Large Language Models

Glenn Matlin, Isaac Song, Anthony Wen-Ming Zang, and Mark O. Riedl
No One Wins in Nuclear War: Social Simulations of High-Stakes Military Decision-Making
Proceedings of the COLM 2026 Workshop on Social Simulations with LLMs (2026).
arXiv Workshop bibtexSocial Simulation Agents Large Language Models AI Safety

Isaac Song, Mohammed Rehan Parwani, Glenn Matlin, Emile Timothy Anand, Akhil Theerthala, Arjun Chatterjee, Anthony Wen-Ming Zang, Maria Kostylew, Yonadav G. Shavit, Sebastian Krier, and Mark O. Riedl
Role Steering of Language Models for Social Simulations
Proceedings of the COLM 2026 Workshop on Social Simulations with LLMs (2026).
arXiv Workshop bibtexSocial Simulation Agents Large Language Models Interpretability

Glenn Matlin, Chandreyi Chakraborty, Saehee Eom, Mika Okamoto, Rayan Castilla, Louis Jaburi, Alvin Deng, Taywon Min, Lucia Quirke, Stella Biderman, and Mark Riedl
Capability Provenance in Language Models: A Case Study in Social Reasoning
Proceedings of the 2026 Conference on Language Models (2026).
arXiv Conference bibtexLarge Language Models Interpretability

Glenn Matlin, Devin Zhang, Rodrigo Barroso Loza, Diana M. Popescu, Joni Isbell, Chandreyi Chakraborty, and Mark Riedl
Do Language Models Agree with Human Perceptions of Suspense in Stories?
Proceedings of the 2025 Conference on Language Models (2025).
arXiv Conference bibtexStorytelling Large Language Models

Kaige Xie, Ian Yang, John Gunerli, and Mark Riedl
Making Large Language Models into World Models with Precondition and Effect Knowledge
Proceedings of the International Conference on Computational Linguistics (2025).
arXiv Conference bibtexLarge Language Models

Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman, Ronan Le Bras, Ximing Lu, Nouha Dziri, Yejin Choi, Mark Riedl, and Maarten Sap
Multi-Attribute Constraint Satisfaction via Language Model Rewriting
Transactions on Machine Learning Research May 2025 (2025).
arXiv Journal bibtexLarge Language Models

Kaige Xie and Mark O. Riedl
Creating Suspenseful Stories with Large Language Models
Proceedings of the 18th Annual Meeting of the European chapter of the Association for Computational Linguistics (EACL) (2024).
arXiv Conference bibtexStorytelling Large Language Models

Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, and Mark O. Riedl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer
Proceedings of the 18th Annual Meeting of the European chapter of the Association for Computational Linguistics (EACL) (2024).
arXiv Conference bibtexLarge Language Models

Ashutosh Baheti, Ximing Lu, Faeze Brahman, Ronan Le Bras, Maarten Sap, and Mark O. Riedl
Improving Language Models with Advantage-based Offline Policy Gradients
Proceedings of ICLR 2024 (2024).
arXiv Conference bibtexLarge Language Models Reinforcement Learning Value Alignment AI Safety

Kaige Xie, Sarah Wiegreffe, and Mark Riedl
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes
Findings of EMNLP 2022 (2022).
arXiv Conference bibtexLarge Language Models Explainable AI

Louis Castricato, Alexander Havrilla, Shahbuland Matiana, Michael Pieler, Anbang Ye, Ian Yang, Spencer Frazier, and Mark Riedl
Robust Preference Learning for Storytelling via Contrastive Reinforcement Learning
arXiv preprint arXiv:2210.07792 (2022).
arXiv bibtexStorytelling Large Language Models Reinforcement Learning Value Alignment

Anbang Ye, Christopher Cui, Taiwei Shi, and Mark O. Riedl
Neural Story Planning
arXiv preprint arXiv:2212.08718 (2022).
arXiv bibtexStorytelling Large Language Models

Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, and Mark O. Riedl
Guiding Neural Story Generation with Reader Models
Findings of EMNLP 2022 (2022).
arXiv Conference bibtexStorytelling Large Language Models

Xiangyu Peng, Siyan Li, Sarah Wiegreffe, and Mark O. Riedl
Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning
Findings of EMNLP 2022 (2022).
arXiv Conference bibtexStorytelling Large Language Models

Amal Alabdulkarim, Winston Li, Lara J. Martin, and Mark O. Riedl
Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learning
arXiv:2112.08593 (2021).
arXiv bibtexStorytelling Large Language Models Reinforcement Learning

Sarah Wiegreffe, Jack Hessel, Swabha Swayamdipta, Mark O. Riedl, and Yejin Choi
Reframing Human-AI Collaboration for Generating Free-Text Explanations
Proceedings of NAACL 2022 (2021).
arXiv Conference bibtexLarge Language Models Explainable AI

Louis Castricato, Spencer Frazier, Jonathan Balloch, Nitya Tarakad, and Mark O. Riedl
Automated Story Generation as Question-Answering
arXiv:2112.03808 (2021).
arXiv bibtexStorytelling Large Language Models

Ashutosh Baheti, Maarten Sap, Alan Ritter, and Mark O. Riedl
Just Say No: Analyzing the Stance of Neural Dialogue Generation in Offensive Contexts
Proceedings of EMNLP 2021 (2021).
arXiv Conference bibtexLarge Language Models Value Alignment AI Safety

Sarah Wiegreffe, Ana Marasovic, and Noah A. Smith
Measuring Association Between Labels and Free-Text Rationales
Proceedings of NAACL 2021 (2021).
arXiv Conference bibtexLarge Language Models Explainable AI Interpretability

Wai Man Si, Prithviraj Ammanabrolu, and Mark O. Riedl
Telling Stories through Multi-User Dialogue by Modeling Character Relations
Proceedings of the 2021 SIGDIAL Conference (2021).
arXiv Conference bibtexStorytelling Large Language Models

Louis Castricato, Spencer Frazier, Jonathan Balloch, and Mark O. Riedl
Tell Me A Story Like I'm Five: Story Generation via Question Answering
Proceedings of the 3rd Workshop on Narrative Understanding (2021).
Workshop bibtexStorytelling Large Language Models

Prithviraj Ammanabrolu and Mark O. Riedl
Telling Stories through Multi-User Dialogue by Modeling Character Relations
Proceedings of the 3rd Workshop on Narrative Understanding (2021).
Workshop bibtexStorytelling Interactive Stories Large Language Models

Zhiyu Lin and Mark O. Riedl
Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes
Proceedings of the 2021 AAAI Conference on AI and Interactive Digital Entertainment (2021).
arXiv Conference bibtexStorytelling Large Language Models

Mark O. Riedl
Weird AI Yankovic: Generating Parody Lyrics
Proceedings of the NeurIPS Workshop on Machine Learning for Creativity and Design (2020).
arXiv Workshop bibtexLarge Language Models

Xiangyu Peng, S. Li, Spencer Frazier, and Mark O. Riedl
Reducing Non-Normative Text Generation from Language Models
International Conference on Natural Language Generation (2020).
arXiv Conference bibtexLarge Language Models Value Alignment AI Safety