Accepted Papers
NarraDetect: An annotated dataset for the task of narrative detection Andrew Piper and Sunyam Bagga
Emotion Sequences and Persuasive Stories: Evidence from Online Fundraising and LLM-Assisted Rewrites Samsun Knight, Liu Liu and Laura Kornish
On the Transferability of Causal Knowledge for Language Models Gourab Dey and Yash Kumar Lal
Multi-Party Supervised Fine-tuning of Language Models for Multi-Party Dialogue Generation Xiaoyu Wang, Ningyuan Xi, Teng Chen, Qingqing Gu, Yue Zhao, Xiaokai Chen, Zhonglin Jiang, Yong Chen and Luo Ji
Automated main concept generation for narrative discourse assessment in aphasia Ankita Gupta, Marisa J. Hudspeth, Polly Stokes, Jacquie Kurland and Brendan O'Connor
Finding Common Patterns in Domestic Violence Stories Posted on Reddit Mohammad Shokri, Emily Klapper, Jason Shan and Sarah Ita Levitan
A Theoretical Framework for Evaluating Narrative Surprise in Large Language Models Annaliese Bissell, Ella Paulin and Andrew Piper
LLMs for Public Narrative Understanding Elinor G. Poole-Dayan, Daniel T. Kessler, Margaret Hughes, Emily S. Lin, Marshall Ganz and Deb Roy
CLIPPER: Compression enables long-context synthetic data generation Chau Minh Pham, Yapei Chang and Mohit Iyyer
Beyond LLMs A Linguistic Approach to Causal Graph Generation from Narrative Texts Zehan Li, Ruhua Pan and Xinyu Pi
CHATTER: A character-attribution dataset for narrative understanding Sabyasachee Baruah and Shrikanth Narayanan
Tracking Evolving Relationship Between Characters in Books in the Era of Large Language Models Abhilasha Sancheti and Rachel Rudinger
Social Scaffolds: A Generalization Framework for Social Understanding Tasks Ritam Dutt, Carolyn Rosé and Maarten Sap
Exploration of Plan-Guided Summarization for Narrative Texts: the Case of Small Language Models Matt Grenander, Siddharth Varia, Paula Czarnowska, Yogarshi Vyas, Kishaloy Halder and Bonan Min
Evaluating LLMs' Ability to Reason about Impossible Worlds Kabir Ahuja, Melanie Sclar and Yulia Tsvetkov
Speaker Identification and Dataset Construction Using LLMs: A Case Study on Japanese Narratives Seiji Gobara, Hidetaka Kamigaito and Taro Watanabe
Fine-Tuned LLMs are "Time Capsules'' for Tracking Societal Bias Through Books Sangmitra Madhusudan, Robert A. Morabito, Skye E. Reid, Nikta Gohari Sadr and Ali Emami
Narrative Studio: Visual Narrative Exploration using LLMs and Monte Carlo Tree Search Parsa Ghaffari and Chris Hokamp