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I was hoping for this to announce a tool for research. Anyone know of the best way to do something like: "Find most relevant papers related to topic XYZ, down

I was hoping for this to announce a tool for research. Anyone know of the best way to do something like: "Find most relevant papers related to topic XYZ, download them, extract metadata, generate big-picture summary and entity-relationship graph"? Having a nice workflow for this would be the best thing since sliced bread for hobbyists interested in niche science topics. Recently found https://minicule.com https://minicule.com which is free and lets you search + import, but it focuses more on "concept-extraction" than LLM synthesis/summary.

AustinBGibbons 1y ago
Check out https://elicit.com/ https://elicit.com/
- gavinray 1y ago
  Seems potentially useful, thanks! Only drawback I can see is the small number of papers provided by the free plan, but that's reasonable I suppose.
hugeBirb 1y ago
I've been trying to tackle this exact problem. Current process is to use exa.ai to collect a wide breadth of research papers. Do a summarization pass and convert to markdown. Search for more specific terms then give the relevant papers/context to Gemini 2.5 pro and say give me a summary. Looking for very specific resources and to be honest it's been a terrible process :|
- kianN 1y ago
  Linking to a nearby thread in case this is helpful: https://news.ycombinator.com/item?id=44457928 https://news.ycombinator.com/item?id=44457928
dmezzetti 1y ago
PaperAI is also an option if you prefer open-source: https://github.com/neuml/paperai https://github.com/neuml/paperai Disclaimer: I'm the primary author of this project.
kianN 1y ago
I built a public literature review search tool for some graduate student friends that became pretty popular in the Santa Barbara area. It actually does exactly what you are describing. It’s not neural network based: it leverages hierarchical mixture models to give a statistical overview of the data. It lets you build these analysis graphs via search or citation networks. Example: https://platform.sturdystatistics.com/deepdive?search_type=external&q=https://www.semanticscholar.org/paper/6052486bc9144dc1730c12bf35323af3792a1fd0&engine=cn_all https://platform.sturdystatistics.com/deepdive?search_type=e...
- gavinray 1y ago
  This is genuinely incredible, tried it using a recent-ish paper on the pharmacology and mechanisms of the Androgen Receptor and my mind is blown: https://platform.sturdystatistics.com/deepdive?fast=1&q=https://doi.org/10.3934/molsci.2018.2.131&engine=cn_all https://platform.sturdystatistics.com/deepdive?fast=1&q=http...
  - deleted 1y ago
    [deleted]
andjar 1y ago
A while ago, I started working on two R packages for creating 'living reviews': metawoRld and DataFindR, see https://andjar.github.io/metawoRld/articles/conceptual_overview.html https://andjar.github.io/metawoRld/articles/conceptual_overv... . You do the broad literature search yourself, but the idea is to use LLMs to select relevant studies and perform data extraction in a structured, reproducible manner. The extracted data is stored in a git repository for collaboration and version tracking, with automated validation and website generation for presenting results.
- TechDebtDevin 1y ago
  "Structured and Reproducable"
tkuipers 1y ago
I’ve found a lot of success with https://www.undermind.ai/ https://www.undermind.ai/ though I’m not sure it has the graph you’re looking for
- gavinray 1y ago
  This also looks excellent, thank you!
whattheheckheck 1y ago
Connectedpapers.com
tough 1y ago
emergentmind is pretty good
sergeim19 1y ago
Hi, I'm the creator of https://tatevlab.com https://tatevlab.com. It does something similar + aiming to be something like a "spotify" for research papers (currently working on a feature to allow creating and sharing personal collections). It summarizes papers based on practical potential and you can find papers based on similarity. Feedback is welcome.
Metacelsus 1y ago
https://platform.futurehouse.org/ https://platform.futurehouse.org/
- gavinray 1y ago
  Their Chemistry LLM that's an iteration of ChemCrow is really useful, thank you!
matt1 1y ago
My site, https://www.emergentmind.com https://www.emergentmind.com, is exactly for this. It surfaces trending AI/ML/CS papers, summarizes them, links to social commentary, lets you read and download papers, links to topics, and more. Would love any feedback you have!

AustinBGibbons 1y ago

Check out https://elicit.com/ https://elicit.com/

gavinray 1y ago
Seems potentially useful, thanks! Only drawback I can see is the small number of papers provided by the free plan, but that's reasonable I suppose.

hugeBirb 1y ago

I've been trying to tackle this exact problem. Current process is to use exa.ai to collect a wide breadth of research papers. Do a summarization pass and convert to markdown. Search for more specific terms then give the relevant papers/context to Gemini 2.5 pro and say give me a summary. Looking for very specific resources and to be honest it's been a terrible process :|

kianN 1y ago
Linking to a nearby thread in case this is helpful: https://news.ycombinator.com/item?id=44457928 https://news.ycombinator.com/item?id=44457928

dmezzetti 1y ago

PaperAI is also an option if you prefer open-source: https://github.com/neuml/paperai https://github.com/neuml/paperai Disclaimer: I'm the primary author of this project.

kianN 1y ago

I built a public literature review search tool for some graduate student friends that became pretty popular in the Santa Barbara area. It actually does exactly what you are describing. It’s not neural network based: it leverages hierarchical mixture models to give a statistical overview of the data. It lets you build these analysis graphs via search or citation networks. Example: https://platform.sturdystatistics.com/deepdive?search_type=external&q=https://www.semanticscholar.org/paper/6052486bc9144dc1730c12bf35323af3792a1fd0&engine=cn_all https://platform.sturdystatistics.com/deepdive?search_type=e...

gavinray 1y ago
This is genuinely incredible, tried it using a recent-ish paper on the pharmacology and mechanisms of the Androgen Receptor and my mind is blown: https://platform.sturdystatistics.com/deepdive?fast=1&q=https://doi.org/10.3934/molsci.2018.2.131&engine=cn_all https://platform.sturdystatistics.com/deepdive?fast=1&q=http...
- deleted 1y ago
  [deleted]

andjar 1y ago

A while ago, I started working on two R packages for creating 'living reviews': metawoRld and DataFindR, see https://andjar.github.io/metawoRld/articles/conceptual_overview.html https://andjar.github.io/metawoRld/articles/conceptual_overv... . You do the broad literature search yourself, but the idea is to use LLMs to select relevant studies and perform data extraction in a structured, reproducible manner. The extracted data is stored in a git repository for collaboration and version tracking, with automated validation and website generation for presenting results.

TechDebtDevin 1y ago
"Structured and Reproducable"

tkuipers 1y ago

I’ve found a lot of success with https://www.undermind.ai/ https://www.undermind.ai/ though I’m not sure it has the graph you’re looking for

gavinray 1y ago
This also looks excellent, thank you!

whattheheckheck 1y ago

Connectedpapers.com

tough 1y ago

emergentmind is pretty good

sergeim19 1y ago

Hi, I'm the creator of https://tatevlab.com https://tatevlab.com. It does something similar + aiming to be something like a "spotify" for research papers (currently working on a feature to allow creating and sharing personal collections). It summarizes papers based on practical potential and you can find papers based on similarity. Feedback is welcome.

Metacelsus 1y ago

https://platform.futurehouse.org/ https://platform.futurehouse.org/

gavinray 1y ago
Their Chemistry LLM that's an iteration of ChemCrow is really useful, thank you!

matt1 1y ago

My site, https://www.emergentmind.com https://www.emergentmind.com, is exactly for this. It surfaces trending AI/ML/CS papers, summarizes them, links to social commentary, lets you read and download papers, links to topics, and more. Would love any feedback you have!