Papers with Code 아카이브
Story Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Story generation is the task of automatically generating a coherent narrative, often from a set of premises or a brief summary.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tareknaous/camel
공식 코드Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
https://github.com/tencentarc/seed-story
공식 코드SEED-Story: Multimodal Long Story Generation with Large Language Model
https://github.com/tenghaohuang/affgen
공식 코드https://github.com/thu-coai/CommonsenseStoryGen
공식 코드A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation
https://github.com/thu-coai/HINT
공식 코드Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence
https://github.com/thu-coai/OpenMEVA
공식 코드OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics
https://github.com/thu-coai/UNION
공식 코드UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation
https://github.com/thu-coai/conper
공식 코드Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation
https://github.com/thu-keg/storywriter
공식 코드StoryWriter: A Multi-Agent Framework for Long Story Generation
https://github.com/tkim-snu/GLACNet
공식 코드GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation
https://github.com/tonywenuon/dialog-coherence-metric
공식 코드A Cross-Attention Augmented Model for Event-Triggered Context-Aware Story Generation
https://github.com/ubc-nlp/arastories
공식 코드Arabic Automatic Story Generation with Large Language Models
https://github.com/ubc-vision/make-a-story
공식 코드Make-A-Story: Visual Memory Conditioned Consistent Story Generation
https://github.com/vegb/inlg
공식 코드Visualize Before You Write: Imagination-Guided Open-Ended Text Generation
https://github.com/victorup/SoCP
공식 코드Controllable Multi-Character Psychology-Oriented Story Generation
https://github.com/victorup/chae
공식 코드CHAE: Fine-Grained Controllable Story Generation with Characters, Actions and Emotions
https://github.com/virobo-15/mgcc
공식 코드https://github.com/wangpf3/imagine-and-verbalize
공식 코드Contextualized Scene Imagination for Generative Commonsense Reasoning
https://github.com/xiangyu-peng/cast_public
공식 코드Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
https://github.com/xunannancy/lookbackdecoding
공식 코드https://github.com/xxbidiao/plug-and-blend
공식 코드Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes
https://github.com/yafuly/deepfaketextdetect
공식 코드https://github.com/yafuly/mage
공식 코드https://github.com/yale-nlp/bay-calibration-llm-evaluators
공식 코드Bayesian Calibration of Win Rate Estimation with LLM Evaluators
https://github.com/yipingnus/scratchplot-story-generation
공식 코드https://github.com/yxuansu/magic
공식 코드Language Models Can See: Plugging Visual Controls in Text Generation
https://github.com/zhuohanx/deltascore
공식 코드DeltaScore: Fine-Grained Story Evaluation with Perturbations
https://github.com/zide05/mtg
공식 코드https://github.com/zwhong714/adaptive_decoding
공식 코드https://github.com/zychen423/KE-VIST
공식 코드https://github.com/zyxElsa/IP-Prompter
공식 코드IP-Prompter: Training-Free Theme-Specific Image Generation via Dynamic Visual Prompting
https://github.com/20000607-lxc/TransformerCVAE-master
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
https://github.com/Advancing-Machine-Human-Reasoning-Lab/apt
https://github.com/AnirudhMukherjee/story-generation
https://github.com/HomebrewNLP/HomebrewNLP-Jax/blob/main/inference.py
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.