Weaver: Foundation models for creative writing

Tiannan Wang

2024Computer science - computation and language, computer science - artificial intelligence, computer science - machine learning

Abstract

This work introduces Weaver, our first family of large language models (LLMs) dedicated to content creation. Weaver is pre-trained on a carefully selected corpus that focuses on improving the writing capabilities of large language models. We then fine-tune Weaver for creative and professional writing purposes and align it to the preference of professional writers using a suit of novel methods for instruction data synthesis and LLM alignment, making it able to produce more human-like texts and fo

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Proprietary Models › OpenAI ChatGPTModel Scale › Large (>32B)Model Scale › Medium (8-24)Model Scale › Small (<3B)Research Focus › Agent-Based ApproachesResearch Focus › Creativity-Oriented TrainingResearch Focus › Architectural ResearchTextual Domain › Literary TextsRelationship to Creativity › ImplicitHuman-In-The-Loop › Human–AI Co-CreationProprietary Models › Google GeminiProprietary Models › Anthropic ClaudeCreativity Frameworks › Linguistic CreativityCreativity Evaluation Methods › LLM-Based EvaluationCreativity Evaluation Methods › Human EvaluationCreativity Evaluation Methods › Creativity-Specific EvaluationLevel of Analysis › Document-LevelResearch Focus › Fine-tuning

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("LLMs" OR large language models) AND creative BY TITLE - ("LLMs" OR large language models) AND creative

Paper ID: c7a03b76-bc6b-4ab1-ae2e-7cd9e7c8709bAdded: 10/26/2025