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Open nowPosted 44 days ago

新型生成模型与智能体水印科研实习生

sii-czxy/campus170 open roles

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Your applicationOpen now新型生成模型与智能体水印科研实习生sii-czxy/campus

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Share of postings closed within
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  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 44 days ago

The posting

1. 调研新型生成模型与内容水印技术：阅读并整理扩散语言模型、自回归图像生成、多模态生成模型及智能体（Agent）等方向的前沿论文，分析不同生成范式下的内容标识需求与技术挑战。 2. 分析生成机制与水印设计空间：研究不同模型架构中的信息传播过程和生成特点，探索适用于不同生成范式的水印嵌入位置、编码方式及检测策略。 3. 设计与验证新型水印方法：针对扩散模型、图像生成模型、多模态模型和智能体应用场景，设计水印算法并开展实验验证，综合评估检测准确率、生成质量保持能力及抗攻击鲁棒性。 4. 构建实验平台与评测体系：搭建新型生成模型水印实验环境，设计不同模型、生成任务和攻击场景下的评测流程，开展系统性对比实验和性能分析。 5. 探索前沿研究方向并形成成果：跟踪生成式人工智能与 AI 安全领域最新进展，提出新的研究问题和技术方案，参与科研论文、技术报告及相关成果整理。

1. 招募对象：高中生、本科生、硕士研究生。 2. 计算机、人工智能、数学、自动化、电子信息等相关专业背景优先；不要求已有相关科研成果，对生成式 AI、安全技术和前沿研究感兴趣即可申请。 3. 具备机器学习、深度学习和生成式人工智能基础知识，了解大语言模型、图像生成模型、多模态模型或智能体中的至少一个方向。 4. 具备线性代数、概率统计、微积分等基础数学能力，能够阅读和理解机器学习领域论文及技术资料。 5. 具备良好的 Python 编程能力，了解 PyTorch，能够运行基础模型、修改实验代码并完成结果分析。 6. 具备较强的科研探索能力和自主学习能力，愿意阅读最新论文、提出研究问题并通过实验验证想法。 7. 有以下经历者优先：Diffusion、LLM、多模态生成、图像生成、Agent 等相关项目经验；AI 安全、数字水印、内容认证相关研究经历；开源项目、论文复现、算法竞赛或科研项目经验。 8. 实习安排：远程科研实习；周期3–6个月；每周投入10小时以内

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