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Sound symbolism is a linguistic concept that refers to non-arbitrary associations between phonetic forms and their meanings. We suggest that this can be a compelling probe into how Multimodal Large Language Models (MLLMs) interpret auditory…

Computation and Language · Computer Science 2026-03-20 Jinhong Jeong , Sunghyun Lee , Jaeyoung Lee , Seonah Han , Youngjae Yu

Large language models (LLMs) are trained on vast amounts of data to generate natural language, enabling them to perform tasks like text summarization and question answering. These models have become popular in artificial intelligence (AI)…

Large Language Models (LLMs) are known for their remarkable ability to generate synthesized 'knowledge', such as text documents, music, images, etc. However, there is a huge gap between LLM's and human capabilities for understanding…

Computation and Language · Computer Science 2024-08-14 Vladimir Cherkassky , Eng Hock Lee

Large language models generate judgments that resemble those of humans. Yet the extent to which these models align with human judgments in interpreting figurative and socially grounded language remains uncertain. To investigate this, human…

Computation and Language · Computer Science 2026-01-15 Samhita Bollepally , Aurora Sloman-Moll , Takashi Yamauchi

Large Language Models (LLMs) are capable of generating text that is similar to or surpasses human quality. However, it is unclear whether LLMs tend to exhibit distinctive linguistic styles akin to how human authors do. Through a…

Computation and Language · Computer Science 2025-09-03 Ariel Rosenfeld , Teddy Lazebnik

Citation practices are crucial in shaping the structure of scientific knowledge, yet they are often influenced by contemporary norms and biases. The emergence of Large Language Models (LLMs) introduces a new dynamic to these practices.…

Digital Libraries · Computer Science 2024-08-27 Andres Algaba , Carmen Mazijn , Vincent Holst , Floriano Tori , Sylvia Wenmackers , Vincent Ginis

Recently, Large Language Models (LLMs) and Vision Language Models (VLMs) have demonstrated aptitude as potential substitutes for human participants in experiments testing psycholinguistic phenomena. However, an understudied question is to…

Computation and Language · Computer Science 2024-10-21 Tyler Loakman , Yucheng Li , Chenghua Lin

To what extent can language alone give rise to complex concepts, or is embodied experience essential? Recent advancements in large language models (LLMs) offer fresh perspectives on this question. Although LLMs are trained on restricted…

Computation and Language · Computer Science 2023-12-04 Qihui Xu , Yingying Peng , Samuel A. Nastase , Martin Chodorow , Minghua Wu , Ping Li

Large Language Models (LLMs) have recently emerged as powerful tools for natural language generation, with applications spanning from content creation to social simulations. Their ability to mimic human interactions raises both…

Computation and Language · Computer Science 2025-06-30 Daniele Cirulli , Giulio Cimini , Giovanni Palermo

Causal reasoning is a core component of intelligence. Large language models (LLMs) have shown impressive capabilities in generating human-like text, raising questions about whether their responses reflect true understanding or statistical…

Artificial Intelligence · Computer Science 2025-06-09 Hanna M. Dettki , Brenden M. Lake , Charley M. Wu , Bob Rehder

The widespread success of large language models (LLMs) has been met with skepticism that they possess anything like human concepts or meanings. Contrary to claims that LLMs possess no meaning whatsoever, we argue that they likely capture…

Computation and Language · Computer Science 2022-08-15 Steven T. Piantadosi , Felix Hill

Large language models (LLMs), such as GPT-3 and GPT-4, have demonstrated exceptional performance in various natural language processing tasks and have shown the ability to solve certain reasoning problems. However, their reasoning…

Artificial Intelligence · Computer Science 2023-07-18 Adam Ishay , Zhun Yang , Joohyung Lee

Large Language Models (LLMs) such as ChatGPT demonstrated the potential to replicate human language abilities through technology, ranging from text generation to engaging in conversations. However, it remains controversial to what extent…

Computation and Language · Computer Science 2025-07-09 Martin Schuele

Can a machine understand the meanings of natural language? Recent developments in the generative large language models (LLMs) of artificial intelligence have led to the belief that traditional philosophical assumptions about machine…

Computation and Language · Computer Science 2023-10-27 Vladimír Havlík

Large Language Models (LLMs) have demonstrated remarkable performance across diverse natural language processing tasks, yet their ability to memorize structured knowledge remains underexplored. In this paper, we investigate the extent to…

Computation and Language · Computer Science 2025-04-02 Marco Bombieri , Paolo Fiorini , Simone Paolo Ponzetto , Marco Rospocher

Recent advancements in natural language processing by large language models (LLMs), such as GPT-4, have been suggested to approach Artificial General Intelligence. And yet, it is still under dispute whether LLMs possess similar reasoning…

Computation and Language · Computer Science 2024-02-02 Eugenio Herrera-Berg , Tomás Vergara Browne , Pablo León-Villagrá , Marc-Lluís Vives , Cristian Buc Calderon

Large language models (LLMs) are currently at the forefront of intertwining AI systems with human communication and everyday life. Therefore, it is of great importance to evaluate their emerging abilities. In this study, we show that LLMs,…

Computation and Language · Computer Science 2023-10-10 Thilo Hagendorff , Sarah Fabi

The rise of large language models (LLMs) is revolutionizing information retrieval, question answering, summarization, and code generation tasks. However, in addition to confidently presenting factually inaccurate information at times (known…

Artificial Intelligence · Computer Science 2023-04-26 Henry Gilbert , Michael Sandborn , Douglas C. Schmidt , Jesse Spencer-Smith , Jules White

Large Language Models (LLMs) are huge artificial neural networks which primarily serve to generate text, but also provide a very sophisticated probabilistic model of language use. Since generating a semantically consistent text requires a…

Computation and Language · Computer Science 2024-04-09 Romuald A. Janik

Recent advances in the performance of large language models (LLMs) have sparked debate over whether, given sufficient training, high-level human abilities emerge in such generic forms of artificial intelligence (AI). Despite the exceptional…

Computation and Language · Computer Science 2024-01-18 Nicholas Ichien , Dušan Stamenković , Keith J. Holyoak
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