https://github.com/ubc-nlp/arastories
공식 코드Arabic Automatic Story Generation with Large Language Models
Papers with Code 아카이브
Story Generation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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/ubc-vision/make-a-story
공식 코드Make-A-Story: Visual Memory Conditioned Consistent Story Generation
https://github.com/usydnlp/rovist
공식 코드https://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/videocrafter/animate-a-story
공식 코드Animate-A-Story: Storytelling with Retrieval-Augmented Video Generation
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/04RR/SOTA-Vision
https://github.com/1wy/bert
https://github.com/20000607-lxc/TransformerCVAE-master
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
https://github.com/2023-MindSpore-1/ms-code-14/tree/main/Transformer
https://github.com/2023-MindSpore-4/Code8/tree/main/AttentionCluster
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/audio_spectrogram_transformer
https://github.com/2miatran/Natural-Language-Processing
https://github.com/A-Jacobson/minimal-nmt
Effective Approaches to Attention-based Neural Machine Translation
https://github.com/Advancing-Machine-Human-Reasoning-Lab/apt
https://github.com/AlCorreia/FABIR
https://github.com/Amy-1114/transformer
https://github.com/AndreiMoraru123/Neural-Machine-Translation
https://github.com/Andrey885/Machine_translation_PyTorch
https://github.com/AnirudhMukherjee/story-generation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.