158 citations · 349 across the 15 of their papers we have counts for
15 papers
Does Reasoning Help LLM Agents Play Dungeons and Dragons? A Prompt Engineering Experiment
Patricia Delafuente, Arya Honraopatil, Lara J. Martin
This paper explores the application of Large Language Models (LLMs) and reasoning to predict Dungeons & Dragons (DnD) player actions and format them as Avrae Discord bot commands.…
Evaluating Human-LLM Representation Alignment: A Case Study on Affective Sentence Generation for Augmentative and Alternative Communication
Shadab Choudhury, Asha Kumar, Lara J. Martin
Gaps arise between a language model's use of concepts and people's expectations. This gap is critical when LLMs generate text to help people communicate via Augmentative and Altern…
WHAT-IF: Exploring Branching Narratives by Meta-Prompting Large Language Models
Runsheng "Anson" Huang, Lara J. Martin, Chris Callison-Burch
WHAT-IF -- Writing a Hero's Alternate Timeline through Interactive Fiction -- is a system that uses zero-shot meta-prompting to create branching narratives from a prewritten story.…
Aging Up AAC: An Introspection on Augmentative and Alternative Communication Applications for Autistic Adults
Lara J. Martin, Malathy Nagalakshmi
High-tech Augmentative and Alternative Communication (AAC) has been rapidly advancing in recent years due to the increased use of large language models (LLMs) like ChatGPT, but man…
CALYPSO: LLMs as Dungeon Masters' Assistants
Andrew Zhu, Lara J. Martin, Andrew Head +1
The role of a Dungeon Master, or DM, in the game Dungeons & Dragons is to perform multiple tasks simultaneously. The DM must digest information about the game setting and monsters,…
FIREBALL: A Dataset of Dungeons and Dragons Actual-Play with Structured Game State Information
Andrew Zhu, Karmanya Aggarwal, Alexander Feng +2
Dungeons & Dragons (D&D) is a tabletop roleplaying game with complex natural language interactions between players and hidden state information. Recent work has shown that large la…
Human-in-the-Loop Schema Induction
Tianyi Zhang, Isaac Tham, Zhaoyi Hou +12
Schema induction builds a graph representation explaining how events unfold in a scenario. Existing approaches have been based on information retrieval (IR) and information extract…
Author as Character and Narrator: Deconstructing Personal Narratives from the r/AmITheAsshole Reddit Community
Salvatore Giorgi, Ke Zhao, Alexander H. Feng +1
In the r/AmITheAsshole subreddit, people anonymously share first person narratives that contain some moral dilemma or conflict and ask the community to judge who is at fault (i.e.,…
CoRRPUS: Code-based Structured Prompting for Neurosymbolic Story Understanding
Yijiang River Dong, Lara J. Martin, Chris Callison-Burch
Story generation and understanding -- as with all NLG/NLU tasks -- has seen a surge in neurosymbolic work. Researchers have recognized that, while large language models (LLMs) have…
Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence
Chris Callison-Burch, Gaurav Singh Tomar, Lara J. Martin +3
AI researchers have posited Dungeons and Dragons (D&D) as a challenge problem to test systems on various language-related capabilities. In this paper, we frame D&D specifically as…
: A Simplified Commonsense Inference Evaluation for Story Prose
Bryan Li, Lara J. Martin, Chris Callison-Burch
Transformers have been showing near-human performance on a variety of tasks, but they are not without their limitations. We discuss the issue of conflating results of transformers…
Goal-Directed Story Generation: Augmenting Generative Language Models with Reinforcement Learning
Amal Alabdulkarim, Winston Li, Lara J. Martin +1
The advent of large pre-trained generative language models has provided a common framework for AI story generation via sampling the model to create sequences that continue the stor…
Story Realization: Expanding Plot Events into Sentences
Prithviraj Ammanabrolu, Ethan Tien, Wesley Cheung +4
Neural network based approaches to automated story plot generation attempt to learn how to generate novel plots from a corpus of natural language plot summaries. Prior work has sho…
Controllable Neural Story Plot Generation via Reward Shaping
Pradyumna Tambwekar, Murtaza Dhuliawala, Lara J. Martin +3
Language-modeling--based approaches to story plot generation attempt to construct a plot by sampling from a language model (LM) to predict the next character, word, or sentence to…
Event Representations for Automated Story Generation with Deep Neural Nets
Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang +4
Automated story generation is the problem of automatically selecting a sequence of events, actions, or words that can be told as a story. We seek to develop a system that can gener…