In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

Large Language Models (LLMs) have shown impressive performance in natural language
tasks, but their outputs can exhibit undesirable attributes or biases. Existing methods for …

While intelligent virtual assistants like Siri, Alexa, and Google Assistant have become
ubiquitous in modern life, they still face limitations in their ability to follow multi-step …

As personalized recommendation systems become vital in the age of information overload,
traditional methods relying solely on historical user interactions often fail to fully capture the …

The rapid advancement in text-to-video (T2V) generative models has enabled the synthesis
of high-fidelity video content guided by textual descriptions. Despite this significant progress …

Large language models (LLMs), such as GPT series models, have received substantial
attention due to their impressive capabilities for generating and understanding human-level …

Аннотация В статье рассматривается проблема прогнозирования деятельности агента
исходя из текстового описания задачи и визуального анализа среды. Предложено …

The paper considers the problem of predicting the agent's activity based on the text
description of the task and visual analysis of the environment. An update of the approaches …

目的/意义科技情报工作的每次变革与发展均围绕先进信息技术的应用展开. 目前, 大模型,
智能体等先进AI 技术**在驱动新一轮科研范式变革, 情报机构应该思考科技情报工作范式如何 …