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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 (LLMs) have made significant progress in NLP. However, their ability to memorize, represent, and leverage commonsense knowledge has been a well-known pain point. In this paper, we specifically focus on ChatGPT, a…

Computation and Language · Computer Science 2024-04-22 Ning Bian , Xianpei Han , Le Sun , Hongyu Lin , Yaojie Lu , Ben He , Shanshan Jiang , Bin Dong

Large Language Models (LLMs), such as ChatGPT, exhibit advanced capabilities in generating text, images, and videos. However, their effective use remains constrained by challenges in prompt formulation, personalization, and opaque…

Human-Computer Interaction · Computer Science 2025-03-04 Si Thu , A. Baki Kocaballi

As Large Language Models (LLMs) are increasingly deployed in customer-facing applications, a critical yet underexplored question is how users communicate differently with LLM chatbots compared to human agent. In this study, we present…

Computation and Language · Computer Science 2025-10-06 Fulei Zhang , Zhou Yu

Efforts have been made to make machines converse like humans in the past few decades. The recent techniques of Large Language Models (LLMs) make it possible to have human-like conversations with machines, but LLM's flaws of lacking…

Logic in Computer Science · Computer Science 2025-02-14 Yankai Zeng

While a large body of literature suggests that large language models (LLMs) acquire rich linguistic representations, little is known about whether they adapt to linguistic biases in a human-like way. The present study probes this question…

Computation and Language · Computer Science 2023-05-29 Suet-Ying Lam , Qingcheng Zeng , Kexun Zhang , Chenyu You , Rob Voigt

Cognitive biases often shape human decisions. While large language models (LLMs) have been shown to reproduce well-known biases, a more critical question is whether LLMs can predict biases at the individual level and emulate the dynamics of…

Artificial Intelligence · Computer Science 2026-02-27 Stephen Pilli , Vivek Nallur

Large language models (LLMs) are now being used in a wide variety of contexts, including as creativity support tools (CSTs) intended to help their users come up with new ideas. But do LLMs actually support user creativity? We hypothesized…

Human-Computer Interaction · Computer Science 2024-05-14 Barrett R. Anderson , Jash Hemant Shah , Max Kreminski

The progress of Large Language Models (LLMs) like ChatGPT raises the question of how they can be integrated into education. One hope is that they can support mathematics learning, including word-problem solving. Since LLMs can handle…

Computation and Language · Computer Science 2025-08-12 Anselm R. Strohmaier , Wim Van Dooren , Kathrin Seßler , Brian Greer , Lieven Verschaffel

Large Language Models (LLMs) have demonstrated surprising performance on many tasks, including writing supportive messages that display empathy. Here, we had these models generate empathic messages in response to posts describing common…

Computation and Language · Computer Science 2024-03-28 Yoon Kyung Lee , Jina Suh , Hongli Zhan , Junyi Jessy Li , Desmond C. Ong

Lab results are often confusing and hard to understand. Large language models (LLMs) such as ChatGPT have opened a promising avenue for patients to get their questions answered. We aim to assess the feasibility of using LLMs to generate…

Computation and Language · Computer Science 2024-04-23 Zhe He , Balu Bhasuran , Qiao Jin , Shubo Tian , Karim Hanna , Cindy Shavor , Lisbeth Garcia Arguello , Patrick Murray , Zhiyong Lu

Gestures perform a variety of communicative functions that powerfully influence human face-to-face interaction. How this communicative function is achieved varies greatly between individuals and depends on the role of the speaker and the…

Human-Computer Interaction · Computer Science 2023-10-24 Laura B. Hensel , Nutchanon Yongsatianchot , Parisa Torshizi , Elena Minucci , Stacy Marsella

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

Large Language Models (LLMs) have recently showcased their remarkable capacities, not only in natural language processing tasks but also across diverse domains such as clinical medicine, legal consultation, and education. LLMs become more…

Computation and Language · Computer Science 2024-01-23 Jen-tse Huang , Wenxuan Wang , Eric John Li , Man Ho Lam , Shujie Ren , Youliang Yuan , Wenxiang Jiao , Zhaopeng Tu , Michael R. Lyu

Language models have steadily increased in size over the past few years. They achieve a high level of performance on various natural language processing (NLP) tasks such as question answering and summarization. Large language models (LLMs)…

Computation and Language · Computer Science 2023-01-31 Jessica Huynh , Cathy Jiao , Prakhar Gupta , Shikib Mehri , Payal Bajaj , Vishrav Chaudhary , Maxine Eskenazi

Large language models (LLMs) have demonstrated potential applications in medicine, yet data privacy and computational burden limit their deployment in healthcare institutions. Open-source and lightweight versions of LLMs emerge as potential…

Machine Learning · Computer Science 2024-07-24 Qiuhong Wei , Ying Cui , Mengwei Ding , Yanqin Wang , Lingling Xiang , Zhengxiong Yao , Ceran Chen , Ying Long , Zhezhen Jin , Ximing Xu

As LLMs become increasingly integrated into daily life, understanding how their presence will shape human linguistic behavior is an open question. We present a large-scale study of linguistic convergence in human-LLM dialogue, examining how…

Computation and Language · Computer Science 2026-05-29 Terra Blevins

This work explores the capability of conversational chatbots powered by large language models (LLMs), to understand and characterize predicate symmetry, a cognitive linguistic function traditionally believed to be an inherent human trait.…

Computation and Language · Computer Science 2024-07-09 Daniela N. Rim , Heeyoul Choi

Large language models (LLMs) such as ChatGPT can produce coherent, cohesive, relevant, and fluent answers for various natural language processing (NLP) tasks. Taking document-level machine translation (MT) as a testbed, this paper provides…

Computation and Language · Computer Science 2023-10-25 Longyue Wang , Chenyang Lyu , Tianbo Ji , Zhirui Zhang , Dian Yu , Shuming Shi , Zhaopeng Tu

Large Language Models (LLMs), such as ChatGPT, are widely used to generate content for various purposes and audiences. However, these models may not reflect the cultural and emotional diversity of their users, especially for low-resource…

Computation and Language · Computer Science 2024-07-01 Ibrahim Said Ahmad , Shiran Dudy , Resmi Ramachandranpillai , Kenneth Church