Proactive dialogue systems, related to a wide range of real-world conversational applications, equip the conversational agent with the capability of leading the conversation direction towards achieving pre-defined targets or fulfilling certain goals from the system side. It is empowered by advanced techniques to progress to more complicated tasks that require strategical and motivational interactions. In… Continue reading A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects
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Sparks of Artificial General Intelligence: Early experiments with GPT-4
Artificial intelligence (AI) researchers have been developing and refining large language models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks, challenging our understanding of learning and cognition. The latest model developed by OpenAI, GPT-4, was trained using an unprecedented scale of compute and data. In this paper, we report on our… Continue reading Sparks of Artificial General Intelligence: Early experiments with GPT-4
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining significant attention from society. As a result, many individuals have become interested in related resources and are seeking to uncover the background and secrets behind its impressive performance. In fact, ChatGPT and other Generative AI (GAI) techniques belong to the category of Artificial Intelligence Generated Content… Continue reading A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
A Survey of Large Language Models
This survey highlights the complexity of language and the challenge of developing AI algorithms capable of understanding and generating language. Over the past two decades, language modelling has evolved from statistical models to neural models, with recent advances in pre-trained language models (PLMs) that use Transformer models and large-scale corpora for improved language understanding and… Continue reading A Survey of Large Language Models
Learning to Quantify
This book provides an introduction and an overview of learning to quantify (a.k.a. “quantification”), the task of training, by means of supervised learning, estimators of class proportions in unlabelled data. In data science, learning to quantify is a task of its own, related to classification but different from it, since estimating class proportions by simply… Continue reading Learning to Quantify
Search-Based Procedural Content Generation: A Taxonomy and Survey
The focus of this survey is on research in applying evolutionary and other metaheuristic search algorithms to automatically generating content for games, both digital and nondigital (such as board games). The term search-based procedural content generation is proposed as the name for this emerging field, which at present is growing quickly. A taxonomy for procedural… Continue reading Search-Based Procedural Content Generation: A Taxonomy and Survey