用大模型一站式分析生物医学陈述真伪，支持文献与专利审查。
SciClaims: An End-to-End Generative System for Biomedical Claim Analysis
- 单个大模型端到端完成陈述提取、证据检索与真伪验证。
- 在PubMed上自动匹配支持或反驳证据，并生成自然语言解释。
- 轻量部署仅需单张GPU，适合研究人员实时交互使用。
我们提出SciClaims，一个面向生物医学领域的交互式网页系统，用于端到端的科学陈述分析。该系统专为高风险场景（如系统性文献综述和专利验证）设计，能够从文本中提取陈述，从PubMed检索相关证据，并验证其真实性。系统提供友好的用户界面，支持用户输入科学文本后，查看提取的陈述、预测结果、支持或反驳证据以及自然语言推理依据。与以往方法不同，SciClaims通过单一大型语言模型无缝整合整个分析流程，无需额外微调。系统优化后可在单张GPU上高效运行，并已公开供实时交互使用。
原文摘要 · Abstract (English)
We present SciClaims, an interactive web-based system for end-to-end scientific claim analysis in the biomedical domain. Designed for high-stakes use cases such as systematic literature reviews and patent validation, SciClaims extracts claims from text, retrieves relevant evidence from PubMed, and verifies their veracity. The system features a user-friendly interface where users can input scientific text and view extracted claims, predictions, supporting or refuting evidence, and justifications in natural language. Unlike prior approaches, SciClaims seamlessly integrates the entire scientific claim analysis process using a single large language model, without requiring additional fine-tuning. SciClaims is optimized to run efficiently on a single GPU and is publicly available for live interaction.
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