The Effects of Incremental Instruction Delivery on Language-Model Creative Writing

arXiv:2609.33738 · cs.CL · Submitted 2026-09-27 · Read on arXiv

cs.CL

Submitted: 2026-09-27

Updated: 2026-09-27

Code: https://github.com/solusops/SISTER-2026-Team19

Terminology

• Benchmark — 33× in this paper · explained in 2 episodes
• Robustness — 9× in this paper · explained in 5 episodes
• Aggregation — 6× in this paper · explained in 1 episode
• Consistency — 5× in this paper · explained in 3 episodes
• Alignment — 4× in this paper · explained in 1 episode
• Provenance — 3× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Incremental Creative Integrity Retention — 1× in this paper
• Model-wise Creative Integrity — 1× in this paper
• Quantization — 1× in this paper · explained in 12 episodes

Sources

• CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints
• SEQUOR: A Multi-Turn Benchmark for Realistic Constraint Following
• Wordcraft: a Human-AI Collaborative Editor for Story Writing
• Multi-IF: Benchmarking LLMs on Multi-Turn and Multilingual Instructions Following
• CreativityPrism: A Cross-Domain Evaluation Framework for Large Language Model Creativity
• One Battle After Another: Probing LLMs' Limits on Multi-Turn Instruction Following with a Benchmark Evolving Framework
• Co-Writing Screenplays and Theatre Scripts with Language Models: An Evaluation by Industry Professionals

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