chiphuyen/sotawhat
chiphuyen/sotawhat has 1,424 GitHub stars and 189 forks. GitHot measured -1 stars in 24 hours and +1 in 7 days. Last checked 2026-11-09 05:08 UTC. Last push 2024-02-02.
Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.
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README.md
Originalsotawhat
Read more about SOTAWHAT here.
You can use sotawhat through a web interface here. Thanks hmchuong!
This script runs using Python 3. It requires nltk, six, and pyspellchecker. To install it as a Python package, follow the following steps:
Step 1: clone this repo, and go inside that repo:
$ git clone [HTTPS or SSH linnk to this repo]
$ cd sotawhat
Step 2: install using pip
$ pip3 install .
On Windows, due to encoding errors, the script may cause issues when run on the command line. It is
recommended to use pip install win-unicode-console --upgrade prior to launching the script. If you get
UnicodeEncodingError, you must install the above.
In MacOS, you can get the SSL error
[nltk_data] Error loading punkt: <urlopen error [SSL:
[nltk_data] CERTIFICATE_VERIFY_FAILED] certificate verify failed:
[nltk_data] unable to get local issuer certificate (_ssl.c:1045)>
this will be fixed by reinstalling certificates
$ /Applications/Python\ 3.x/Install\ Certificates.command
Usage
This project adds the sotawhat script for you to run globally on Terminal or commandline.
To query for a certain keyword, run:
$ sotawhat [keyword] [number of results]
For example:
$ sotawhat perplexity 10
or
$ sotawhat language model 10
If you don't specify the number of results, by default, the script returns 5 results. Each result contains the title of the paper with author and published date, a summary of the abstract, and link to the paper.
We've found that this script works well with keywords that are:
- a model (e.g. transformer, wavenet, ...)
- a dataset (e.g. wikitext, imagenet, ...)
- a task (e.g. language model, machine translation, fuzzing, ...)
- a metric (e.g. BLEU, perplexity, ...)
- random stuff
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