AI hallucinations: a misnomer worth clarifying

N Maleki, B Padmanabhan… - 2024 IEEE conference on …, 2024 - ieeexplore.ieee.org
As large language models continue to advance in Artificial Intelligence (AI), text generation
systems have been shown to suffer from a problematic phenomenon often termed as" …

Evallm: Interactive evaluation of large language model prompts on user-defined criteria

TS Kim, Y Lee, J Shin, YH Kim, J Kim - … of the CHI Conference on Human …, 2024 - dl.acm.org
By simply composing prompts, developers can prototype novel generative applications with
Large Language Models (LLMs). To refine prototypes into products, however, developers …

ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Personal Events

W Seo, C Yang, YH Kim - Proceedings of the CHI Conference on Human …, 2024 - dl.acm.org
Children typically learn to identify and express their emotions by sharing stories and feelings
with others, particularly family members. However, it is challenging for parents or siblings to …

Mathemyths: leveraging large language models to teach mathematical language through Child-AI co-creative storytelling

C Zhang, X Liu, K Ziska, S Jeon, CL Yu… - Proceedings of the CHI …, 2024 - dl.acm.org
Mathematical language is a cornerstone of a child's mathematical development, and
children can effectively acquire this language through storytelling with a knowledgeable and …

Knownet: Guided health information seeking from llms via knowledge graph integration

Y Yan, Y Hou, Y **ao, R Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The increasing reliance on Large Language Models (LLMs) for health information seeking
can pose severe risks due to the potential for misinformation and the complexity of these …

Ruffle&riley: Insights from designing and evaluating a large language model-based conversational tutoring system

R Schmucker, M **a, A Azaria, T Mitchell - International Conference on …, 2024 - Springer
Conversational tutoring systems (CTSs) offer learning experiences through interactions
based on natural language. They are recognized for promoting cognitive engagement and …

Ruffle&riley: Towards the automated induction of conversational tutoring systems

R Schmucker, M **a, A Azaria, T Mitchell - arxiv preprint arxiv:2310.01420, 2023 - arxiv.org
Conversational tutoring systems (CTSs) offer learning experiences driven by natural
language interaction. They are known to promote high levels of cognitive engagement and …

Genquery: Supporting expressive visual search with generative models

K Son, DE Choi, TS Kim, YH Kim, J Kim - Proceedings of the CHI …, 2024 - dl.acm.org
Designers rely on visual search to explore and develop ideas in early design stages.
However, designers can struggle to identify suitable text queries to initiate a search or to …

Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions

H Shen, T Knearem, R Ghosh, K Alkiek… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent advancements in general-purpose AI have highlighted the importance of guiding AI
systems towards the intended goals, ethical principles, and values of individuals and …

Interpretability Gone Bad: The Role of Bounded Rationality in How Practitioners Understand Machine Learning

H Kaur, MR Conrad, D Rule, C Lampe… - Proceedings of the ACM …, 2024 - dl.acm.org
While interpretability tools are intended to help people better understand machine learning
(ML), we find that they can, in fact, impair understanding. This paper presents a pre …