Cover Image

Next Token Prediction Is a Dead End for Creativity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Olatunji, Ibukun, Sheppard, Mark
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language J.5; I.2.0; I.2.7
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

QuickSilver -- Speeding up LLM Inference through Dynamic Token Halting, KV Skipping, Contextual Token Fusion, and Adaptive Matryoshka Quantization
by: Khanna, Danush, et al.
Published: (2025)

BabyReasoningBench: Generating Developmentally-Inspired Reasoning Tasks for Evaluating Baby Language Models
by: Dhole, Kaustubh D.
Published: (2026)

Quo Vadis ChatGPT? From Large Language Models to Large Knowledge Models
by: Venkatasubramanian, Venkat, et al.
Published: (2024)

OpenAI Cribbed Our Tax Example, But Can GPT-4 Really Do Tax?
by: Blair-Stanek, Andrew, et al.
Published: (2023)

ChemPro: A Progressive Chemistry Benchmark for Large Language Models
by: Baranwal, Aaditya, et al.
Published: (2026)

Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey
by: Vegner, Ivan, et al.
Published: (2025)

Self-Supervised Borrowing Detection on Multilingual Wordlists
by: Wientzek, Tim
Published: (2025)

Classification of descriptions and summary using multiple passes of statistical and natural language toolkits
by: Banthia, Saumya, et al.
Published: (2020)

Holistic Audit Dataset Generation for LLM Unlearning via Knowledge Graph Traversal and Redundancy Removal
by: Jiang, Weipeng, et al.
Published: (2025)

NRR-Core: Non-Resolution Reasoning as a Computational Framework for Contextual Identity and Ambiguity Preservation
by: Saito, Kei
Published: (2025)

ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

CopySpec: Accelerating LLMs with Speculative Copy-and-Paste Without Compromising Quality
by: Dumitru, Razvan-Gabriel, et al.
Published: (2025)

RWKV-7 "Goose" with Expressive Dynamic State Evolution
by: Peng, Bo, et al.
Published: (2025)

Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory
by: Goldstein, Daniel, et al.
Published: (2026)

Chatbots put to the test in math and logic problems: A preliminary comparison and assessment of ChatGPT-3.5, ChatGPT-4, and Google Bard
by: Plevris, Vagelis, et al.
Published: (2023)

Change Is the Only Constant: Dynamic LLM Slicing based on Layer Redundancy
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

Prompt Tuned Embedding Classification for Multi-Label Industry Sector Allocation
by: Buchner, Valentin Leonhard, et al.
Published: (2023)

Benchmarking quantized LLaMa-based models on the Brazilian Secondary School Exam
by: Santos, Matheus L. O., et al.
Published: (2023)

ALISON: Fast and Effective Stylometric Authorship Obfuscation
by: Xing, Eric, et al.
Published: (2024)

NRR-Phi: Text-to-State Mapping for Ambiguity Preservation in LLM Inference
by: Saito, Kei
Published: (2026)

ACCORD: Closing the Commonsense Measurability Gap
by: Roewer-Després, François, et al.
Published: (2024)

Enhancing Transformer RNNs with Multiple Temporal Perspectives
by: Dumitru, Razvan-Gabriel, et al.
Published: (2024)

Pareto-Optimized Open-Source LLMs for Healthcare via Context Retrieval
by: Bayarri-Planas, Jordi, et al.
Published: (2024)

Syntactic Blind Spots: How Misalignment Leads to LLMs Mathematical Errors
by: Williamson, Dane, et al.
Published: (2025)

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration
by: Deng, Minghang, et al.
Published: (2025)

LLMs and the Human Condition
by: Wallis, Peter
Published: (2024)

Predictive Simultaneous Interpretation: Harnessing Large Language Models for Democratizing Real-Time Multilingual Communication
by: Iida, Kurando, et al.
Published: (2024)

Beyond Recall: Behavioral Specification as an Interpretive Layer for AI Personalization
by: Gulaya, Aarik
Published: (2026)

A Human-Machine Collaboration Framework for the Development of Schemas
by: Isaak, Nicos
Published: (2024)

Incentives or Ontology? A Structural Rebuttal to OpenAI's Hallucination Thesis
by: Ackermann, Richard, et al.
Published: (2025)

The Drill-Down and Fabricate Test (DDFT): A Protocol for Measuring Epistemic Robustness in Language Models
by: Baxi, Rahul
Published: (2025)

Perturbation Dose Responses in Recursive LLM Loops: Raw Switching, Stochastic Floors, and Persistent Escape under Append, Replace, and Dialog Updates
by: Kaplanski, Pawel
Published: (2026)

Graph Language Models
by: Plenz, Moritz, et al.
Published: (2024)

Discovering Differences in Strategic Behavior Between Humans and LLMs
by: Wang, Caroline, et al.
Published: (2026)

Adversarially Probing Cross-Family Sound Symbolism in 27 Languages
by: Sharma, Anika, et al.
Published: (2025)

Mining Large Language Models for Low-Resource Language Data: Comparing Elicitation Strategies for Hausa and Fongbe
by: Adjovi, Mahounan Pericles, et al.
Published: (2026)

When Does Data Augmentation Help? Evaluating LLM and Back-Translation Methods for Hausa and Fongbe NLP
by: Adjovi, Mahounan Pericles, et al.
Published: (2026)

AI-generated stories favour stability over change: homogeneity and cultural stereotyping in narratives generated by gpt-4o-mini
by: Rettberg, Jill Walker, et al.
Published: (2025)

Deciphering Digital Detectives: Understanding LLM Behaviors and Capabilities in Multi-Agent Mystery Games
by: Wu, Dekun, et al.
Published: (2023)