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Toward the third generation artificial intelligence
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 …
since its birth in 1956, ie, symbolism and connectionism (or sub-symbolism). While …
The moral psychology of Artificial Intelligence
Moral psychology was shaped around three categories of agents and patients: humans,
other animals, and supernatural beings. Rapid progress in artificial intelligence has …
other animals, and supernatural beings. Rapid progress in artificial intelligence has …
Webgpt: Browser-assisted question-answering with human feedback
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 …
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
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 …
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
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 …
popular means to provide real-time customer service in many e-commerce settings. Today …
Transforming conversations with AI—A comprehensive study of ChatGPT
The field of cognitive computing, conversational AI has witnessed remarkable progress,
largely driven by the development of the Generative Pre-trained Transformer (GPT) series …
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
Confidently making progress on multilingual modeling requires challenging, trustworthy
evaluations. We present TyDi QA—a question answering dataset covering 11 typologically …
evaluations. We present TyDi QA—a question answering dataset covering 11 typologically …
Conversational commerce: entering the next stage of AI-powered digital assistants
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 …
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
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 …
Processing (NLP), which aims to answer a question in the form of natural language based …
Opportunities and challenges for machine learning in materials science
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 …
the discovery of novel materials and the improvement of molecular simulations, with likely …