Are Crowded Events Forecastable from Promotional Announcements with Large Language Models?
Abstract
References
Index Terms
- Are Crowded Events Forecastable from Promotional Announcements with Large Language Models?
Recommendations
The Event Crowd: A Novel Approach for Crowd-Enabled Event Processing
DEBS '17: Proceedings of the 11th ACM International Conference on Distributed and Event-based SystemsEvent processing systems involve the processing of high volume and variety data which has inherent uncertainties like incomplete event streams, imprecise event recognition etc. With the emergence of crowdsourcing platforms, the performance of event ...
Large Language Model for Action Anticipation
Artificial Neural Networks and Machine Learning – ICANN 2024AbstractVideo action anticipation is a challenging task in which the model needs to reason about the upcoming action based on historical video information. To achieve effective action comprehension and anticipation, current research primarily focuses on ...
Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models
SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information RetrievalWith the development of legal intelligence, Criminal Court View Generation has attracted much attention as a crucial task of legal intelligence, which aims to generate concise and coherent texts that summarize case facts and provide explanations for ...
Comments
Information & Contributors
Information
Published In
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Short-paper
- Research
- Refereed limited
Funding Sources
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 65Total Downloads
- Downloads (Last 12 months)65
- Downloads (Last 6 weeks)41
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