Modifying Large Language Model Post-Training for Diverse Creative Writing
Fuente:
arXiv
Saved in:
| Main Authors: | Chung, John Joon Young, Padmakumar, Vishakh, Roemmele, Melissa, Sun, Yuqian, Kreminski, Max |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LiteraryTaste: A Preference Dataset for Creative Writing Personalization
by: Chung, John Joon Young, et al.
Published: (2025)
by: Chung, John Joon Young, et al.
Published: (2025)
Does Writing with Language Models Reduce Content Diversity?
by: Padmakumar, Vishakh, et al.
Published: (2023)
by: Padmakumar, Vishakh, et al.
Published: (2023)
Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbols
by: Chung, John Joon Young, et al.
Published: (2025)
by: Chung, John Joon Young, et al.
Published: (2025)
Phraselette: A Poet's Procedural Palette
by: Calderwood, Alex, et al.
Published: (2025)
by: Calderwood, Alex, et al.
Published: (2025)
LLMs Behind the Scenes: Enabling Narrative Scene Illustration
by: Roemmele, Melissa, et al.
Published: (2025)
by: Roemmele, Melissa, et al.
Published: (2025)
Design Techniques for LLM-Powered Interactive Storytelling: A Case Study of the Dramamancer System
by: Wang, Tiffany, et al.
Published: (2026)
by: Wang, Tiffany, et al.
Published: (2026)
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
by: Chakrabarty, Tuhin, et al.
Published: (2023)
by: Chakrabarty, Tuhin, et al.
Published: (2023)
Patchview: LLM-Powered Worldbuilding with Generative Dust and Magnet Visualization
by: Chung, John Joon Young, et al.
Published: (2024)
by: Chung, John Joon Young, et al.
Published: (2024)
Scaffolding Recursive Divergence and Convergence in Story Ideation
by: Kim, Taewook, et al.
Published: (2025)
by: Kim, Taewook, et al.
Published: (2025)
Intent-Aware Schema Generation And Refinement For Literature Review Tables
by: Padmakumar, Vishakh, et al.
Published: (2025)
by: Padmakumar, Vishakh, et al.
Published: (2025)
Drama Llama: An LLM-Powered Storylets Framework for Authorable Responsiveness in Interactive Narrative
by: Sun, Yuqian, et al.
Published: (2025)
by: Sun, Yuqian, et al.
Published: (2025)
Fuzzy Linkography: Automatic Graphical Summarization of Creative Activity Traces
by: Smith, Amy, et al.
Published: (2025)
by: Smith, Amy, et al.
Published: (2025)
Elsewise: Authoring AI-Based Interactive Narrative with Possibility Space Visualization
by: Wang, Yi, et al.
Published: (2025)
by: Wang, Yi, et al.
Published: (2025)
No Single Best Model for Diversity: Learning a Router for Sample Diversity
by: Liu, Yuhan, et al.
Published: (2026)
by: Liu, Yuhan, et al.
Published: (2026)
Principled Content Selection to Generate Diverse and Personalized Multi-Document Summaries
by: Padmakumar, Vishakh, et al.
Published: (2025)
by: Padmakumar, Vishakh, et al.
Published: (2025)
Scaling Laws for Post Training Quantized Large Language Models
by: Xu, Zifei, et al.
Published: (2024)
by: Xu, Zifei, et al.
Published: (2024)
Weaver: Foundation Models for Creative Writing
by: Wang, Tiannan, et al.
Published: (2024)
by: Wang, Tiannan, et al.
Published: (2024)
Efficient Post-Training Pruning of Large Language Models with Statistical Correction
by: Yu, Peiqi, et al.
Published: (2026)
by: Yu, Peiqi, et al.
Published: (2026)
Beyond the Binary: Capturing Diverse Preferences With Reward Regularization
by: Padmakumar, Vishakh, et al.
Published: (2024)
by: Padmakumar, Vishakh, et al.
Published: (2024)
Explicit Diversity Conditions for Effective Question Answer Generation with Large Language Models
by: Yadav, Vikas, et al.
Published: (2024)
by: Yadav, Vikas, et al.
Published: (2024)
AlignTune: Modular Toolkit for Post-Training Alignment of Large Language Models
by: Lyngkhoi, R E Zera Marveen, et al.
Published: (2026)
by: Lyngkhoi, R E Zera Marveen, et al.
Published: (2026)
Towards a Unified View of Large Language Model Post-Training
by: Lv, Xingtai, et al.
Published: (2025)
by: Lv, Xingtai, et al.
Published: (2025)
Crafting Large Language Models for Enhanced Interpretability
by: Sun, Chung-En, et al.
Published: (2024)
by: Sun, Chung-En, et al.
Published: (2024)
Z-Pruner: Post-Training Pruning of Large Language Models for Efficiency without Retraining
by: Bhuiyan, Samiul Basir, et al.
Published: (2025)
by: Bhuiyan, Samiul Basir, et al.
Published: (2025)
Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models
by: Solgi, Ryan, et al.
Published: (2025)
by: Solgi, Ryan, et al.
Published: (2025)
Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
by: Sun, Hao, et al.
Published: (2025)
by: Sun, Hao, et al.
Published: (2025)
Concept Bottleneck Large Language Models
by: Sun, Chung-En, et al.
Published: (2024)
by: Sun, Chung-En, et al.
Published: (2024)
How Creative Are Large Language Models in Generating Molecules?
by: Tao, Wen, et al.
Published: (2026)
by: Tao, Wen, et al.
Published: (2026)
Test-Time Training on Nearest Neighbors for Large Language Models
by: Hardt, Moritz, et al.
Published: (2023)
by: Hardt, Moritz, et al.
Published: (2023)
Transformers Struggle to Learn to Search
by: Saparov, Abulhair, et al.
Published: (2024)
by: Saparov, Abulhair, et al.
Published: (2024)
CPTQuant - A Novel Mixed Precision Post-Training Quantization Techniques for Large Language Models
by: Nanda, Amitash, et al.
Published: (2024)
by: Nanda, Amitash, et al.
Published: (2024)
On Domain-Adaptive Post-Training for Multimodal Large Language Models
by: Cheng, Daixuan, et al.
Published: (2024)
by: Cheng, Daixuan, et al.
Published: (2024)
S-GRPO: Unified Post-Training for Large Vision-Language Models
by: Yan, Yuming, et al.
Published: (2026)
by: Yan, Yuming, et al.
Published: (2026)
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models
by: Tang, Qiaoyu, et al.
Published: (2024)
by: Tang, Qiaoyu, et al.
Published: (2024)
Interactions Across Blocks in Post-Training Quantization of Large Language Models
by: Shabanovi, Khasmamad, et al.
Published: (2024)
by: Shabanovi, Khasmamad, et al.
Published: (2024)
SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
by: Xiao, Guangxuan, et al.
Published: (2022)
by: Xiao, Guangxuan, et al.
Published: (2022)
RedPajama: an Open Dataset for Training Large Language Models
by: Weber, Maurice, et al.
Published: (2024)
by: Weber, Maurice, et al.
Published: (2024)
Harnessing Large Language Models as Post-hoc Correctors
by: Zhong, Zhiqiang, et al.
Published: (2024)
by: Zhong, Zhiqiang, et al.
Published: (2024)
Radio: Rate-Distortion Optimization for Large Language Model Compression
by: Young, Sean I.
Published: (2025)
by: Young, Sean I.
Published: (2025)
Task-Stratified Knowledge Scaling Laws for Post-Training Quantized Large Language Models
by: Zhou, Chenxi, et al.
Published: (2025)
by: Zhou, Chenxi, et al.
Published: (2025)
Similar Items
-
LiteraryTaste: A Preference Dataset for Creative Writing Personalization
by: Chung, John Joon Young, et al.
Published: (2025) -
Does Writing with Language Models Reduce Content Diversity?
by: Padmakumar, Vishakh, et al.
Published: (2023) -
Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbols
by: Chung, John Joon Young, et al.
Published: (2025) -
Phraselette: A Poet's Procedural Palette
by: Calderwood, Alex, et al.
Published: (2025) -
LLMs Behind the Scenes: Enabling Narrative Scene Illustration
by: Roemmele, Melissa, et al.
Published: (2025)