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New browser-based system uses LLMs for academic literature extraction

By PulseAugur Editorial · [1 sources] ·

Researchers have developed TCMIIES, a browser-based system designed to extract structured information from academic literature, particularly in Traditional Chinese Medicine. This platform utilizes commercial LLM APIs and a schema-guided prompting framework, allowing users to define custom extraction schemas via a graphical interface without needing programming skills. The system processes data locally in the browser, supports multiple LLM providers including DeepSeek, OpenAI, and Qwen, and has demonstrated high compliance rates and near-expert-level accuracy in evaluations. AI

IMPACT This system could lower the barrier for domain researchers to leverage LLMs for large-scale literature analysis.

RANK_REASON The cluster describes a new academic paper detailing a novel system for information extraction. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New browser-based system uses LLMs for academic literature extraction

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The cluster describes a new academic paper detailing a novel system for information extraction. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Hanqing Zhao ·

    TCMIIES: A Browser-Based LLM-Powered Intelligent Information Extraction System for Academic Literature

    arXiv:2605.07507v2 Announce Type: replace Abstract: The rapid growth of academic publications has created a need for tools that extract structured knowledge from unstructured scientific texts. Although large language models (LLMs) can perform natural language understanding and in…

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