The Second Workshop on Large Language Models for Individuals, Groups, and Society
Pages 3062 - 3064
Abstract
This is the second workshop in the series which discusses the cutting-edge developments in research and applications of personalizing large language models (LLMs) and adapting them to the demands of diverse user populations and societal needs. The full-day workshop plan includes several keynotes and invited talks, a poster session and a panel discussion.
References
[1]
Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, and Mingyang Zhang. 2024. WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. In Proceedings of the 17th ACM International Conference on Web Search and Data Mining. 1206--1207.
[2]
Ruibo Liu, Ge Zhang, Xinyu Feng, and Soroush Vosoughi. 2022. Aligning generative language models with human values. In Findings of the Association for Computational Linguistics: NAACL 2022. 241--252.
Index Terms
- The Second Workshop on Large Language Models for Individuals, Groups, and Society
Recommendations
WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society
WSDM '24: Proceedings of the 17th ACM International Conference on Web Search and Data MiningThis workshop discusses the cutting-edge developments in research and applications of personalizing large language models (LLMs) and adapting them to the demands of diverse user populations and societal needs. The full-day workshop includes several ...
Comments
Information & Contributors
Information
Published In
July 2024
3164 pages
ISBN:9798400704314
DOI:10.1145/3626772
- General Chairs:
- Grace Hui Yang,
- Hongning Wang,
- Sam Han,
- Program Chairs:
- Claudia Hauff,
- Guido Zuccon,
- Yi Zhang
Copyright © 2024 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 11 July 2024
Check for updates
Author Tags
Qualifiers
- Short-paper
Conference
SIGIR 2024
Sponsor:
SIGIR 2024: The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
July 14 - 18, 2024
Washington DC, USA
Acceptance Rates
Overall Acceptance Rate 792 of 3,983 submissions, 20%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 147Total Downloads
- Downloads (Last 12 months)147
- Downloads (Last 6 weeks)25
Reflects downloads up to 20 Jan 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in