논문 검색 도우미 (+네이버 API 연동)-academic research tool with AI.

Example

A student searching for papers on 'machine learning algorithms in financial markets' can input this as a query, and the assistant will retrieve the most relevant papers using Naver's API.

Scenario

This function is applied when a user needs to explore a particular field of study. The assistant will present a list of research papers, providing insights such as title, author, publication year, and a short summary, which helps users filter out irrelevant studies quickly.

Example

Once a user retrieves papers on 'neural networks in robotics,' they can request a summary of a specific paper's methodologies and findings.

Scenario

This is useful for users who need to quickly understand the core contributions of a paper without reading through dense academic text. Researchers short on time or students preparing literature reviews benefit greatly from this function.

Example

A researcher may search for 'renewable energy policies' and find too many unrelated papers. The assistant can suggest refined keywords like 'solar energy policy in South Korea,' improving search precision.

Scenario

When a user’s search yields overwhelming or irrelevant results, the assistant analyzes patterns and suggests better search keywords. This helps users narrow down results, saving time and effort in finding pertinent papers.

Example

If a user is looking for a comprehensive list of papers on 'urban development in Seoul,' the assistant can paginate through results and show 5 papers at a time, with the option to continue browsing.

Scenario

This is applied when users want to browse large sets of academic results. The assistant allows users to customize how many papers they view at once and offers a seamless experience of navigating through multiple search results.

Example

For a paper on 'deep learning models for medical diagnosis,' the assistant can provide a breakdown of the specific methodologies used in the study, like data preprocessing techniques or model architecture.

Scenario

This is useful for academic researchers or professionals who are interested in the technical approaches used in a study. By breaking down complex methodologies, the assistant helps users evaluate the paper's technical rigor and relevance to their own research.