5 citations · 5 across the 7 of their papers we have counts for
5 papers · 1 filter
Disparities In Negation Understanding Across Languages In Vision-Language Models
Charikleia Moraitaki, Sarah Pan, Skyler Pulling +3
Vision-language models (VLMs) exhibit affirmation bias: a systematic tendency to select positive captions ("X is present") even when the correct description contains negation ("no…
MOSAIC: Modeling Social AI for Content Dissemination and Regulation in Multi-Agent Simulations
Genglin Liu, Vivian Le, Salman Rahman +3
We present a novel, open-source social network simulation framework, MOSAIC, where generative language agents predict user behaviors such as liking, sharing, and flagging content.…
MisinfoEval: Generative AI in the Era of "Alternative Facts"
Saadia Gabriel, Liang Lyu, James Siderius +3
The spread of misinformation on social media platforms threatens democratic processes, contributes to massive economic losses, and endangers public health. Many efforts to address…
SFTMix: Elevating Language Model Instruction Tuning with Mixup Recipe
Yuxin Xiao, Shujian Zhang, Wenxuan Zhou +2
To acquire instruction-following capabilities, large language models (LLMs) undergo instruction tuning, where they are trained on instruction-response pairs using next-token predic…
Can AI Relate: Testing Large Language Model Response for Mental Health Support
Saadia Gabriel, Isha Puri, Xuhai Xu +2
Large language models (LLMs) are already being piloted for clinical use in hospital systems like NYU Langone, Dana-Farber and the NHS. A proposed deployment use case is psychothera…