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Papers Story Generation

“Story Generation” 태그가 달린 논문 288편 · 필터 해제

Sidecar: Training-Free Semantic Reuse for Character-Consistent Free-form Visual Storytelling

2026-08-27 · Sibo Dong, Sarah Adel Bargal arxiv

Visual storytelling requires generating images that follow a narrative while preserving consistent character identities across frames. In free-form story generation, a character is fully described only when first introdu…

Visual StorytellingStory Generation

Scaling Creative Writing Beyond Story-Centric Data with Attribute-Guided Genre Expansion

2026-08-14 · Hwan Chang, Yongil Kim, Heuiyeen Yeen, Yireun Kim 외 arxiv

High-quality creative writing data for large language models (LLMs) remains dominated by story-centric data, limiting models' ability to follow the structural and functional conventions of diverse creative formats. We pr…

Story Generation

Right in the Right Way: LM Training with Verifiable Rewards and Human Demonstrations

2026-07-01 · Mehul Damani, Isha Puri, Idan Shenfeld, Jacob Andreas arxiv

RL with verifiable rewards (RLVR) has emerged as a powerful paradigm for training LMs on tasks with well-defined success metrics, such as code generation and mathematical reasoning. However, current RLVR methods optimize…

Mathematical ReasoningStory GenerationCode Generation

From Personas to Plot: Character-Grounded Multi-Agent Story Generation for Long-Form Narratives

2026-07-01 · Aayush Aluru, Chloe Ho, Muhammad Hammouri, Kerry Luo 외 arxiv

Although large language models (LLMs) have demonstrated impressive creative fiction generation, they struggle to maintain narrative consistency and coherent plot lines in long-form stories. In this work, we introduce a u…

Story Generation

UniTemp: Unlocking Video Generation in Any Temporal Order via Bidirectional Distillation

2026-06-17 · Lin Zhang, Sicheng Mo, Zefan Cai, Jinhong Lin 외 arxiv

Autoregressive video diffusion models have emerged as a promising approach for long video generation, achieving strong performance in streaming settings. However, existing methods are restricted to forward temporal gener…

Story GenerationVideo Generation

Constrained Semantic Decompression in LLMs through Persian Proverb-Conditioned Story Generation

2026-06-10 · Zahra Habibzadeh, Paria Khoshtab, Amir Mesbah, Yadollah Yaghoobzadeh arxiv

Transforming a dense, abstract proverb into an engaging and morally faithful narrative requires deep cultural understanding and robust semantic grounding. We frame this problem as a \emph{constrained semantic decompressi…

Story Generation

Speculative Decoding Across Languages

2026-05-28 · Nirajan Paudel, Michael Ginn, Luc De Nardi, Alexis Palmer arxiv

Speculative decoding has become a crucial component of large language model (LLM) inference, enabling faster generation by drafting multiple tokens and verifying them in parallel. However, small draft models tend to suff…

Story Generation

One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems

2026-05-21 · Yufei Shi, Weilong Yan, Naixuan Huang, Yucheng Chen 외 arxiv

Existing approaches for digital short-drama production typically rely on one-shot LLM generated scripts and loosely coupled pipelines, which fail to satisfy three key requirements of short-drama generation: (1) narrative…

Story GenerationVideo Generation

AttriStory: Fine-grained Attribute Realization for Visual Storytelling with Diffusion Models

2026-05-20 · Manogna Sreenivas, Rohit Kumar, Soma Biswas arxiv

Visual storytelling with diffusion models has made impressive strides in maintaining character consistency across narrative scenes. However, a critical gap remains: while these methods ensure a character remains consiste…

Visual StorytellingStory Generation

Children's English Reading Story Generation via Supervised Fine-Tuning of Compact LLMs with Controllable Difficulty and Safety

2026-05-13 · Qian Shen, Fanghua Cao, Min Yao, Shlok Gilda 외 arxiv

Large Language Models (LLMs) are widely applied in educational practices, such as for generating children's stories. However, the generated stories are often too difficult for children to read, and the operational cost o…

Story Generation

NARRA-Gym for Evaluating Interactive Narrative Agents

2026-05-08 · Yue Huang, Yuchen Ma, Jiayi Ye, Wenjie Wang 외 arxiv

Interactive narrative tasks require LLMs to sustain a coherent, evolving story while adapting to a user over multiple turns. However, suitable benchmarks for this setting are limited: existing evaluations often focus on …

Story Generation

StoryAlign: Evaluating and Training Reward Models for Story Generation

2026-05-06 · Haotian Xia, Hao Peng, Yunjia Qi, Xiaozhi Wang 외 arxiv

Story generation aims to automatically produce coherent, structured, and engaging narratives. Although large language models (LLMs) have significantly advanced text generation, stories generated by LLMs still diverge fro…

Story GenerationText Generation

DATAREEL: Automated Data-Driven Video Story Generation with Animations

2026-04-28 · Ridwan Mahbub, Syem Aziz, Mahir Ahmed, Shadikur Rahman 외 arxiv

Data videos are a powerful medium for visual data based storytelling, combining animated, chart-centric visualizations with synchronized narration. Widely used in journalism, education, and public communication, they hel…

Story Generation

Personality Shapes Gender Bias in Persona-Conditioned LLM Narratives Across English and Hindi: An Empirical Investigation

2026-04-26 · Tanay Kumar, Shreya Gautam, Aman Chadha, Vinija Jain 외 arxiv

Large Language Models (LLMs) are increasingly deployed in persona-driven applications such as education, customer service, and social platforms, where models are prompted to adopt specific personas when interacting with …

Story Generation

SPAGBias: Uncovering and Tracing Structured Spatial Gender Bias in Large Language Models

2026-04-16 · Binxian Su, Haoye Lou, Shucheng Zhu, Weikang Wang 외 arxiv

Large language models (LLMs) are being increasingly used in urban planning, but since gendered space theory highlights how gender hierarchies are embedded in spatial organization, there is concern that LLMs may reproduce…

Story Generation

Noise Steering for Controlled Text Generation: Improving Diversity and Reading-Level Fidelity in Arabic Educational Story Generation

2026-04-03 · Haziq Mohammad Khalid, Salsabeel Shapsough, Imran Zualkernan arxiv

Generating diverse, pedagogically valid stories for Arabic early-grade reading assessments requires balancing tight constraints on vocabulary, reading level, and narrative structure against the need to avoid repetitive p…

Story GenerationText Generation

Skeleton-based Coherence Modeling in Narratives

2026-04-02 · Nishit Asnani, Rohan Badlani arxiv

Modeling coherence in text has been a task that has excited NLP researchers since a long time. It has applications in detecting incoherent structures and helping the author fix them. There has been recent work in using n…

Story Generation

Competency Questions as Executable Plans: a Controlled RAG Architecture for Cultural Heritage Storytelling

2026-04-02 · Naga Sowjanya Barla, Jacopo de Berardinis arxiv

The preservation of intangible cultural heritage is a critical challenge as collective memory fades over time. While Large Language Models (LLMs) offer a promising avenue for generating engaging narratives, their propens…

Story GenerationKnowledge Graphs

Customized Visual Storytelling with Unified Multimodal LLMs

2026-03-29 · Wei-Hua Li, Cheng Sun, Chu-Song Chen arxiv

Multimodal story customization aims to generate coherent story flows conditioned on textual descriptions, reference identity images, and shot types. While recent progress in story generation has shown promising results, …

Visual StorytellingStory Generation

Alignment Reduces Expressed but Not Encoded Gender Bias: A Unified Framework and Study

2026-03-25 · Nour Bouchouchi, Thibault Laugel, Xavier Renard, Christophe Marsala 외 arxiv

During training, Large Language Models (LLMs) learn social regularities that can lead to gender bias in downstream applications. Most mitigation efforts focus on reducing bias in generated outputs, typically evaluated on…

Story Generation
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