Cognitive mirage: A review of hallucinations in large language models

H Ye, T Liu, A Zhang, W Hua, W Jia - arXiv preprint arXiv:2309.06794, 2023 - arxiv.org
As large language models continue to develop in the field of AI, text generation systems are
susceptible to a worrisome phenomenon known as hallucination. In this study, we …

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

J Shi, R Jain, H Doh, R Suzuki, K Ramani - arXiv preprint arXiv …, 2023 - arxiv.org
Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic
content across different formats like images, videos, and text. In Generative AI, human …

Prompt middleware: Mapping prompts for large language models to UI affordances

S MacNeil, A Tran, J Kim, Z Huang, S Bernstein… - arXiv preprint arXiv …, 2023 - arxiv.org
To help users do complex work, researchers have developed techniques to integrate AI and
human intelligence into user interfaces (UIs). With the recent introduction of large language …

Formulating or Fixating: Effects of Examples on Problem Solving Vary as a Function of Example Presentation Interface Design

J Chan, Z Ding, E Kamrah, M Fuge - … of the CHI Conference on Human …, 2024 - dl.acm.org
Interactive systems that facilitate exposure to examples can augment problem solving
performance. However designers of such systems are often faced with many practical …

The Silicone Ceiling: Auditing GPT's Race and Gender Biases in Hiring

L Armstrong, A Liu, S MacNeil, D Metaxa - arXiv preprint arXiv:2405.04412, 2024 - arxiv.org
Large language models (LLMs) are increasingly being introduced in workplace settings,
with the goals of improving efficiency and fairness. However, concerns have arisen …

Mapping the Design Space of Interactions in Human-AI Text Co-creation Tasks

Z Ding, J Chan - arXiv preprint arXiv:2303.06430, 2023 - arxiv.org
Large Language Models (LLMs) have demonstrated impressive text generation capabilities,
prompting us to reconsider the future of human-AI co-creation and how humans interact with …

Elucidating STEM concepts through generative AI: A multi-modal exploration of analogical reasoning

C Cao, Z Ding, GG Lee, J Jiao, J Lin, X Zhai - arXiv preprint arXiv …, 2023 - arxiv.org
This study explores the integration of generative artificial intelligence (AI), specifically large
language models, with multi-modal analogical reasoning as an innovative approach to …

[HTML][HTML] Opportunities for large language models and discourse in engineering design

J Göpfert, JM Weinand, P Kuckertz, D Stolten - Energy and AI, 2024 - Elsevier
In recent years, large language models have achieved breakthroughs on a wide range of
benchmarks in natural language processing and continue to increase in performance …

Beneath surface similarity: Large language models make reasonable scientific analogies after structure abduction

S Yuan, J Chen, X Ge, Y Xiao, D Yang - arXiv preprint arXiv:2305.12660, 2023 - arxiv.org
The vital role of analogical reasoning in human cognition allows us to grasp novel concepts
by linking them with familiar ones through shared relational structures. Despite the attention …

Evolving code with a large language model

E Hemberg, S Moskal, UM O'Reilly - arXiv preprint arXiv:2401.07102, 2024 - arxiv.org
Algorithms that use Large Language Models (LLMs) to evolve code arrived on the Genetic
Programming (GP) scene very recently. We present LLM GP, a formalized LLM-based …