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20242026
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cs.CL2026

Will Scaling Improve Social Simulation with LLMs?

Caleb Ziems, William Held, Su Doga Karaca +3

Large Language Model (LLM) social simulations are a promising research method, but they are not yet faithful enough to be adopted widely. In this work, we investigate whether the c…

cs.CL2025

Culture Cartography: Mapping the Landscape of Cultural Knowledge

Caleb Ziems, William Held, Jane Yu +3

To serve global users safely and productively, LLMs need culture-specific knowledge that might not be learned during pre-training. How do we find such knowledge that is (1) salient…

cs.CL2025

Mind the Gap! Static and Interactive Evaluations of Large Audio Models

Minzhi Li, William Barr Held, Michael J Ryan +4

As AI chatbots become ubiquitous, voice interaction presents a compelling way to enable rapid, high-bandwidth communication for both semantic and social signals. This has driven re…

cs.CL2024

Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles

Julia Kruk, Michela Marchini, Rijul Magu +3

A dog whistle is a form of coded communication that carries a secondary meaning to specific audiences and is often weaponized for racial and socioeconomic discrimination. Dog whist…

cs.CL2024

CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies

Weiyan Shi, Ryan Li, Yutong Zhang +5

To enhance language models' cultural awareness, we design a generalizable pipeline to construct cultural knowledge bases from different online communities on a massive scale. With…