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Open nowPosted 17 days ago

数字交互世界模型科研实习生

sii-czxy/campus170 open roles

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This job: posted 17 days ago

The posting

1. 阅读并整理世界模型(World Model)、长程视频生成、交互式生成、数字世界建模及智能体原生世界模型等方向的前沿论文与开源项目,跟踪相关研究进展。 2. 复现指定世界模型、视频生成或交互式生成相关开源仓库,完成环境配置、模型运行、基础实验与结果分析,熟悉从数据处理到训练、推理和评测的完整流程。 3. 参与世界模型训练数据 Pipeline 建设,包括视频、图像、文本、交互轨迹等多模态数据的采集、清洗、切分、筛选、格式转换与质量检查,为模型训练提供高质量数据。 4. 参与数字交互世界模型的训练与实验,探索模型对环境状态、未来变化和交互结果的建模能力,研究如何生成具有长时序一致性和可持续演化能力的虚拟世界。 5. 根据项目进展参与视频生成、交互建模及智能体相关研究,探索智能体在生成世界中的观察、行动与反馈机制,以及世界模型对智能体决策和长期交互的支持能力。 6. 参与模型评测与实验分析,围绕生成质量、长程一致性、交互响应、未来预测能力和模型效率等指标开展对比实验与消融分析,整理实验代码、结果及阶段性研究文档

1. 招募对象:本科生、硕士研究生。 2. 计算机、人工智能、数学、统计、电子信息等相关专业背景优先。 3. 具备 Python 编程基础,了解机器学习、深度学习基本方法,能够完成基础的数据处理、模型运行和代码调试。 4. 了解 Transformer、生成模型或大模型基本原理;熟悉 PyTorch 等深度学习框架者优先。 5. 对世界模型、视频生成、多模态大模型、交互式生成、智能体等方向具有研究兴趣。 6. 能够阅读英文技术资料和科研论文,具备基础的开源项目复现、实验记录和结果分析能力。 7. 有世界模型、视频生成、扩散模型、多模态学习、智能体、大模型训练等相关项目经历者优先;有论文复现、算法竞赛或开源项目经历者优先。 8. 具备较强的学习能力和实验执行能力,能够认真维护代码、数据和实验记录,并持续跟进模型训练与实验结果。 9. 对“如何让模型理解并预测世界,并进一步生成能够持续演化和交互的数字环境”这一方向具有持续兴趣,能够稳定投入科研时间。 10. 实习安排:线下科研实习;实习周期:6个月以上;每周投入时间:20–30小时。

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