Copertina

Whose story is it? Personalizing story generation by inferring author styles

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kumar, Nischal Ashok, Pham, Chau Minh, Iyyer, Mohit, Lan, Andrew
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CLIPPER: Compression enables long-context synthetic data generation
di: Pham, Chau Minh, et al.
Pubblicazione: (2025)

Suri: Multi-constraint Instruction Following for Long-form Text Generation
di: Pham, Chau Minh, et al.
Pubblicazione: (2024)

Frankentext: Stitching random text fragments into long-form narratives
di: Pham, Chau Minh, et al.
Pubblicazione: (2025)

Argument Collapse: LLMs Flatten Long-Form Public Debate
di: Kim, Yekyung, et al.
Pubblicazione: (2026)

Improving Socratic Question Generation using Data Augmentation and Preference Optimization
di: Kumar, Nischal Ashok, et al.
Pubblicazione: (2024)

Using Large Language Models for Student-Code Guided Test Case Generation in Computer Science Education
di: Kumar, Nischal Ashok, et al.
Pubblicazione: (2024)

TopicGPT: A Prompt-based Topic Modeling Framework
di: Pham, Chau Minh, et al.
Pubblicazione: (2023)

StoryScope: Investigating idiosyncrasies in AI fiction
di: Russell, Jenna, et al.
Pubblicazione: (2026)

Interactive Topic Models with Optimal Transport
di: Dhanania, Garima, et al.
Pubblicazione: (2024)

BEARCUBS: A benchmark for computer-using web agents
di: Song, Yixiao, et al.
Pubblicazione: (2025)

VERISCORE: Evaluating the factuality of verifiable claims in long-form text generation
di: Song, Yixiao, et al.
Pubblicazione: (2024)

OWL: Probing Cross-Lingual Recall of Memorized Texts via World Literature
di: Srivastava, Alisha, et al.
Pubblicazione: (2025)

Literary Evidence Retrieval via Long-Context Language Models
di: Thai, Katherine, et al.
Pubblicazione: (2025)

People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text
di: Russell, Jenna, et al.
Pubblicazione: (2025)

SRS-Stories: Vocabulary-constrained multilingual story generation for language learning
di: Kamzela, Wiktor, et al.
Pubblicazione: (2025)

Beyond Precision: Importance-Aware Recall for Factuality Evaluation in Long-Form LLM Generation
di: Jafari, Nazanin, et al.
Pubblicazione: (2026)

Recovering Diversity Without Losing Alignment: A DPO Recipe for Post-Trained LLMs
di: Samuel, Vinay, et al.
Pubblicazione: (2026)

One ruler to measure them all: Benchmarking multilingual long-context language models
di: Kim, Yekyung, et al.
Pubblicazione: (2025)

EditLens: Quantifying the Extent of AI Editing in Text
di: Thai, Katherine, et al.
Pubblicazione: (2025)

Localizing and Mitigating Errors in Long-form Question Answering
di: Sachdeva, Rachneet, et al.
Pubblicazione: (2024)

How good is my story? Towards quantitative metrics for evaluating LLM-generated XAI narratives
di: Ichmoukhamedov, Timour, et al.
Pubblicazione: (2024)

WHODUNIT: Evaluation benchmark for culprit detection in mystery stories
di: Gupta, Kshitij
Pubblicazione: (2025)

VeriFastScore: Speeding up long-form factuality evaluation
di: Rajendhran, Rishanth, et al.
Pubblicazione: (2025)

Iteratively Prompting Multimodal LLMs to Reproduce Natural and AI-Generated Images
di: Naseh, Ali, et al.
Pubblicazione: (2024)

BooookScore: A systematic exploration of book-length summarization in the era of LLMs
di: Chang, Yapei, et al.
Pubblicazione: (2023)

Surprisal reveals diversity gaps in image captioning and different scorers change the story
di: Ilinykh, Nikolai, et al.
Pubblicazione: (2025)

Does quantization affect models' performance on long-context tasks?
di: Mekala, Anmol, et al.
Pubblicazione: (2025)

One Thousand and One Pairs: A "novel" challenge for long-context language models
di: Karpinska, Marzena, et al.
Pubblicazione: (2024)

LongStory: Coherent, Complete and Length Controlled Long story Generation
di: Park, Kyeongman, et al.
Pubblicazione: (2023)

"Image, Tell me your story!" Predicting the original meta-context of visual misinformation
di: Tonglet, Jonathan, et al.
Pubblicazione: (2024)

Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries
di: Malaviya, Chaitanya, et al.
Pubblicazione: (2024)

AI use in American newspapers is widespread, uneven, and rarely disclosed
di: Russell, Jenna, et al.
Pubblicazione: (2025)

PostMark: A Robust Blackbox Watermark for Large Language Models
di: Chang, Yapei, et al.
Pubblicazione: (2024)

Reinforcement Learning from Human Feedback: Whose Culture, Whose Values, Whose Perspectives?
di: Barman, Kristian González, et al.
Pubblicazione: (2024)

Employing Label Models on ChatGPT Answers Improves Legal Text Entailment Performance
di: Nguyen, Chau, et al.
Pubblicazione: (2024)

Whose Boat Does it Float? Improving Personalization in Preference Tuning via Inferred User Personas
di: Balepur, Nishant, et al.
Pubblicazione: (2025)

Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture
di: Mandal, Nischal, et al.
Pubblicazione: (2025)

Multistage Collaborative Knowledge Distillation from a Large Language Model for Semi-Supervised Sequence Generation
di: Zhao, Jiachen, et al.
Pubblicazione: (2023)

Movie2Story: A framework for understanding videos and telling stories in the form of novel text
di: Li, Kangning, et al.
Pubblicazione: (2024)

A Multi-Agent Approach to Validate and Refine LLM-Generated Personalized Math Problems
di: Ikram, Fareya, et al.
Pubblicazione: (2026)