| Tobias Schnabel and Jennifer Neville
SAMMO optimizes prompts for LLMs by leveraging their structure to guide optimization. This minimizes the time and effort needed to find performant prompts on a variety of tasks.
In this issue: New research on appropriate reliance on generative AI; Power management opportunities for LLMs in the cloud; LLMLingua-2 improves task-agnostic prompt compression; Enhancing COMET to embrace under-resourced African languages:
作者:系统与网络组 编者按:大模型的飞速发展给人们的生活带来了前所未有的便利。我们是否能够设想利用大模型的潜力,快速扫描整部百科全书、解析繁琐复杂的法律条款,甚至对文章进行精准引用呢?在未来,这些将统统可以实现。然而,目前传统的大模型的上下文窗口限制与昂贵的微调成本使得它们难以处理超长文本,从而限制了其应用潜力。为解决这一问题,微软亚洲研究院的研究员们提出了 LongRoPE。通过精细化非均匀位置...
| Ranveer Chandra
Microsoft at NDSI 2024: Discoveries and implementations in networked systems Topics range from 5G, space, datacenters, and wide-area networking to applications in artificial intelligence, security, video conferencing, and gaming. Learn more about the discoveries and advances we're making with networked…
| Gretchen Huizinga and Tusher Chakraborty
Tusher Chakraborty talks about the paper “Spectrumize: Spectrum-efficient Satellite Networks for the Internet of Things,” including a method for supporting communication between a large IoT-satellite constellation and devices on Earth within a limited spectrum.
Awards | ICASSP 2024
Congratulations to our amazing undergraduate -at the time- student Azalea Gui (in: azalea-gui-b17ab4262) for winning the "Best Student Paper Award" at ICASSP'24 along with co-authors Hannes Gamper, Sebastian Braun, Dimitra Emmanouilidou. The research work was done as part of the…
编者按:随着人工智能技术的快速发展和能力的不断增强,大模型已经逐步应用于人们的日常生活。但这同时也带来了很多新的潜在风险,进一步凸显了大模型与人类价值观对齐问题的紧迫性。然而,人工智能应该与哪些价值观进行对齐?又该如何对齐?这些问题至今还没有明确的答案。 为了解决这些挑战,微软亚洲研究院提出了价值观罗盘(Value Compass)项目,从交叉学科的角度切入,充分借鉴伦理学和社会学中的理论,以解决...
| Kalika Bali and Gretchen Huizinga
The new series “Ideas” debuts with guest Kalika Bali. The speech and language tech researcher talks sci-fi and its impact on her career, the design thinking philosophy behind her research, and the “outrageous idea” she had to work with low-resource…
In the news | Microsoft Stories Asia