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 …
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 …
Domain adaptive dialog generation via meta learning
Domain adaptation is an essential task in dialog system building because there are so many
new dialog tasks created for different needs every day. Collecting and annotating training …
new dialog tasks created for different needs every day. Collecting and annotating training …