Cover Image

Art or Artifice? Large Language Models and the False Promise of Creativity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chakrabarty, Tuhin, Laban, Philippe, Agarwal, Divyansh, Muresan, Smaranda, Wu, Chien-Sheng
Format:	Preprint
Published:	2023
Subjects:	Computation and Language Artificial Intelligence Human-Computer Interaction
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
by: Chakrabarty, Tuhin, et al.
Published: (2023)

Death of the Novel(ty): Beyond n-Gram Novelty as a Metric for Textual Creativity
by: Saakyan, Arkadiy, et al.
Published: (2025)

Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits
by: Chakrabarty, Tuhin, et al.
Published: (2024)

Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses
by: Venkit, Pranav Narayanan, et al.
Published: (2024)

Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High-Quality Books
by: Chakrabarty, Tuhin, et al.
Published: (2026)

Designing and Evaluating Chain-of-Hints for Scientific Question Answering
by: Jangra, Anubhav, et al.
Published: (2025)

AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computation
by: Chakrabarty, Tuhin, et al.
Published: (2025)

Do We Talk to Robots Like Therapists, and Do They Respond Accordingly? Language Alignment in AI Emotional Support
by: Chiang, Sophie, et al.
Published: (2025)

Assessing the Creativity of Large Language Models: Testing, Limits, and New Frontiers
by: Schapiro, Samuel, et al.
Published: (2026)

Navigating the Landscape of Hint Generation Research: From the Past to the Future
by: Jangra, Anubhav, et al.
Published: (2024)

Has the Creativity of Large-Language Models peaked? An analysis of inter- and intra-LLM variability
by: Haase, Jennifer, et al.
Published: (2025)

Understanding Figurative Meaning through Explainable Visual Entailment
by: Saakyan, Arkadiy, et al.
Published: (2024)

Conversational AI Powered by Large Language Models Amplifies False Memories in Witness Interviews
by: Chan, Samantha, et al.
Published: (2024)

The Art of Saying No: Contextual Noncompliance in Language Models
by: Brahman, Faeze, et al.
Published: (2024)

Characterising the Creative Process in Humans and Large Language Models
by: Nath, Surabhi S., et al.
Published: (2024)

Small but Significant: On the Promise of Small Language Models for Accessible AIED
by: Wei, Yumou, et al.
Published: (2025)

Creativity in LLM-based Multi-Agent Systems: A Survey
by: Lin, Yi-Cheng, et al.
Published: (2025)

Epistemic Integrity in Large Language Models
by: Ghafouri, Bijean, et al.
Published: (2024)

People will agree what I think: Investigating LLM's False Consensus Effect
by: Choi, Junhyuk, et al.
Published: (2024)

An Evaluation of Estimative Uncertainty in Large Language Models
by: Tang, Zhisheng, et al.
Published: (2024)

Evaluating the Prompt Steerability of Large Language Models
by: Miehling, Erik, et al.
Published: (2024)

Autonomous Prompt Engineering in Large Language Models
by: Kepel, Daan, et al.
Published: (2024)

LalaEval: A Holistic Human Evaluation Framework for Domain-Specific Large Language Models
by: Sun, Chongyan, et al.
Published: (2024)

Inertia in Moral and Value Judgments of Large Language Models
by: Lee, Bruce W., et al.
Published: (2024)

Large Language Model Use Impact Locus of Control
by: Fu, Jenny Xiyu, et al.
Published: (2025)

Large Language Models and Games: A Survey and Roadmap
by: Gallotta, Roberto, et al.
Published: (2024)

(Ir)rationality and Cognitive Biases in Large Language Models
by: Macmillan-Scott, Olivia, et al.
Published: (2024)

Empowering Private Tutoring by Chaining Large Language Models
by: Chen, Yulin, et al.
Published: (2023)

Evaluating Large Language Models in Analysing Classroom Dialogue
by: Long, Yun, et al.
Published: (2024)

Multi-agent KTO: Reinforcing Strategic Interactions of Large Language Model in Language Game
by: Ye, Rong, et al.
Published: (2025)

RNR: Teaching Large Language Models to Follow Roles and Rules
by: Wang, Kuan, et al.
Published: (2024)

Large Language Models for Automatic Milestone Detection in Group Discussions
by: Duan, Zhuoxu, et al.
Published: (2024)

Large Language Model-Brained GUI Agents: A Survey
by: Zhang, Chaoyun, et al.
Published: (2024)

Understanding the Dataset Practitioners Behind Large Language Model Development
by: Qian, Crystal, et al.
Published: (2024)

A Survey of Large Language Model Agents for Question Answering
by: Yue, Murong
Published: (2025)

Captioning Visualizations with Large Language Models (CVLLM): A Tutorial
by: Carenini, Giuseppe, et al.
Published: (2024)

Evalet: Evaluating Large Language Models through Functional Fragmentation
by: Kim, Tae Soo, et al.
Published: (2025)

Attribution Gradients: Incrementally Unfolding Citations for Critical Examination of Attributed AI Answers
by: Kambhamettu, Hita, et al.
Published: (2025)

When ChatGPT is gone: Creativity reverts and homogeneity persists
by: Liu, Qinghan, et al.
Published: (2024)

Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game
by: Samadarshi, Prisha, et al.
Published: (2024)