Jianfeng Gao
Technical Fellow & Corporate Vice President
Nouvelles et reportages
GODEL: Combining goal-oriented dialog with real-world conversations
| Baolin Peng, Michel Galley, Lars Liden, Chris Brockett, Zhou Yu, et Jianfeng Gao
They make restaurant recommendations, help us pay bills, and remind us of appointments. Many people have come to rely on virtual assistants and chatbots to perform a wide range of routine tasks. But what if a single dialog agent, the…
Dans l’actualité | Analytics India
Interview with the team behind Microsoft’s µTransfer
Recently, researchers – Edward Hu, Greg Yang, Jianfeng Gao from Microsoft, introduced µ-Parametrization, which offers maximal feature learning even in infinite-width limit.
µTransfer: A technique for hyperparameter tuning of enormous neural networks
| Edward Hu, Greg Yang, et Jianfeng Gao
Great scientific achievements cannot be made by trial and error alone. Every launch in the space program is underpinned by centuries of fundamental research in aerodynamics, propulsion, and celestial bodies. In the same way, when it comes to building large-scale…
You get what you measure: New NLU benchmarks for few-shot learning and robustness evaluation
| Jianfeng Gao et Ahmed Awadallah
Recent progress in natural language understanding (NLU) has been driven in part by the availability of large-scale benchmarks that provide an environment for researchers to test and measure the performance of AI models. Most of these benchmarks are designed for…
Efficiently and effectively scaling up language model pretraining for best language representation model on GLUE and SuperGLUE
| Jianfeng Gao et Saurabh Tiwary
As part of Microsoft AI at Scale (opens in new tab), the Turing family of NLP models are being used at scale across Microsoft to enable the next generation of AI experiences. Today, we are happy to announce that the…
SOLOIST: Pairing transfer learning and machine teaching to advance task bots at scale
| Baolin Peng, Chunyuan Li, Jinchao Li, Lars Liden, et Jianfeng Gao
The increasing use of personal assistants and messaging applications has spurred interest in building task-oriented dialog systems (or task bots) that can communicate with users through natural language to accomplish a wide range of tasks, such as restaurant booking, weather…
The science behind semantic search: How AI from Bing is powering Azure Cognitive Search
| Rangan Majumder, Alec Berntson, Daxin Jiang (姜大昕), Jianfeng Gao, Furu Wei, et Nan Duan
Azure Cognitive Search (opens in new tab) is a cloud search service that gives developers APIs and tools to build rich search experiences over private, heterogeneous content in web, mobile, and enterprise applications. It has multiple components, including an API for indexing and querying, seamless integration through Azure data ingestion, deep…
HEXA: Self-supervised pretraining with hard examples improves visual representations
| Chunyuan Li, Lei Zhang, et Jianfeng Gao
Humans perceive the world through observing a large number of visual scenes around us and then effectively generalizing—in other words, interpreting and identifying scenes they haven’t encountered before—without heavily relying on labeled annotations for every single scene. One of the…
VinVL: Advancing the state of the art for vision-language models
| Pengchuan Zhang, Lei Zhang, et Jianfeng Gao
Humans understand the world by perceiving and fusing information from multiple channels, such as images viewed by the eyes, voices heard by the ears, and other forms of sensory input. One of the core aspirations in AI is to develop…