Cover Image

Serendipity by Design: Evaluating the Impact of Cross-domain Mappings on Human and LLM Creativity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Qiawen Ella, Dubova, Marina, Conklin, Henry, Harada, Takumi, Griffiths, Thomas L.
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Parallelograms Strike Back: LLMs Generate Better Analogies than People
by: Liu, Qiawen Ella, et al.
Published: (2026)

Information Structure in Mappings: An Approach to Learning, Representation, and Generalisation
by: Conklin, Henry
Published: (2025)

Representations as Language: An Information-Theoretic Framework for Interpretability
by: Conklin, Henry, et al.
Published: (2024)

ReMIND: Orchestrating Modular Large Language Models for Controllable Serendipity A REM-Inspired System Design for Emergent Creative Ideation
by: Sato, Makoto
Published: (2026)

Learning is Forgetting: LLM Training As Lossy Compression
by: Conklin, Henry C., et al.
Published: (2026)

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

Writing in Symbiosis: Mapping Human Creative Agency in the AI Era
by: Doshi, Vivan, et al.
Published: (2025)

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

Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing
by: Wang, Mengying, et al.
Published: (2025)

Can AI Be as Creative as Humans?
by: Wang, Haonan, et al.
Published: (2024)

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations
by: Soulos, Paul, et al.
Published: (2024)

Aligning Large Language Model Behavior with Human Citation Preferences
by: Ando, Kenichiro, et al.
Published: (2026)

Incoherent Probability Judgments in Large Language Models
by: Zhu, Jian-Qiao, et al.
Published: (2024)

Using Reinforcement Learning to Train Large Language Models to Explain Human Decisions
by: Zhu, Jian-Qiao, et al.
Published: (2025)

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

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

Language Models Trained to do Arithmetic Predict Human Risky and Intertemporal Choice
by: Zhu, Jian-Qiao, et al.
Published: (2024)

Bridging Linguistic Gaps: Cross-Lingual Mapping in Pre-Training and Dataset for Enhanced Multilingual LLM Performance
by: Zheng, Weihua, et al.
Published: (2026)

Rethinking Human Preference Evaluation of LLM Rationales
by: Li, Ziang, et al.
Published: (2025)

Deciphering the Factors Influencing the Efficacy of Chain-of-Thought: Probability, Memorization, and Noisy Reasoning
by: Prabhakar, Akshara, et al.
Published: (2024)

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

Sparking Scientific Creativity via LLM-Driven Interdisciplinary Inspiration
by: Kargupta, Priyanka, et al.
Published: (2026)

Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers
by: Nam, Andrew, et al.
Published: (2025)

CreativityBench: Evaluating Agent Creative Reasoning via Affordance-Based Tool Repurposing
by: Qian, Cheng, et al.
Published: (2026)

Recovering Event Probabilities from Large Language Model Embeddings via Axiomatic Constraints
by: Zhu, Jian-Qiao, et al.
Published: (2025)

Steering Risk Preferences in Large Language Models by Aligning Behavioral and Neural Representations
by: Zhu, Jian-Qiao, et al.
Published: (2025)

Recovering Mental Representations from Large Language Models with Markov Chain Monte Carlo
by: Zhu, Jian-Qiao, et al.
Published: (2024)

Evaluating Human Alignment and Model Faithfulness of LLM Rationale
by: Fayyaz, Mohsen, et al.
Published: (2024)

The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches
by: Abeysinghe, Bhashithe, et al.
Published: (2024)

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

Do LLMs Agree on the Creativity Evaluation of Alternative Uses?
by: Rabeyah, Abdullah Al, et al.
Published: (2024)

Cognitive Models and AI Algorithms Provide Templates for Designing Language Agents
by: Liu, Ryan, et al.
Published: (2026)

Cross-domain Chinese Sentence Pattern Parsing
by: Yu, Jingsi, et al.
Published: (2024)

How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting
by: Gupta, Aman, et al.
Published: (2025)

LLM-C3MOD: A Human-LLM Collaborative System for Cross-Cultural Hate Speech Moderation
by: Park, Junyeong, et al.
Published: (2025)

What is a Number, That a Large Language Model May Know It?
by: Marjieh, Raja, et al.
Published: (2025)

CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections
by: Kim, Keuntae, et al.
Published: (2025)

What Shapes a Creative Machine Mind? Comprehensively Benchmarking Creativity in Foundation Models
by: He, Zicong, et al.
Published: (2025)

Theory-Grounded Evaluation of Human-Like Fallacy Patterns in LLM Reasoning
by: Richardson, Andrew Keenan, et al.
Published: (2025)

Evaluating Language Models' Evaluations of Games
by: Collins, Katherine M., et al.
Published: (2025)