3 citations · 8 across the 8 of their papers we have counts for
10 papers
Why is AI-generated language so hard to understand?
Thomas Hikaru Clark, Matias B. Martin, Kyle Mahowald
There is a widespread sense that AI-generated text has recently become harder to understand. In this study, we investigate a set of psycholinguistic features that are known to corr…
We Hebben Een Serieus Translatie: Modeling Intercomprehension as Probabilistic Inference
Thomas Hikaru Clark, Edward Gibson, Roger Levy
Intercomprehension refers to partial intelligibility of an unfamiliar language (L2) by a speaker of a related language (L1). How is this zero-shot cross-language comprehension poss…
Readers make targeted regressions to plausible errors in reanalysis of "noisy-channel garden-path" sentences
Thomas Hikaru Clark, Roger Levy, Edward Gibson
A key question in psycholinguistics is how inferences about the meaning of linguistic input unfold incrementally a comprehender's mind. In this work, we study reading dynamics for…
Greedy or not, here I come: Language production under vocabulary constraints in humans and resource-rational models
Thomas Hikaru Clark, Sihan Chen, Laura Nicolae
Communicating using only a limited vocabulary is a common but challenging cognitive phenomenon, requiring an ideal communicator to plan carefully to optimize for intelligibility wh…
To Words and Beyond: Probing Large Language Models for Sentence-Level Psycholinguistic Norms of Memorability and Reading Times
Thomas Hikaru Clark, Carlos Arriaga, Javier Conde +2
Large Language Models (LLMs) have recently been shown to produce estimates of psycholinguistic norms, such as valence, arousal, or concreteness, for words and multiword expressions…
Adding LLMs to the psycholinguistic norming toolbox: A practical guide to getting the most out of human ratings
Javier Conde, María Grandury, Tairan Fu +7
Word-level psycholinguistic norms lend empirical support to theories of language processing. However, obtaining such human-based measures is not always feasible or straightforward.…
Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models
Anna A. Ivanova, Aalok Sathe, Benjamin Lipkin +17
The ability to build and reason about models of the world is essential for situated language understanding. But evaluating world modeling capabilities in modern AI systems -- espec…
A Cross-Linguistic Pressure for Uniform Information Density in Word Order
Thomas Hikaru Clark, Clara Meister, Tiago Pimentel +4
While natural languages differ widely in both canonical word order and word order flexibility, their word orders still follow shared cross-linguistic statistical patterns, often at…
Analyzing Wrap-Up Effects through an Information-Theoretic Lens
Clara Meister, Tiago Pimentel, Thomas Hikaru Clark +2
Numerous analyses of reading time (RT) data have been implemented -- all in an effort to better understand the cognitive processes driving reading comprehension. However, data meas…
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark +2
Infusing factual knowledge into pre-trained models is fundamental for many knowledge-intensive tasks. In this paper, we proposed Mixture-of-Partitions (MoP), an infusion approach t…