Special Issue on Large Language Models for Social Impact (LLMSI)
Published 24 July, 2024
In recent years, the emergence of powerful Large Language Models (LLMs) such as OpenAI's GPT series, Google Bard, and Meta Llama has made significant strides across various industries. While these models have demonstrated their potential to assist humans in open-domain tasks, there is a growing need for them to be applied in various specific domains to drive social development. At the same time, LLMs’ high resource consumption, hallucinations, biases, and other issues have also raised social concerns.
This special track is dedicated to research driven by key societal questions, exploring the potential of large language models to foster social development. It focuses on LLM research that aims to positively impact current global and local social challenges while enhancing the interaction between civil society, science, and policy. Additionally, we aim to address the social concerns associated with LLMs themselves. Submissions that demonstrate multidisciplinary approaches, incorporating contributions from computer science, social sciences, and natural sciences, are strongly encouraged.
To explore these issues, we invite researchers to submit original research articles and reviews on the following topics (but not limited to):
- Low-CostData Collection Methods for LLMs
- Efficient Training Methods for LLMs
- Eco-Friendly Evaluation Methods for LLMs
- LLM for Education
- LLM for Medical and Health
- LLM for Environmental Sustainability, Energy, and Climate
- LLM for Low and Middle-Income Countries / Underserved Communities
- LLM for Social Networks and Social Media
- LLM for Urban Planning/ Mobility /Transportation
- LLM for Social Welfare, Justice, Fairness and Equality
- LLM for Natural Sciences, Computational Social Science and Humanities
- LLM for Security and Privacy
- LLM for Economy
- LLM for Judiciary
- LLM for Humanities and History
- LLM for other domains to foster social development
Important Dates:
- Submission deadline: 30 Oct. 2024
- First-round Review Notification: 31 Dec. 2024
- Final Decision Notification: 31 Jan. 2025
Submission Instructions:
Please read Guide for Authors before submitting. All articles should be submitted through submission link, please select SI: LLMSI on submission.
Guest Editors:
- Ye Wu, Beijing Normal University, wuye@bnu.edu.cn
- Jing Zhang, Renmin University of China, zhang-jing@ruc.edu.cn
- Fulan Qian, Anhui University, qianfulan@ahu.edu.cn
