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Jaspreet Ranjit

Observed name: Ranjit, Jaspreet
Observed institution: University of Southern California
ORCID: 0009-0000-5843-2701
Observed ORCID: 0009-0000-5843-2701
OpenAlex ID: A5129746406
OATH-Frames: Characterizing Online Attitudes Towards Homelessness with LLM Assistants
2024 · Jaspreet Ranjit, Brihi Joshi, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2
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Mortality Research With Artificial Intelligence Tools: Applying Language Models to the National Violent Death Reporting System Suicide Narratives, 2003-2023.
2026 · John R Blosnich, Jaspreet Ranjit, et al. · PubMed · 1
Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning
2026 · Jaspreet Ranjit, Ke Zhou, et al. · CHI Conference on Human Factors in Computing Systems · 1
Side-by-side Comparison Amplifies Dialect Bias in Language Models
2026 · Kritee Kondapally, Claire J. Smerdon, et al. · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
Will AI Agents Free Us From Meaningless Work? A Human-Centered Analysis
2026 · Davide Ghia, Jaspreet Ranjit, et al. · Annual Symposium on Human-Computer Interaction for Work (CHIWORK)
Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants
2026 · Association for Computational Linguistics 2026, Cho, Hyundong, et al. · Underline Science Inc.
Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning
2026 · Ranjit, Jaspreet, Zhou, Ke, et al. · arXiv (Cornell University)
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Uncovering Intervention Opportunities for Suicide Prevention with Language Model Assistants
2026 · Jaspreet Ranjit, Hyundong Justin Cho, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Are We Automating the Joy Out of Work? Designing AI to Augment Work, Not Meaning
2026 · Jaspreet Ranjit, Ke Zhou, et al. · SSRN Electronic Journal
CoDA: A Human-LM Collaborative Codebook Development Assistant for Domain-Specific Text Annotation
2026 · Jaspreet Ranjit, Swaminathan Chellappa, et al. · Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
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Works count: 11
Citation count: 4
H-index: 1
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