most citedLarge language models predict human sensory judgments across six modalities

11 citations · 17 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL20241 cited

Characterizing Similarities and Divergences in Conversational Tones in Humans and LLMs by Sampling with People

Dun-Ming Huang, Pol Van Rijn, Ilia Sucholutsky +2

Conversational tones -- the manners and attitudes in which speakers communicate -- are essential to effective communication. Amidst the increasing popularization of Large Language…

q-bio.NC2024

A Rational Analysis of the Speech-to-Song Illusion

Raja Marjieh, Pol van Rijn, Ilia Sucholutsky +3

The speech-to-song illusion is a robust psychological phenomenon whereby a spoken sentence sounds increasingly more musical as it is repeated. Despite decades of research, a comple…

cs.AI2024

Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction

Sreejan Kumar, Raja Marjieh, Byron Zhang +5

Humans extract useful abstractions of the world from noisy sensory data. Serial reproduction allows us to study how people construe the world through a paradigm similar to the game…

cs.AI20233 cited

Improving Interpersonal Communication by Simulating Audiences with Language Models

Ryan Liu, Howard Yen, Raja Marjieh +2

How do we communicate with others to achieve our goals? We use our prior experience or advice from others, or construct a candidate utterance by predicting how it will be received.…

cs.CL20232 cited

Around the world in 60 words: A generative vocabulary test for online research

Pol van Rijn, Yue Sun, Harin Lee +5

Conducting experiments with diverse participants in their native languages can uncover insights into culture, cognition, and language that may not be revealed otherwise. However, c…

cs.CL202311 cited

Large language models predict human sensory judgments across six modalities

Raja Marjieh, Ilia Sucholutsky, Pol van Rijn +2

Determining the extent to which the perceptual world can be recovered from language is a longstanding problem in philosophy and cognitive science. We show that state-of-the-art lar…