:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Qiawen Ella, Dubova, Marina, Conklin, Henry, Harada, Takumi, Griffiths, Thomas L.
Formato:	Preprint
Publicado:	2026
Materias:	Artificial Intelligence Computation and Language
Acceso en línea:	https://arxiv.org/abs/2603.19087
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

One system for learning and remembering episodes and rules
por: Hewson, Joshua T. S., et al.
Publicado: (2024)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Large Language Models Develop Novel Social Biases Through Adaptive Exploration
por: Wu, Addison J., et al.
Publicado: (2025)

How do Large Language Models Navigate Conflicts between Honesty and Helpfulness?
por: Liu, Ryan, et al.
Publicado: (2024)