Publications

This section contains publications published by ISI over the past several decades.

2024

Explaining mixtures of sources in news articles

Alexander Spangher, James Youn, Matt DeButts, Nanyun Peng, Emilio Ferrara, Jonathan May
arXiv preprint arXiv:2411.05192,  2024

A Little Human Data Goes A Long Way

Dhananjay Ashok, Jonathan May
arXiv preprint arXiv:2410.13098,  2024

Foodpuzzle: Developing large language model agents as flavor scientists

Tenghao Huang, Donghee Lee, John Sweeney, Jiatong Shi, Emily Steliotes, Matthew Lange, Jonathan May, Muhao Chen
arXiv preprint arXiv:2409.12832,  2024

Are Large Language Models Capable of Generating Human-Level Narratives?

Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng
arXiv preprint arXiv:2407.13248,  2024

Multilingual Meta-Distillation Alignment for Semantic Retrieval

Meryem M'hamdi, Jonathan May, Franck Dernoncourt, Trung Bui, Seunghyun Yoon
Proceedings of the 47th International ACM SIGIR Conference on Research and …,  2024

GNOME: Generating Negotiations through Open-Domain Mapping of Exchanges

Darshan Deshpande, Shambhavi Sinha, Anirudh Ravi Kumar, Debaditya Pal, Jonathan May
arXiv preprint arXiv:2406.10764,  2024

LegalDiscourse: Interpreting When Laws Apply and To Whom

Alexander Spangher, Zihan Xue, Te-Lin Wu, Mark Hansen, Jonathan May
Proceedings of the 2024 Conference of the North American Chapter of the …,  2024

Leitner-Guided Memory Replay for Cross-lingual Continual Learning

Meryem M’hamdi, Jonathan May
Proceedings of the 2024 Conference of the North American Chapter of the …,  2024

Gpt is not an annotator: The necessity of human annotation in fairness benchmark construction

Virginia K Felkner, Jennifer A Thompson, Jonathan May
arXiv preprint arXiv:2405.15760,  2024

STAR: A Simple Training-free Approach for Recommendations using Large Language Models

Dong-Ho Lee, Adam Kraft, Long Jin, Nikhil Mehta, Taibai Xu, Lichan Hong, Ed H Chi, Xinyang Yi
arXiv preprint arXiv:2410.16458,  2024

Harmful Suicide Content Detection

Kyumin Park, Myung Jae Baik, YeongJun Hwang, Yen Shin, HoJae Lee, Ruda Lee, Sang Min Lee, Je Young Hannah Sun, Ah Rah Lee, Si Yeun Yoon, Dong-ho Lee, Jihyung Moon, JinYeong Bak, Kyunghyun Cho, Jong-Woo Paik, Sungjoon Park
arXiv preprint arXiv:2407.13942,  2024

Evaluating Very Long-Term Conversational Memory of LLM Agents

Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, Yuwei Fang
ACL 2024,  2024

Safe Spaces or Toxic Places? Content Moderation and Social Dynamics of Online Eating Disorder Communities

Kristina Lerman, Minh Duc Chu, Charles Bickham, Luca Luceri, Emilio Ferrara
arXiv preprint arXiv:2412.15721,  2024

In-Group Love, Out-Group Hate: A Framework to Measure Affective Polarization via Contentious Online Discussions

Buddhika Nettasinghe, Ashwin Rao, Bohan Jiang, Allon Percus, Kristina Lerman
arXiv preprint arXiv:2412.14414,  2024

Universal Patterns in the Long-term Growth of Urban Infrastructure in US Cities from 1900 to 2015

Keith Burghardt, Johannes H Uhl, Kristina Lerman, Stefan Leyk
arXiv preprint arXiv:2412.13181,  2024

Strong Friendship Paradox in Social Networks

Kristina Lerman
arXiv preprint arXiv:2412.02061,  2024

Harmful speech detection by language models exhibits gender-queer dialect bias

Rebecca Dorn, Lee Kezar, Fred Morstatter, Kristina Lerman
Proceedings of the 4th ACM Conference on Equity and Access in Algorithms …,  2024

Estimating Causal Effects of Text Interventions Leveraging LLMs

Siyi Guo, Myrl G Marmarelis, Fred Morstatter, Kristina Lerman
arXiv preprint arXiv:2410.21474,  2024

Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors

Georgios Chochlakis, Alexandros Potamianos, Kristina Lerman, Shrikanth Narayanan
arXiv preprint arXiv:2410.13776,  2024