Papers by Jaspreet Ranjit
Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants (2026.acl-long)
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Jaspreet Ranjit, Hyundong Justin Cho, Claire J. Smerdon, Yoonsoo Nam, Myles Phung, Jonathan May, John R. Blosnich, Swabha Swayamdipta
| Challenge: | Using language models, annotators can help develop novel suicide interventions . 85% of cases where LM predictions disagree with existing annotations are analyzed . |
| Approach: | They propose a human-in-the-loop algorithm that leverages language models as an assistant to annotators and experts to facilitate data-driven insights from NVDRS data. |
| Outcome: | The proposed algorithm can be used to support the development of novel suicide interventions . it finds that LM predictions match existing data annotations about 85% of the time . |
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants (2024.emnlp-main)
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Jaspreet Ranjit, Brihi Joshi, Rebecca Dorn, Laura Petry, Olga Koumoundouros, Jayne Bottarini, Peichen Liu, Eric Rice, Swabha Swayamdipta
| Challenge: | a large-scale analysis of millions of tweets on homelessness is challenging to understand at scale. |
| Approach: | They propose a framing typology: Online Attitudes Towards Homelessness (OATH) They use large language models to analyze millions of tweets to find patterns in public attitudes . |
| Outcome: | The proposed model speeds up annotations while incurring a 3 point performance reduction compared to existing classifiers . |