---
title: "LLM Powered Literature Reviews"
slug: llm-powered-literature-reviews
canonical_url: https://mimansajaiswal.github.io/posts/llm-powered-literature-reviews/
collection: Blurbs
published_at: 2023-10-31T00:00:00.000Z
updated_at: 2023-10-31T00:00:00.000Z
tags: 
  - LLMs
  - Research
  - Tools
author: "Mimansa Jaiswal"
---

## Navigation Context

- Canonical URL: https://mimansajaiswal.github.io/posts/llm-powered-literature-reviews/
- You are here: Home > Posts > Blurbs > LLM Powered Literature Reviews

### Useful Next Links
- [Home](https://mimansajaiswal.github.io/)
- [Publications](https://mimansajaiswal.github.io/papers/)
- [Blurbs](https://mimansajaiswal.github.io/collections/blurbs/)
- [Fieldnotes](https://mimansajaiswal.github.io/collections/fieldnotes/)
- [Personal](https://mimansajaiswal.github.io/collections/personal/)
- [Research](https://mimansajaiswal.github.io/collections/research/)

I came across this amazing [Expandable Abstracts](https://exp-sum.apps.allenai.org/?variant=full) demo from AI2. This is what I imagine interactive LLM integration to look like! In general, I have been finding [Wonders](https://readwonders.com/) and [Metaphor](https://metaphor.systems/) more useful than [Elicit](https://elicit.org/), and that is sad. I like how elicit can process the paper, but the scraping is so old, and the semantic search is poorer, that the actual novelty in output is no longer useful.

* * *

## Cite This Page

```
@article{jaiswal2023llmpoweredliter,
  title   = {LLM Powered Literature Reviews},
  author  = {Jaiswal, Mimansa},
  journal = {mimansajaiswal.github.io},
  year    = {2023},
  month   = {Oct},
  url     = {https://mimansajaiswal.github.io/posts/llm-powered-literature-reviews/}
}
```