24 citations · 47 across the 12 of their papers we have counts for
4 papers · 1 filter
Visuospatial Perspective Taking in Multimodal Language Models
Jonathan Prunty, Seraphina Zhang, Patrick Quinn +3
As multimodal language models (MLMs) are increasingly used in social and collaborative settings, it is crucial to evaluate their perspective-taking abilities. Existing benchmarks l…
MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?
Xixian Yong, Jianxun Lian, Xiaoyuan Yi +2
Large language models (LLMs) have been widely adopted as the core of agent frameworks in various scenarios, such as social simulations and AI companions. However, the extent to whi…
Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
Zhengyu Hu, Jianxun Lian, Zheyuan Xiao +5
Large language models (LLMs) have shown impressive capabilities across tasks such as mathematics, coding, and reasoning, yet their learning ability, which is crucial for adapting t…
Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values
Jing Yao, Xiaoyuan Yi, Xiting Wang +2
The rapid advancement of Large Language Models (LLMs) has attracted much attention to value alignment for their responsible development. However, how to define values in this conte…