1 citations · 2 across the 5 of their papers we have counts for
5 papers
LLM Agents as Computational Typologists
Changbing Yang, Christopher Hammerly, Freda Shi +1
Linguistic typology relies on expert analysis of reference grammars across languages, making large-scale crosslinguistic comparison labor-intensive and unscalable. We introduce AUT…
LingGym: How Far Are LLMs from Thinking Like Field Linguists?
Changbing Yang, Franklin Ma, Freda Shi +1
This paper introduces LingGym, a new benchmark that evaluates LLMs' capacity for meta-linguistic reasoning using Interlinear Glossed Text (IGT) and grammatical descriptions extract…
Autonomy Reshapes How Personalization Affects Privacy Concerns and Trust in LLM Agents
Zhiping Zhang, Yi Evie Zhang, Freda Shi +1
LLM agents require personal information for personalization in order to effectively act on users' behalf, but this raises privacy concerns that can discourage data sharing, limitin…
DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models
Shucheng Huang, Freda Shi, Chen Sun +6
Human drivers possess spatial and causal intelligence, enabling them to perceive driving scenarios, anticipate hazards, and react to dynamic environments. In contrast, autonomous v…
Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning
Yilei Tu, Andrew Xue, Freda Shi
While multilingual large language models generally perform adequately, and sometimes even rival English performance on high-resource languages (HRLs), they often significantly unde…