Cover Image

Enhancing Creativity in Large Language Models through Associative Thinking Strategies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mehrotra, Pronita, Parab, Aishni, Gulwani, Sumit
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Training Emergent Joint Associations: A Reinforcement Learning Approach to Creative Thinking in Language Models
by: Singh, Mukul, et al.
Published: (2025)

Analysis of Error Sources in LLM-based Hypothesis Search for Few-Shot Rule Induction
by: Parab, Aishni, et al.
Published: (2025)

Exploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Models
by: Wen, Chao, et al.
Published: (2025)

TEN: Table Explicitization, Neurosymbolically
by: Mehrotra, Nikita, et al.
Published: (2025)

Do Code Models Suffer from the Dunning-Kruger Effect?
by: Singh, Mukul, et al.
Published: (2025)

Large Language Models Align with the Human Brain during Creative Thinking
by: Ismayilzada, Mete, et al.
Published: (2026)

Diffusion is a code repair operator and generator
by: Singh, Mukul, et al.
Published: (2025)

MetaReflection: Learning Instructions for Language Agents using Past Reflections
by: Gupta, Priyanshu, et al.
Published: (2024)

On the Creativity of Large Language Models
by: Franceschelli, Giorgio, et al.
Published: (2023)

ConDABench: Interactive Evaluation of Language Models for Data Analysis
by: Dutta, Avik, et al.
Published: (2025)

Enhancing Data Privacy in Large Language Models through Private Association Editing
by: Venditti, Davide, et al.
Published: (2024)

Assessing and Understanding Creativity in Large Language Models
by: Zhao, Yunpu, et al.
Published: (2024)

Is Temperature the Creativity Parameter of Large Language Models?
by: Peeperkorn, Max, et al.
Published: (2024)

Divergent Creativity in Humans and Large Language Models
by: Bellemare-Pepin, Antoine, et al.
Published: (2024)

CreativityPrism: A Holistic Evaluation Framework for Large Language Model Creativity
by: Hou, Zhaoyi Joey, et al.
Published: (2025)

Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Models
by: Qiu, Ziliang, et al.
Published: (2025)

Steering Large Language Models to Evaluate and Amplify Creativity
by: Olson, Matthew Lyle, et al.
Published: (2024)

LLM Discussion: Enhancing the Creativity of Large Language Models via Discussion Framework and Role-Play
by: Lu, Li-Chun, et al.
Published: (2024)

Collaboration and Conflict between Humans and Language Models through the Lens of Game Theory
by: Singh, Mukul, et al.
Published: (2025)

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation
by: Zhong, Shanshan, et al.
Published: (2023)

MacGyver: Are Large Language Models Creative Problem Solvers?
by: Tian, Yufei, et al.
Published: (2023)

Enhancing Large Language Models through Structured Reasoning
by: Dong, Yubo, et al.
Published: (2025)

Enhancing Large Language Models for Clinical Decision Support by Incorporating Clinical Practice Guidelines
by: Oniani, David, et al.
Published: (2024)

Automated Analysis of Learning Outcomes and Exam Questions Based on Bloom's Taxonomy
by: Kumar, Ramya, et al.
Published: (2025)

What are Models Thinking about? Understanding Large Language Model Hallucinations "Psychology" through Model Inner State Analysis
by: Wang, Peiran, et al.
Published: (2025)

Evaluating Creative Short Story Generation in Humans and Large Language Models
by: Ismayilzada, Mete, et al.
Published: (2024)

Cognitive Decision Routing in Large Language Models: When to Think Fast, When to Think Slow
by: Du, Y., et al.
Published: (2025)

Missed Connections: Lateral Thinking Puzzles for Large Language Models
by: Todd, Graham, et al.
Published: (2024)

The Cost of Thinking: Increased Jailbreak Risk in Large Language Models
by: Yang, Fan
Published: (2025)

Multi-Persona Thinking for Bias Mitigation in Large Language Models
by: Chen, Yuxing, et al.
Published: (2026)

THiNK: Can Large Language Models Think-aloud?
by: Yu, Yongan, et al.
Published: (2025)

Think$^{2}$: Grounded Metacognitive Reasoning in Large Language Models
by: Elenjical, Abraham Paul, et al.
Published: (2026)

An Empirical Study of Validating Synthetic Data for Formula Generation
by: Singh, Usneek, et al.
Published: (2024)

Automated Creativity Evaluation for Large Language Models: A Reference-Based Approach
by: Li, Ruizhe, et al.
Published: (2025)

Cooking Up Creativity: Enhancing LLM Creativity through Structured Recombination
by: Mizrahi, Moran, et al.
Published: (2025)

Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding
by: Zhao, Zheng, et al.
Published: (2024)

CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning
by: Pan, Jianfeng, et al.
Published: (2025)

Think in Sentences: Explicit Sentence Boundaries Enhance Language Model's Capabilities
by: Liu, Zhichen, et al.
Published: (2026)

Fast-Slow-Thinking: Complex Task Solving with Large Language Models
by: Sun, Yiliu, et al.
Published: (2025)

Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning
by: Cheng, Xiaoxue, et al.
Published: (2025)