BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Shanghai BEGIN:STANDARD DTSTART:19910915T010000 TZOFFSETFROM:+0900 TZOFFSETTO:+0800 TZNAME:CST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251110T040526Z UID:37164C31-6EAC-481E-B871-8F7B578FB0BA DTSTART;TZID=Asia/Shanghai:20251108T163000 DTEND;TZID=Asia/Shanghai:20251108T170000 DESCRIPTION:Algorithm Design (AD) is essential for effective problem-solvin g across various domains. The emergence of Large Language Models (LLMs) ha s significantly enhanced automation and innovation in this field\, offerin g fresh perspectives and promising solutions. Over the past year\, integra ting LLMs into AD has made substantial progress\, with applications in opt imization\, machine learning\, mathematical reasoning\, and scientific dis covery. This talk will provide an overview of recent advancements in LLM-f or-AD and showcase representative LLM-based automated AD methods. We will also demonstrate a platform designed to facilitate research in this area.\ n\nSpeaker(s): Zhichao Lu\, \n\nFunction Room 2\, 6th Floor\, Shenzhen Nan shan Genpla Hotel\, No. 3333 Liuxian Avenue\, Nanshan District\, Shenzhen\ , Guangdong\, China LOCATION:Function Room 2\, 6th Floor\, Shenzhen Nanshan Genpla Hotel\, No. 3333 Liuxian Avenue\, Nanshan District\, Shenzhen\, Guangdong\, China ORGANIZER:ranchengcn@gmail.com SEQUENCE:6 SUMMARY:Automated Algorithm Design with Large Language Models URL;VALUE=URI:https://events.vtools.ieee.org/m/510368 X-ALT-DESC:Description: <br /><p class="MsoNormal"><span lang="EN-US" style ="font-family: 'Times New Roman'\,serif\; mso-fareast-font-family: 宋体\ ;">Algorithm Design (AD) is essential for effective problem-solving across various domains. The emergence of Large Language Models (LLMs) has signif icantly enhanced automation and innovation in this field\, offering fresh perspectives and promising solutions. Over the past year\, integrating LLM s into AD has made substantial progress\, with applications in optimizatio n\, machine learning\, mathematical reasoning\, and scientific discovery. This talk will provide an overview of recent advancements in LLM-for-AD an d showcase representative LLM-based automated AD methods. We will also dem onstrate a platform designed to facilitate research in this area.</span></ p> END:VEVENT END:VCALENDAR