首先放上链接：磐石大模型

简介

可以一句话生成一篇综述的大模型！免费注册！

官网简介：

“磐石·文献罗盘”旨在辅助科研人员精读文章、撰写综述、评估科研选题与技术路径，已接入1.7亿篇科技文献与实时开源科技信息，可深度理解包含公式与图表的科学数据，一次性透彻梳理上千篇文献。在其支持下，以往需要3至5天才能完成的文献调研工作可缩短至20分钟。

文献罗盘（S1-Literature）

辅助科研人员精读文章、撰写综述、评估科研选题与技术路径

• 全面调研科研信息，依托全球 1.7亿 科技文献，自动生成搜索逻辑，20分钟 定位研究前沿
• 深度精读文献报告，准确解读科学公式与专业表达，辅助理解文献内容和技术路径
• 透彻梳理科研进展，自动整理综述骨架、梳理上千篇文献，6小时生成 4万字 完整综述内容
• 贯穿科研生命周期的引文网络，站在研究者的视角重新审视科研成果的创新性、贡献度

工具调度台（S1-ToolChain）

面向科研场景的智能工具调度平台，支持科研任务的灵活编排与全流程自动执行

• 覆盖科研全流程任务，支持科学数据理解、逻辑推理、实验方案编排与任务管理
• 集成 300+ 科研工具与 30+ 专业模型，适配数据处理、模型训练、特征分析等多环节
• 支持基于标准协议接入自有工具与智能体，已应用于数字细胞、材料科学等 10+ 科研场景
• 提供高性能资源调度与可复现计算环境，支撑大规模复杂科研任务稳定执行

效果展示

提示词如下

请帮我写一篇综述。
标题：  Causal-Copilot: An Autonomous Causal Analysis Agent
关键词： llm, causal inference, causal analysis
内容描述：Causal analysis plays a foundational role in scientific discovery and reliable decisionmaking, yet it remains largely inaccessible to domain experts due to its conceptual and algorithmic complexity. This disconnect between causal methodology and practical usability presents a dual challenge: domain experts are unable to leverage recent advances in causal learning, while causal researchers lack broad, real-world deployment to test and refine their methods. To address this, we introduce Causal-Copilot, an autonomous agent that operationalizes expert-level causal analysis within a large language model framework. Causal-Copilot automates the full pipeline of causal analysis for both tabular and timeseries data—including causal discovery, causal inference, algorithm selection, hyperparameter optimization, result interpretation, and generation of actionable insights. It supports interactive refinement through natural language, lowering the barrier for non-specialists while preserving methodological rigor. By integrating over 20 state-of-the-art causal analysis techniques, our system fosters a virtuous cycle - expanding access to advanced causal methods for domain experts while generating rich, real-world applications that inform and advance causal theory. Empirical evaluations demonstrate that Causal-Copilot achieves superior performance compared to existing baselines, offering a reliable, scalable, and extensible solution that bridges the gap between theoretical sophistication and real-world applicability in causal analysis.

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注册

首先进入磐石官网，选择免费注册

需要填写真实的工作单位，等待24小时之后，即通过审核
选择学术综述，填写相关信息等待即可

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