報(bào) 告 人

Xue Li（Professor, The University of Queensland）

報(bào)告時(shí)間

2024年11月27日（周三）晚上18:30

報(bào)告地點(diǎn)

椒江校區(qū)科技綜合樓401會(huì)議室

報(bào)

告

內(nèi)

容

簡(jiǎn)

介

This talk is to report our recent research effort on how to use large language models for the high-order reasoning to help professionals to make timely decisions that are often life-critical.  

LLMs can be used to analyse complex contextual information, generate possible solutions, and provide recommendations or insights to humans making critical choices.

In low-order reasoning, search-based approaches draw conclusions on what-where-when-how-why type questions finding readily available answers in the solution space. In high-order reasoning, a conclusion is not simply to be derived or found but to be assessed based on the heuristics of a certain circumstance, where some preferences are considered, and outcomes are verified. In high-order reasoning, a sequence of conclusions is made available one-after-another and assessed consecutively. Thus, different algorithms or models can be applied, and different ranking criteria can be used to compare conclusions that can be exploited from the given evidence.

承辦學(xué)院

電子與信息工程學(xué)院

發(fā)布日期

2024年11月26日

歡迎廣大教師、學(xué)生參加,！