Xplorer-advanced research tool for papers.

Example

A researcher looking for recent advances in deep learning can use Xplorer to conduct a semantic search with terms like 'deep learning advancements 2024'. This search will yield a list of relevant papers, prioritized by contextual relevance rather than just keyword matching.

Scenario

This function is particularly useful when the user is exploring a new topic and needs to identify the most relevant literature quickly, without manually sifting through numerous unrelated papers.

Example

Suppose a user is studying the transformer architecture and needs to dive deep into the specifics of the encoder-decoder model. Xplorer can retrieve and display the section discussing this model from the original 'Attention is All You Need' paper, including detailed explanations and any associated figures.

Scenario

Ideal for users who need to focus on specific parts of a paper without reading through the entire document, such as when preparing for a lecture, writing a review, or developing a new algorithm based on existing research.

Example

When analyzing a complex paper on neural networks, a data scientist might need to closely examine the figures that illustrate model architectures or performance metrics. Xplorer can extract these figures along with their captions, making it easier to interpret and utilize visual data from the paper.

Scenario

This is especially valuable in technical fields where visual representations of data, models, or results are critical for understanding and application, such as in machine learning, physics, or engineering research.