AI hallucinations: a misnomer worth clarifying
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" …
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
By simply composing prompts, developers can prototype novel generative applications with
Large Language Models (LLMs). To refine prototypes into products, however, developers …
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
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 …
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
Mathematical language is a cornerstone of a child's mathematical development, and
children can effectively acquire this language through storytelling with a knowledgeable and …
children can effectively acquire this language through storytelling with a knowledgeable and …
Knownet: Guided health information seeking from llms via knowledge graph integration
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 …
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
Conversational tutoring systems (CTSs) offer learning experiences through interactions
based on natural language. They are recognized for promoting cognitive engagement and …
based on natural language. They are recognized for promoting cognitive engagement and …
Ruffle&riley: Towards the automated induction of conversational tutoring systems
Conversational tutoring systems (CTSs) offer learning experiences driven by natural
language interaction. They are known to promote high levels of cognitive engagement and …
language interaction. They are known to promote high levels of cognitive engagement and …
Genquery: Supporting expressive visual search with generative models
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 …
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
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 …
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
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 …
(ML), we find that they can, in fact, impair understanding. This paper presents a pre …