Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation
Abstract Chain-of-Thought (CoT) guides large language models (LLMs) to reason step-by-
step and can motivate their logical reasoning ability. While effective for logical tasks CoT is …
step and can motivate their logical reasoning ability. While effective for logical tasks CoT is …
Thought propagation: An analogical approach to complex reasoning with large language models
Large Language Models (LLMs) have achieved remarkable success in reasoning tasks with
the development of prompting methods. However, existing prompting approaches cannot …
the development of prompting methods. However, existing prompting approaches cannot …
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
We introduce Buffer of Thoughts (BoT), a novel and versatile thought-augmented reasoning
approach for enhancing accuracy, efficiency and robustness of large language models …
approach for enhancing accuracy, efficiency and robustness of large language models …
Exploring the Potential of Large Language Models in Artistic Creation: Collaboration and Reflection on Creative Programming
Recently, the potential of large language models (LLMs) has been widely used in assisting
programming. However, current research does not explore the artist potential of LLMs in …
programming. However, current research does not explore the artist potential of LLMs in …
AnaDE1. 0: A Novel Data Set for Benchmarking Analogy Detection and Extraction
Textual analogies that make comparisons between two concepts are often used for
explaining complex ideas, creative writing, and scientific discovery. In this paper, we …
explaining complex ideas, creative writing, and scientific discovery. In this paper, we …
The influence of subjective knowledge, technophobia and perceived enjoyment on design students' intention to use artificial intelligence design tools
Y Wang, Y Zhao, X Tian, J Yang, S Luo - International Journal of …, 2024 - Springer
This study aims to examine design students' intention towards using Artificial Intelligence-
aided Design Tools (AIDTs). An extended model is developed by combining the affective …
aided Design Tools (AIDTs). An extended model is developed by combining the affective …
StoryAnalogy: Deriving Story-level Analogies from Large Language Models to Unlock Analogical Understanding
Analogy-making between narratives is one of the most critical abilities in natural language
understanding. In this paper, we evaluate the ability to identify and generate analogy by …
understanding. In this paper, we evaluate the ability to identify and generate analogy by …
Let's think outside the box: Exploring leap-of-thought in large language models with multimodal humor generation
Abstract Chain-of-Thought (CoT)[2, 3] guides large language models (LLMs) to reason step-
by-step, and can motivate their logical reasoning ability. While effective for logical tasks, CoT …
by-step, and can motivate their logical reasoning ability. While effective for logical tasks, CoT …
RelBERT: Embedding Relations with Language Models
Many applications need access to background knowledge about how different concepts and
entities are related. Although Knowledge Graphs (KG) and Large Language Models (LLM) …
entities are related. Although Knowledge Graphs (KG) and Large Language Models (LLM) …
A Map of Exploring Human Interaction Patterns with LLM: Insights into Collaboration and Creativity
J Li, J Li, Y Su - International Conference on Human-Computer …, 2024 - Springer
The outstanding performance capabilities of large language model have driven the
evolution of current AI system interaction patterns. This has led to considerable discussion …
evolution of current AI system interaction patterns. This has led to considerable discussion …