5 papers
Scarcity and Predictive Uncertainty: Implications for Societal Resource Allocation
Shafkat Farabi, Patrick J. Fowler, Sanmay Das
An emerging literature examines the critical question of when and how prediction can be useful in allocating scarce societal resources. We examine a novel variant of this question:…
Can LLMs Rank? A Tale of Triads and Triage
Gaurab Pokharel, Shafkat Farabi, Patrick J. Fowler +1
From housing allocation for households experiencing homelessness to triage in emergency departments, LLMs are increasingly being considered as judges of consequential decisions tha…
Evaluating Open-Source Vision-Language Models for Multimodal Sarcasm Detection
Saroj Basnet, Shafkat Farabi, Tharindu Ranasinghe +2
Recent advances in open-source vision-language models (VLMs) offer new opportunities for understanding complex and subjective multimodal phenomena such as sarcasm. In this work, we…
Street-Level AI: Are Large Language Models Ready for Real-World Judgments?
Gaurab Pokharel, Shafkat Farabi, Patrick J. Fowler +1
A surge of recent work explores the ethical and societal implications of large-scale AI models that make "moral" judgments. Much of this literature focuses either on alignment with…
A Survey of Multimodal Sarcasm Detection
Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia +2
Sarcasm is a rhetorical device that is used to convey the opposite of the literal meaning of an utterance. Sarcasm is widely used on social media and other forms of computer-mediat…