Retell, Reward, Repeat: Reinforcement Learning for Narrative Theory-Informed Story Retelling

arXiv:2601.17226 · cs.CL, cs.AI · Submitted 2026-01-23 · Read on arXiv

cs.CL, cs.AI

Submitted: 2026-01-23

Updated: 2026-10-10

Comments: 9 Pages, 7 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• Atla Selene Mini: A General Purpose Evaluation Model
• CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints
• Olmo 3
• The Llama 3 Herd of Models
• Narrative Theory-Driven LLM Methods for Automatic Story Generation and Understanding: A Survey
• M-Prometheus: A Suite of Open Multilingual LLM Judges
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• LLMs Exhibit Significantly Lower Uncertainty in Creative Writing Than Professional Writers
• Qwen3 Technical Report

Related papers

• Exploring Solution Divergence and Its Effect on Large Language Model Problem Solving
• Ishigaki-IDS-Bench: A Benchmark for Generating Information Delivery Specification from BIM Information Requirements
• Subliminal Steering: Stronger Encoding of Hidden Signals
• MedStruct-S: A Benchmark for Key Discovery, Key-Conditioned QA and Semi-Structured Extraction from OCR Clinical Reports
• The End of Transformers? On Challenging Attention and the Rise of Sub-Quadratic Architectures
• Untangling the Mechanisms of Misleading Context in Medical Question Answering