# Survey of Swarm Intelligence Approaches to Search Documents Based On Semantic Similarity

arXiv: https://arxiv.org/abs/2507.11787 · HTML: https://mlsanity.com/paper/2507.11787/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 23 references that are in the map.
- First posted on arXiv 15 Jul 2025.

## Builds on (most cited first, 1 of 1)

- [Is Cosine-Similarity of Embeddings Really About Similarity?](https://mlsanity.com/paper/2403.05440/) (2024)

## Abstract (arXiv)

Swarm Intelligence (SI) is gaining a lot of popularity in artificial intelligence, where the natural behavior of animals and insects is observed and translated into computer algorithms called swarm computing to solve real-world problems. Due to their effectiveness, they are applied in solving various computer optimization problems. This survey will review all the latest developments in Searching for documents based on semantic similarity using Swarm Intelligence algorithms and recommend future research directions.