Language and Information Technologies
News & features
Abstracts: July 18, 2024
| Gretchen Huizinga and Arindam Mitra
Senior Researcher Arindam Mitra introduces AgentInstruct. Using raw data sources, the automated multi-agent framework can create diverse, high-quality synthetic data at scale for the post-training of small and large language models.
Orca 2: Teaching Small Language Models How to Reason
| Ahmed Awadallah, Andres Codas, Luciano Del Corro, Hamed Khanpour, Shweti Mahajan, Arindam Mitra, Hamid Palangi, Corby Rosset, Clarisse Simoes Ribeiro, and Guoqing Zheng
At Microsoft, we’re expanding AI capabilities by training small language models to achieve the kind of enhanced reasoning and comprehension typically found only in much larger models.
In the news | VentureBeat
Microsoft releases Orca 2, a pair of small language models that outperform larger counterparts
Even as the world bears witness to the power struggle and mass resignation at OpenAI, Microsoft, the long-time backer of the AI major, is not slowing down its own AI efforts. Today, the research arm of the Satya Nadella-led company…
Conversations with data: Advancing the state of the art in language-driven data exploration
| Alex Polozov, Chris Meek, and Ahmed Awadallah
One key aspiration of AI is to develop natural and effective task-oriented conversational systems. Task-oriented conversational systems use a natural language interface to collaborate with and support people in accomplishing specific goals and activities. They go beyond chitchat conversation. For…
In the news | TheNextWeb
Microsoft’s new AI can generate smart to-do lists from your emails
Researchers from the University of Washington and Microsoft’s AI team today unveiled a ‘Smart To-Do’ tool for automatically generating task lists from emails. Smart To-Do is an AI feature that scans your outgoing emails for actionable text and turns your…
In the news | VentureBeat
Microsoft claims its AI framework spots fake news better than state-of-the-art baselines
In a [study] published this week on the preprint server Arxiv.org, Microsoft and Arizona State University researchers propose an AI framework — Multiple sources of Weak Social Supervision (MWSS) — that leverages engagement and social media signals to detect fake news.…
SIGIR 2019 Conference: Research leads to more efficient information access, management, and retrieval
| Ryen W. White, Ahmed Awadallah, and Andrey Kolobov
Microsoft researchers are delving beyond the boundaries of information retrieval to optimize how we access and manage information in different areas. Not only are they advancing the realm most synonymous with information retrieval, search engines, but they are also researching…