Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations. - Rickard Stureborg; Bhuwan Dhingra; Jun Yang 001 (CHI, 2023)

Learning the Legibility of Visual Text Perturbations. - Dev Seth; Rickard Stureborg; Danish Pruthi; Bhuwan Dhingra (EACL, 2023)

Exploring the Effect of Frequency Resolution in FNet. - Gregory Szumel; Ghazal Khalighinejad; Rickard Stureborg; Sam Wiseman (SustaiNLP, 2023)

Do Not Harm Protected Groups in Debiasing Language Representation Models. - Chloe Qinyu Zhu; Rickard Stureborg; Brandon Fain (CoRR, 2023)

Characterizing the Confidence of Large Language Model-Based Automatic Evaluation Metrics. - Rickard Stureborg; Dimitris Alikaniotis; Yoshi Suhara (EACL (2), 2024)

Tailoring Vaccine Messaging with Common-Ground Opinions. - Rickard Stureborg; Sanxing Chen; Roy Xie; Aayushi Patel; Christopher Li; Chloe Qinyu Zhu; Tingnan Hu; Jun Yang; Bhuwan Dhingra (NAACL-HLT (Findings), 2024)

Hierarchical Multi-Label Classification of Online Vaccine Concerns. - Chloe Qinyu Zhu; Rickard Stureborg; Bhuwan Dhingra (CoRR, 2024)

Large Language Models are Inconsistent and Biased Evaluators. - Rickard Stureborg; Dimitris Alikaniotis; Yoshi Suhara (CoRR, 2024)

Tailoring Vaccine Messaging with Common-Ground Opinions. - Rickard Stureborg; Sanxing Chen; Ruoyu Xie; Aayushi Patel; Christopher Li; Chloe Qinyu Zhu; Tingnan Hu; Jun Yang; Bhuwan Dhingra (CoRR, 2024)

Your Large Language Models are Leaving Fingerprints. - Hope McGovern; Rickard Stureborg; Yoshi Suhara; Dimitris Alikaniotis (COLING Workshops, 2025)

MatViX: Multimodal Information Extraction from Visually Rich Articles. - Ghazal Khalighinejad; Sharon Scott; Ollie Liu; Kelly L. Anderson; Rickard Stureborg; Aman Tyagi; Bhuwan Dhingra (NAACL (Long Papers), 2025)

A Platform for Investigating Public Health Content with Efficient Concern Classification. - Christopher Li; Rickard Stureborg; Bhuwan Dhingra; Jun Yang (CoRR, 2025)