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Found 10 papers, 2 papers with code
Foundation Model Sherpas: Guiding Foundation Models through Knowledge and Reasoning
Foundation models (FMs) such as large language models have revolutionized the field of AI by showing remarkable performance in various tasks.
Self-Supervised Contrastive Pre-Training for Multivariate Point Processes
Self-supervision is one of the hallmarks of representation learning in the increasingly popular suite of foundation models including large language models such as BERT and GPT-3, but it has not been pursued in the context of multivariate event streams, to the best of our knowledge.
Distilling Event Sequence Knowledge From Large Language Models
In this work, we explore the use of Large Language Models (LLMs) to generate event sequences that can effectively be used for probabilistic event model construction.
Event Prediction using Case-Based Reasoning over Knowledge Graphs
To generalize our methods beyond the domain of event prediction, we frame our task as a 2-hop LP task, where the first hop is a causal relation connecting a cause event to a new effect event and the second hop is a property about the new event which we wish to predict.
Summary Markov Models for Event Sequences
Datasets involving sequences of different types of events without meaningful time stamps are prevalent in many applications, for instance when extracted from textual corpora.
Logical Credal Networks
This paper introduces Logical Credal Networks, an expressive probabilistic logic that generalizes many prior models that combine logic and probability.
A Multi-Channel Neural Graphical Event Model with Negative Evidence
Event datasets are sequences of events of various types occurring irregularly over the time-line, and they are increasingly prevalent in numerous domains.
Proximal Graphical Event Models
Event datasets include events that occur irregularly over the timeline and are prevalent in numerous domains.
A Big Data Approach to Computational Creativity
Computational creativity is an emerging branch of artificial intelligence that places computers in the center of the creative process.
