Skip to content
View jonas-becker's full-sized avatar
🍵
🍵
4 followers · 10 following

Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: Arctic Code Vault Contributor
BetaSend feedback

Achievements

Achievement: Pull Sharkx2Achievement: Pair ExtraordinaireAchievement: Arctic Code Vault Contributor
BetaSend feedback

Highlights

  • Pro
Block or Report

Block or report jonas-becker

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jonas-becker/README.md

Hi there, I'm Jonas. 👋

I'm releasing research code all about NLP.

My main focus lies on text-generative models and their application to real-world problems. My core interests strongly overlap with fields such as paraphrase detection, collaborative agents, and AI safety.

📝 Publications

Check out the full list of my publications here.

Pinned

  1. pd-human-vs-machine-content pd-human-vs-machine-content Public

    The official repository for the paper "Paraphrase Detection: Human vs. Machine Content".

    HTML 3

  2. text-generation text-generation Public

    The official repository for the paper "Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges".

    Python 2

  3. automated-crawling-and-multi-level-clustering-of-news-articles automated-crawling-and-multi-level-clustering-of-news-articles Public

    Crawling a dataset of news articles from CommonCrawl and clustering them by their topics.

    Jupyter Notebook 2

  4. releasing-research-code releasing-research-code Public

    Forked from paperswithcode/releasing-research-code

    Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)