Produced by Jack D’Isidoro Mooj Zadie and Olivia Natt Edited by M.J. Davis Lin and Michael Benoist Contains music by Dan Powell Marion Lozano Diane Wong and Rowan Niemisto Engineered by Chris Wood ...

The popularity of drones, and the defense minister who heavily promoted them, helped lead to a clash in which President Volodymyr Zelensky sided with the military brass. By Andrew E. Kramer At a time ...

Somewhere in your organization, the answer to next quarter's hardest question already exists. It sits in a contract clause nobody indexed, a support ticket thread nobody summarized, a call transcript ...

On the Media is a weekly show that uses the media as a lens to understand our world. On the Media listeners say the show is an essential companion, helping them survive the firehose of media coming at ...

Duane Froese, University of Alberta; Hendrik Poinar, McMaster University; Scott L. Cocker, Stockholm University, and Tyler J. Murchie, McMaster University ...

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Every New Yorker post. The President promised “really, really big news” before his prime-time speech. But the declassified, heavily redacted documents he delivered felt more like Pam Bondi’s bogus ...

A similar measure was passed into law in 1974 but repealed later that year as Americans encountered the reality of dark winter mornings. The fast-food chain’s lettuce supplier says it is removing all ...

To be published by The Conversation you must be currently employed as a researcher or academic with a university or research institution. PhD candidates under supervision by an academic can write for ...

扩散语言模型展现出较高的发展潜力，但在代码等形式语言生成任务中，仍难以稳定满足语法约束。针对这一问题，本文提出了针对扩散语言模型约束解码方法 —— LAVE，通过对扩散语言模型的中间输出进行前瞻补全与语法验证，为模型生成过程提供了可靠的语法保障。实验表明，LAVE 能够显著提升多种扩散语言模型生成形式化语言（例如源代码、JSON、化学表达式）的语法正确率，同时改善功能正确率，并保持较低的推理开销。