https://github.com/mkremins/spleenwort
공식 코드Guiding and Diversifying LLM-Based Story Generation via Answer Set Programming
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/moxmiller/counterfactual-reasoning
공식 코드Counterfactual reasoning: an analysis of in-context emergence
https://github.com/myracheng/markedpersonas
공식 코드Marked Personas: Using Natural Language Prompts to Measure Stereotypes in Language Models
https://github.com/nish-19/persona-story-gen
공식 코드Whose story is it? Personalizing story generation by inferring author styles
https://github.com/ofa-sys/touchstone
공식 코드TouchStone: Evaluating Vision-Language Models by Language Models
https://github.com/openbmb/chatdev
공식 코드https://github.com/passerby233/VSCMR-Visual-Storytelling-with-Corss-Modal-Rules
공식 코드https://github.com/paulkmandal/fnet_news_headlines
공식 코드An FNet based Auto Encoder for Long Sequence News Story Generation
https://github.com/pytorch/fairseq
공식 코드https://github.com/qianyue-wang/dome
공식 코드Generating Long-form Story Using Dynamic Hierarchical Outlining with Memory-Enhancement
https://github.com/qtli/coeval
공식 코드Exploring the Reliability of Large Language Models as Customized Evaluators for Diverse NLP Tasks
https://github.com/rajammanabrolu/StoryRealization
공식 코드https://github.com/rishidarkdevil/daam-i2i
공식 코드https://github.com/rossiyareich/inknhue
공식 코드inkn'hue: Enhancing Manga Colorization from Multiple Priors with Alignment Multi-Encoder VAE
https://github.com/rsvp-ai/semantic_unwritten
공식 코드https://github.com/saidul-islam98/DataNarrative
공식 코드DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts
https://github.com/saranya-venkatraman/multi_llm_story_writing
공식 코드CollabStory: Multi-LLM Collaborative Story Generation and Authorship Analysis
https://github.com/seraphinatarrant/plan-write-revise
공식 코드Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation
https://github.com/shaily99/eecc
공식 코드Extrinsic Evaluation of Cultural Competence in Large Language Models
https://github.com/sixiaozheng/contextualstory
공식 코드ContextualStory: Consistent Visual Storytelling with Spatially-Enhanced and Storyline Context
https://github.com/tangg555/etrica-storygeneration
공식 코드EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention
https://github.com/tangg555/ngep-eventplan
공식 코드NGEP: A Graph-based Event Planning Framework for Story Generation
https://github.com/tanny411/llm-reliability-and-consistency-evaluation
공식 코드https://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/tensorflow/tensor2tensor
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/tingyaohsu/VIST-Edit
공식 코드https://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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.