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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 просмотров • 1 год назад •via X (Twitter)

Комментарии: 35

Фото профиля alphaXiv
alphaXiv1 год назад

Example:

Фото профиля ℏεsam
ℏεsam1 год назад

this is so cool. LFG

Фото профиля Jeffrey Li
Jeffrey Li1 год назад

Tried doing yesterday. Glad this just rolled out 😆

Фото профиля alex morris
alex morris10 месяцев назад

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

Фото профиля Regi Kusumaatmadja
Regi Kusumaatmadja1 год назад

Cool!

Фото профиля Zhuoran Yang
Zhuoran Yang1 год назад

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?

Фото профиля sevenone
sevenone1 год назад

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

Фото профиля Chuck Petras
Chuck Petras1 год назад

@BrianRoemmele

Фото профиля eigentiki
eigentiki1 год назад

~ thanks👍🏾

Фото профиля Tyler Ponte
Tyler Ponte1 год назад

love this for a dummy like me

Фото профиля Sohan
Sohan1 год назад

Are you open sourcing this?

Фото профиля Paul Mineiro
Paul Mineiro1 год назад

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

Фото профиля haitri
haitri11 месяцев назад

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

Фото профиля OpenLedger Intern
OpenLedger Intern1 год назад

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

Фото профиля pgBouncer
pgBouncer1 год назад

Cool!

Фото профиля BotCFcom的三局两胜喵✋😭🤚
BotCFcom的三局两胜喵✋😭🤚1 год назад

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

Фото профиля SadBeaver
SadBeaver11 месяцев назад

Interesting idea! I'll try it out.

Фото профиля HappyVolley
HappyVolley11 месяцев назад

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

Фото профиля Kai Gill 👾
Kai Gill 👾1 год назад

LOVE this

Фото профиля hnp
hnp1 год назад

🙏👍

Фото профиля spacegrep🏳️‍🌈
spacegrep🏳️‍🌈1 год назад

demo looks cool! is this open source?

Фото профиля Enigma Boy
Enigma Boy11 месяцев назад

Sound like a pretty decent project

Фото профиля Zumi
Zumi1 год назад

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

Фото профиля Giuseppe Valenza
Giuseppe Valenza11 месяцев назад

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

Фото профиля Andrew Quirke
Andrew Quirke1 год назад

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!

Фото профиля Mitayan
Mitayan1 год назад

noob version, i like it.😍

Фото профиля Olivier George
Olivier George1 год назад

Can you make it work for biorxiv?

Фото профиля Daz ✦
Daz ✦1 год назад

cook

Фото профиля Prompt University
Prompt University11 месяцев назад

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

Фото профиля Wenji
Wenji1 год назад

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

Фото профиля Melvin Vivas
Melvin Vivas11 месяцев назад

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

Фото профиля Pooja Palod
Pooja Palod1 год назад

This is so cool

Фото профиля paddy
paddy1 год назад

neat

Фото профиля Doğaç
Doğaç1 год назад

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

Фото профиля iDare e/acc
iDare e/acc1 год назад

Doesn't work on mobile?

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