, Diyi Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Impressions: Visual Semiotics and Aesthetic Impact Understanding.

Julia Kruk, Caleb Ziems, Diyi Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multi-VALUE: A Framework for Cross-Dialectal English NLP.

Caleb Ziems, William Held, Jingfeng Yang, Jwala Dhamala, Rahul Gupta, Diyi Yang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

NormBank: A Knowledge Bank of Situational Social Norms.

Caleb Ziems, Jane Dwivedi-Yu, Yi-Chia Wang, Alon Y. Halevy, Diyi Yang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Modeling Cross-Cultural Pragmatic Inference with Codenames Duet.

Omar Shaikh, Caleb Ziems, William Held, Aryan J. Pariani, Fred Morstatter, Diyi Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

TADA : Task Agnostic Dialect Adapters for English.

William Held, Caleb Ziems, Diyi Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Multi-VALUE: A Framework for Cross-Dialectal English NLP.

Caleb Ziems, William Held, Jingfeng Yang, Diyi Yang

CoRR, 2022

The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems.

Caleb Ziems, Jane A. Yu, Yi-Chia Wang, Alon Y. Halevy, Diyi Yang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Inducing Positive Perspectives with Text Reframing.

Caleb Ziems, Minzhi Li, Anthony Zhang, Diyi Yang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

VALUE: Understanding Dialect Disparity in NLU.

Caleb Ziems, Jiaao Chen, Camille Harris, Jessica Anderson, Diyi Yang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes.

Austin P. Wright, Caleb Ziems, Haekyu Park, Jon Saad-Falcon, Duen Horng Chau, Diyi Yang, Maria Tomprou

CoRR, 2021

To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence.

Caleb Ziems, Diyi Yang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Latent Hatred: A Benchmark for Understanding Implicit Hate Speech.

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

Racism is a virus: anti-asian hate and counterspeech in social media during the COVID-19 crisis.

Bing He, Caleb Ziems, Sandeep Soni, Naren Ramakrishnan, Diyi Yang, Srijan Kumar

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Racism is a Virus: Anti-Asian Hate and Counterhate in Social Media during the COVID-19 Crisis.

Caleb Ziems, Bing He, Sandeep Soni, Srijan Kumar

CoRR, 2020

Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying Classification.

Caleb Ziems, Ymir Vigfusson, Fred Morstatter

Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

2019

Ten-year Survival Prediction for Breast Cancer Patients.

Changmao Li, Han He, Yunze Hao, Caleb Ziems

CoRR, 2019