Publications
This section contains publications published by ISI over the past several decades.
2024
Non-conservative diffusion and its application to social network analysis
Rumi Ghosh, Kristina Lerman, Tawan Surachawala, Konstatin Voevodski, Shanghua Teng
Journal of Complex Networks 12 (1), cnae006, 2024
Characterizing online eating disorder communities with large language models
Minh Duc Chu, Aryan Karnati, Zihao He, Kristina Lerman
arXiv preprint arXiv:2401.09647, 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
NewsEdits 2.0: Learning the Intentions Behind Updating News
Alexander Spangher, Kung-Hsiang Huang, Hyundong Cho, Jonathan May
arXiv preprint arXiv:2411.18811, 2024
NewsInterview: a Dataset and a Playground to Evaluate LLMs' Ground Gap via Informational Interviews
Michael Lu, Hyundong Justin Cho, Weiyan Shi, Jonathan May, Alexander Spangher
arXiv preprint arXiv:2411.13779, 2024
Personalized Help for Optimizing Low-Skilled Users' Strategy
Feng Gu, Wichayaporn Wongkamjan, Jonathan K Kummerfeld, Denis Peskoff, Jonathan May, Jordan Boyd-Graber
arXiv preprint arXiv:2411.09109, 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
FlowBench Raw Data Archive
Papadimitriou George, Hongwei Jin, Cong Wang, Krishnan Raghavan, Imtiaz Mahmud, Komal Thareja, Pawel Zuk, Rajiv Mayani, Prasanna Balaprakash, Mariam Kiran, Anirban Mandal, Ewa Deelman
Univ. of Southern California; Univ. of North Carolina at Chapel Hill …, 2024
NSF Major Facilities Cloud Use Cases and Considerations
G Bruce Berriman, Brian Dobbins, Jeremy Fischer, Bob Flynn, Jeffrey Glatstein, Rajiv Mayani, Loïc Pottier, Craig Risien, Benedikt Riedel, Mats Rynge, Erik Scott, Tyson Swetnam, Amanda Tan, Chad Trabant, Karan Vahi, Don Brower, Charles Vardeman
NSF Major Facilities Cloud Use Cases and Considerations, 2024