Dr. Lingzi Hong

My research goal is to develop AI methods and solutions that deeply attuned to human needs and behaviors. I use interdisciplinary research approaches, including advanced computing techniques and qualitative user studies, to decipher the complex interactions between humans and sociotechnical systems. The insights are applied for decision-making and creating intuitive and empowering AI applications. I have publications in top computer research conferences, including AAAI, EMNLP, ICWSM, NAACL, and prestigious journals, such as IJHCI and JASIS&T. I am the PI of two applied research grants supported by the IMLS (Institute of Museum and Library Services): Inclusive Services to Enhance Immigrants' Resilience to Crisis (LG-256661-OLS-24) and Gauging Library Needs for Advanced AI-Assisted Cataloging (LG-256666-OLS-24).

Recent News

• We delivered two tutorials on the ASIS&T 2025 IDEA Institute on AI program: (1) Applications of LLMs in Library Information Organization by Jinyu Liu and Dr. Lingzi Hong, and (2) AI-assisted Communication by Xiaoying Song and Dr. Lingzi Hong. 
• Research paper "Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL" by Xiaoying Song, Anirban Saha Anik, Dibakar Barua, Dr. Pengcheng Luo, Dr. Junhua Ding, and Dr. Lingzi Hong is accepted by EMNLP 2025 (2nd in Computational Linguistics publications).
• Research paper "A Dynamic Fusion Model for Consistent Crisis Response" by Xiaoying Song, Anirban Saha Anik, Dr. Eduardo Blanco, Dr. Vanessa Frias-Martinez, and Dr. Lingzi Hong is accepted by EMNLP 2025 (2nd in Computational Linguistics publications).
• Research paper "Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation" by Anirban Saha Anik, Xiaoying Song, Elliott Wang, Bryan Wang, Bengisu Yarimbas, and Dr. Lingzi Hong is accepted by the Conference on Language Modeling COLM 2025.
• Research paper "A Hybrid Framework for Subject Analysis: Integrating Embedding-Based Regression Models with Large Language Models" by Jinyu Liu, Xiaoying Song, Diana Zhang, Jason Thomale, Dr. Daqing He, and Dr. Lingzi Hong is accepted by ASIS&T 2025 (top conference in Information Science).
• A survey paper "Investigating fake financial news: a systematic review of trends, themes, LLM-based detection methods, and theories" by Mohotarema Rashid, Dr. Lingzi Hong, and Dr. Sarah Ryan is published in the Aslib Journal of Information Management. 
• Research paper "Assessing the Human Likeness of AI-Generated Counterspeech" by Xiaoying Song, Sujana Mamidisetty, Dr. Eduardo Blanco, and Dr. Lingzi Hong is accepted by COLING 2025 (5th in Computational Linguistic publications).
• Dr. Lingzi Hong and Jason Thomale from UNT Libraries, Charlene Chou from NYU Libraries, and Jiangping Chen from UIUC iSchool will organize a workshop "Large Language Models for Library Information Organization" in iConference 2025 , top conference in Library Information Science. 
• Research paper "Analyzing the Language of Rejection: a Study of User Flagging Responses to Hate Speech on Reddit" by Sharon Perez, Xiaoying Song, and Dr. Lingzi Hong is accepted for presentation in iConference 2025.
• I am invited to serve as the Vice Chair for the Panel Track of ASIS&T 2025 (top conference in Library Information Science).
• Research paper "Cross-Continental Dialogues: Analyzing the Dichotomy of Social Media Discourse in Ethiopian Social Movement #Nomore" by Meseret Zeleke, Dr. Daniella Smith, and Dr. Lingzi Hong is accepted by the Hawaii International Conference on System Sciences (HICSS) 2025 .
• Research paper "Outcome-Constrained Large Language Models for Countering Hate Speech" by Dr. Lingzi Hong, Dr. Pengcheng Luo, Dr. Eduardo Blanco, and Xiaoying Song is accepted for presentation at the EMNLP 2024 main conference (2nd in Computational Linguistic publications).
• Two posters, "Assessing AI-Generated Counter-Speech in Human Likeness" led by Xiaoying Song and "Enhancing Health Communication: Developing LLM-based Models to Generate Effective Counter Speech Against Misinformation" led by Anirban, are selected as the top 10 finalist to be presented in the event of the Day of Health Informatics and Data Science on Sep 20, 2024 at the University of North Texas. "Enhancing Health Communication" won the first place award!
• I was awarded $415,366 for the project "Inclusive Services to Enhance Immigrants' Resilience to Crisis" by the Institute of Museum and Library Services IMLS National Leadership Grants. Dr. Ana Roeschley and Dr. Yunfei Du are the Co-PIs of this project. The award number is: LG-256661-OLS-24. Thank you IMLS for the support!
• I was awarded $132,759 for the project "Gauging Library Needs for Advanced AI-Assisted Cataloging" by the IMLS National Leadership Grants. Jason Thomale from UNT Libraries is the Co-PI of this project. The award number is: LG-256666-OLS-24.
• Project "Building Community College Library Capacity for Supporting Students’ Data Literacy Needs" was awarded $249,998 by the IMLS Laura Bush 21st Century Librarian Program. Thank you Dr. Jeonghyun Kim for leading the project! Dr. Sarah Evans and I are the Co-PIs of the project. The award number is: RE-256673-OLS-24.
• I was invited to serve as the Area Chair of the 31st International Conference on Computational Linguistics (COLING 2025)