When large language models meet personalization: Perspectives of challenges and opportunities
The advent of large language models marks a revolutionary breakthrough in artificial
intelligence. With the unprecedented scale of training and model parameters, the capability …
intelligence. With the unprecedented scale of training and model parameters, the capability …
Human-level play in the game of Diplomacy by combining language models with strategic reasoning
Meta Fundamental AI Research Diplomacy Team … - Science, 2022 - science.org
Despite much progress in training artificial intelligence (AI) systems to imitate human
language, building agents that use language to communicate intentionally with humans in …
language, building agents that use language to communicate intentionally with humans in …
Recent advances in deep reinforcement learning applications for solving partially observable markov decision processes (pomdp) problems: Part 1—fundamentals …
X Xiang, S Foo - Machine Learning and Knowledge Extraction, 2021 - mdpi.com
The first part of a two-part series of papers provides a survey on recent advances in Deep
Reinforcement Learning (DRL) applications for solving partially observable Markov decision …
Reinforcement Learning (DRL) applications for solving partially observable Markov decision …
Sequicity: Simplifying task-oriented dialogue systems with single sequence-to-sequence architectures
Existing solutions to task-oriented dialogue systems follow pipeline designs which
introduces architectural complexity and fragility. We propose a novel, holistic, extendable …
introduces architectural complexity and fragility. We propose a novel, holistic, extendable …
Deal or no deal? end-to-end learning for negotiation dialogues
Much of human dialogue occurs in semi-cooperative settings, where agents with different
goals attempt to agree on common decisions. Negotiations require complex communication …
goals attempt to agree on common decisions. Negotiations require complex communication …
A survey of available corpora for building data-driven dialogue systems
During the past decade, several areas of speech and language understanding have
witnessed substantial breakthroughs from the use of data-driven models. In the area of …
witnessed substantial breakthroughs from the use of data-driven models. In the area of …
Artificial intelligence and its role in near future
J Shabbir, T Anwer - arXiv preprint arXiv:1804.01396, 2018 - arxiv.org
AI technology has a long history which is actively and constantly changing and growing. It
focuses on intelligent agents, which contain devices that perceive the environment and …
focuses on intelligent agents, which contain devices that perceive the environment and …
Task-oriented dialogue system for automatic diagnosis
In this paper, we make a move to build a dialogue system for automatic diagnosis. We first
build a dataset collected from an online medical forum by extracting symptoms from both …
build a dataset collected from an online medical forum by extracting symptoms from both …
Decoupling strategy and generation in negotiation dialogues
We consider negotiation settings in which two agents use natural language to bargain on
goods. Agents need to decide on both high-level strategy (eg, proposing\$50) and the …
goods. Agents need to decide on both high-level strategy (eg, proposing\$50) and the …