https://github.com/hvision-nku/storydiffusion
공식 코드StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Story generation is the task of automatically generating a coherent narrative, often from a set of premises or a brief summary.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation
Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation
Event Representations for Automated Story Generation with Deep Neural Nets
Controllable Neural Story Plot Generation via Reward Shaping
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation
Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning
SS-GEN: A Social Story Generation Framework with Large Language Models
Leveraging Natural Supervision for Language Representation Learning and Generation
TVStoryGen: A Dataset for Generating Stories with Character Descriptions
Human-AI Collaborative Taxonomy Construction: A Case Study in Profession-Specific Writing Assistants
Evaluating Creative Short Story Generation in Humans and Large Language Models
Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming
Counterfactual reasoning: an analysis of in-context emergence
Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models
Whose story is it? Personalizing story generation by inferring author styles
An FNet based Auto Encoder for Long Sequence News Story Generation
Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement
Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks
DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts
CollabStory: Multi-LLM Collaborative Story Generation and Authorship Analysis
Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation
Extrinsic Evaluation of Cultural Competence in Large Language Models
EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention
NGEP: A Graph-based Event Planning Framework for Story Generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.