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Found 7 papers, 1 papers with code
Exploring Spatial Schema Intuitions in Large Language and Vision Models
Surprisingly, correlations between model outputs and human responses emerge, revealing adaptability without a tangible connection to embodied experiences.
Probing Language Models' Gesture Understanding for Enhanced Human-AI Interaction
The rise of Large Language Models (LLMs) has affected various disciplines that got beyond mere text generation.
LoHoRavens: A Long-Horizon Language-Conditioned Benchmark for Robotic Tabletop Manipulation
The convergence of embodied agents and large language models (LLMs) has brought significant advancements to embodied instruction following.
A Crosslingual Investigation of Conceptualization in 1335 Languages
The resulting measure for the conceptual similarity of two languages is complementary to standard genealogical, typological, and surface similarity measures.
LMs stand their Ground: Investigating the Effect of Embodiment in Figurative Language Interpretation by Language Models
Figurative language is a challenge for language models since its interpretation is based on the use of words in a way that deviates from their conventional order and meaning.
Covid-19 Discourse on Twitter: How the Topics, Sentiments, Subjectivity, and Figurative Frames Changed Over Time
The words we use to talk about the current epidemiological crisis on social media can inform us on how we are conceptualizing the pandemic and how we are reacting to its development.
Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter
Therefore, we conclude, in line with previous suggestions, a plethora of framing options, or a metaphor menu, may facilitate the communication of various aspects involved in the Covid-19-related discourse on the social media, and thus support civilians in the expression of their feelings, opinions and ideas during the current pandemic.
