8042750d41
* stage academic conversation * stage document conversation * fix buggy gradio version * file dynamic load * merge more academic plugins * accelerate nltk * feat: 为predict函数添加文件和URL读取功能 - 添加URL检测和网页内容提取功能，支持自动提取网页文本 - 添加文件路径识别和文件内容读取功能，支持private_upload路径格式 - 集成WebTextExtractor处理网页内容提取 - 集成TextContentLoader处理本地文件读取 - 支持文件路径与问题组合的智能处理 * back * block unstable --------- Co-authored-by: XiaoBoAI <liuboyin2019@ia.ac.cn>
47 lines
1.5 KiB
Python
47 lines
1.5 KiB
Python
# 新建文件，添加论文识别提示
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PAPER_IDENTIFY_PROMPT = """Analyze the query to identify paper details.
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Query: {query}
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Task: Extract paper identification information from the query.
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Always generate English search terms regardless of the input language.
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IMPORTANT: Ignore any requirements about journal ranking (CAS, JCR, IF index),
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or output format requirements. Focus only on identifying paper details.
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Possible paper identifiers:
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1. arXiv ID (e.g., 2103.14030, arXiv:2103.14030)
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2. DOI (e.g., 10.1234/xxx.xxx)
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3. Paper title (e.g., "Attention is All You Need")
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Examples:
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1. Query with arXiv ID:
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Query: "Analyze paper 2103.14030"
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<paper_info>
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<paper_source>arxiv</paper_source>
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<paper_id>2103.14030</paper_id>
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<paper_title></paper_title>
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</paper_info>
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2. Query with DOI:
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Query: "Review the paper with DOI 10.1234/xxx.xxx"
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<paper_info>
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<paper_source>doi</paper_source>
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<paper_id>10.1234/xxx.xxx</paper_id>
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<paper_title></paper_title>
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</paper_info>
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3. Query with paper title:
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Query: "Analyze 'Attention is All You Need' paper"
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<paper_info>
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<paper_source>title</paper_source>
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<paper_id></paper_id>
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<paper_title>Attention is All You Need</paper_title>
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</paper_info>
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Please analyze the query and respond ONLY with XML tags containing paper information."""
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PAPER_IDENTIFY_SYSTEM_PROMPT = """You are an expert at identifying academic paper references.
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Your task is to extract paper identification information from queries.
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Look for arXiv IDs, DOIs, and paper titles.""" |