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Introducing quickarXiv Papers are often written in convoluted language that is hard to understand. We're fixing that. Swap arxiv → quickarxiv on any paper URL to get an instant blog with figures, insights, and explanations. Now extracted with DeepSeek OCR 🚀

138,169 views • 1 year ago •via X (Twitter)

35 Comments

alphaXiv's profile picture
alphaXiv1 year ago

Example:

ℏεsam's profile picture
ℏεsam1 year ago

this is so cool. LFG

Jeffrey Li's profile picture
Jeffrey Li1 year ago

Tried doing yesterday. Glad this just rolled out 😆

alex morris's profile picture
alex morris10 months ago

ok so we're doing papiers again but with less features "papers are written in convoluted language" is a take that reveals you're not the target audience papers are dense because: they need to be precise (ambiguity = unreproducible) they assume domain knowledge (that's what citations are for) they follow conventions that let experts skim efficiently page limits force compression "convoluted" = "I don't have the background to read this efficiently" which is fine! but the solution isn't dumbing it down, it's building up your knowledge what quickarxiv actually does: OCR the PDF (DeepSeek, fine) GPT-wrapper summarization extract figures reformat as blog this already exists: papiers (we just talked about this) explainpaper arxiv-sanity literally just pasting into Claude the "blog format" is actively worse for some content: math derivations need the actual math methodology sections need precision results need the actual numbers and confidence intervals "insights and explanations" means "LLM's interpretation of what matters" the failure mode: you read the quickarxiv blog, think you understand the paper, cite it in your own work, get the details wrong because the summary elided something important. this already happens constantly also "DeepSeek OCR" as a feature is funny because arxiv has had machine-readable source files forever. most papers have LaTeX source. you don't need OCR, you need to parse the .tex who this is actually for: people who want to seem like they read papers without reading papers. VCs, journalists, twitter threads. not researchers tldr: it's an LLM summary with figures extracted. useful for skimming, dangerous for understanding. the "papers are convoluted" framing tells on itself — the density is a feature not a bug

Regi Kusumaatmadja's profile picture
Regi Kusumaatmadja1 year ago

Cool!

Zhuoran Yang's profile picture
Zhuoran Yang1 year ago

Is it possible to tweet the prompts for blog generation (say, adding explanations to some parts of the paper), and downloading the blog as markdown?

sevenone's profile picture
sevenone1 year ago

Highly recommend providing side-by-side translations of the papers themselves, with English and translated languages displayed in parallel! An absolute must-have

Chuck Petras's profile picture
Chuck Petras1 year ago

@BrianRoemmele

eigentiki's profile picture
eigentiki1 year ago

~ thanks👍🏾

Tyler Ponte's profile picture
Tyler Ponte1 year ago

love this for a dummy like me

Sohan's profile picture
Sohan1 year ago

Are you open sourcing this?

Paul Mineiro's profile picture
Paul Mineiro1 year ago

Now do quickTwitter. So much research being described with influencer terms and put into N post threads.

haitri's profile picture
haitri11 months ago

what if you treat comprehension in itself as a learning experience rather than trying to circumvent everything

OpenLedger Intern's profile picture
OpenLedger Intern11 months ago

huge for digesting info in a more understandable manner for everyone, huge W thanks for pushing

pgBouncer's profile picture
pgBouncer1 year ago

Cool!

BotCFcom的三局两胜喵✋😭🤚's profile picture
BotCFcom的三局两胜喵✋😭🤚11 months ago

Looking forward to the final product! I've always felt like I'm missing a way to recommend papers and get quick summaries.

SadBeaver's profile picture
SadBeaver11 months ago

Interesting idea! I'll try it out.

HappyVolley's profile picture
HappyVolley11 months ago

I'm not sure if its the cloudflare outage affecting Google SSO but i'm unable to use this service

Kai Gill 👾's profile picture
Kai Gill 👾11 months ago

LOVE this

hnp's profile picture
hnp1 year ago

🙏👍

spacegrep🏳️‍🌈's profile picture
spacegrep🏳️‍🌈11 months ago

demo looks cool! is this open source?

Enigma Boy's profile picture
Enigma Boy11 months ago

Sound like a pretty decent project

Zumi's profile picture
Zumi1 year ago

this just what I need. does it support discussion with multiple papers instead just one or full comparison in the library

Giuseppe Valenza's profile picture
Giuseppe Valenza11 months ago

@torchborg quickarXiv for dense papers is huge! What’s been the most convoluted paper you’ve tackled recently? 🤔

Andrew Quirke's profile picture
Andrew Quirke11 months ago

Found another app going after this concept a couple days ago and really liked how easy it made digesting articles. Going to give this a go next!

Mitayan's profile picture
Mitayan11 months ago

noob version, i like it.😍

Olivier George's profile picture
Olivier George11 months ago

Can you make it work for biorxiv?

Daz ✦'s profile picture
Daz ✦11 months ago

cook

Prompt University's profile picture
Prompt University11 months ago

Super cool, would love to collab on a new 100% AI research faculty

Wenji's profile picture
Wenji1 year ago

The UI design is so good. Also the browser plugin is pretty useful. Nice works!

Melvin Vivas's profile picture
Melvin Vivas11 months ago

where can I see papers I liked? seems bookmarks are only shown

Pooja Palod's profile picture
Pooja Palod11 months ago

This is so cool

paddy's profile picture
paddy1 year ago

neat

Doğaç's profile picture
Doğaç11 months ago

@askalphaxiv Can I somehow integrate this feature into my Zotero collection?

iDare e/acc's profile picture
iDare e/acc11 months ago

Doesn't work on mobile?

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