Toward the third generation artificial intelligence

B Zhang, J Zhu, H Su - Science China Information Sciences, 2023 - Springer
There have been two competing paradigms in artificial intelligence (AI) development ever
since its birth in 1956, ie, symbolism and connectionism (or sub-symbolism). While …

The moral psychology of Artificial Intelligence

JF Bonnefon, I Rahwan, A Shariff - Annual review of psychology, 2024 - annualreviews.org
Moral psychology was shaped around three categories of agents and patients: humans,
other animals, and supernatural beings. Rapid progress in artificial intelligence has …

Webgpt: Browser-assisted question-answering with human feedback

R Nakano, J Hilton, S Balaji, J Wu, L Ouyang… - arxiv preprint arxiv …, 2021 - arxiv.org
We fine-tune GPT-3 to answer long-form questions using a text-based web-browsing
environment, which allows the model to search and navigate the web. By setting up the task …

RocketQA: An optimized training approach to dense passage retrieval for open-domain question answering

Y Qu, Y Ding, J Liu, K Liu, R Ren, WX Zhao… - arxiv preprint arxiv …, 2020 - arxiv.org
In open-domain question answering, dense passage retrieval has become a new paradigm
to retrieve relevant passages for finding answers. Typically, the dual-encoder architecture is …

AI-based chatbots in customer service and their effects on user compliance

M Adam, M Wessel, A Benlian - Electronic Markets, 2021 - Springer
Communicating with customers through live chat interfaces has become an increasingly
popular means to provide real-time customer service in many e-commerce settings. Today …

Transforming conversations with AI—A comprehensive study of ChatGPT

G Bansal, V Chamola, A Hussain, M Guizani… - Cognitive …, 2024 - Springer
The field of cognitive computing, conversational AI has witnessed remarkable progress,
largely driven by the development of the Generative Pre-trained Transformer (GPT) series …

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

JH Clark, E Choi, M Collins, D Garrette… - Transactions of the …, 2020 - direct.mit.edu
Confidently making progress on multilingual modeling requires challenging, trustworthy
evaluations. We present TyDi QA—a question answering dataset covering 11 typologically …

Conversational commerce: entering the next stage of AI-powered digital assistants

J Balakrishnan, YK Dwivedi - Annals of Operations Research, 2024 - Springer
Digital assistant is a recent advancement benefited through data-driven innovation. Though
digital assistants have become an integral member of user conversations, but there is no …

Retrieving and reading: A comprehensive survey on open-domain question answering

F Zhu, W Lei, C Wang, J Zheng, S Poria… - arxiv preprint arxiv …, 2021 - arxiv.org
Open-domain Question Answering (OpenQA) is an important task in Natural Language
Processing (NLP), which aims to answer a question in the form of natural language based …

Opportunities and challenges for machine learning in materials science

D Morgan, R Jacobs - Annual Review of Materials Research, 2020 - annualreviews.org
Advances in machine learning have impacted myriad areas of materials science, such as
the discovery of novel materials and the improvement of molecular simulations, with likely …