Giter Club home page Giter Club logo

open-reasoning-tasks's Introduction

image

Netlify Status

Welcome to the LLM Reasoning Task Collection repository! This project is an open collaboration to create a comprehensive master list of reasoning tasks that can teach, elicit, or show reasoning samples to large language models (LLMs) for training purposes.

Contents

Introduction

The goal of this repository is to gather a diverse set of reasoning tasks designed to improve the reasoning capabilities of LLMs. Contributors are encouraged to submit tasks, provide examples, and optionally include diagrams or workflows to illustrate how the tasks function.

Resources

You can access the main tasks list table by clicking here (or open tasks.md file in the top level directory) image

You can access the full table of reasoning tasks from our quarto based website by clicking here. image

AI Reasoning Papers Master List

Coming Soon

AI Reasoning Formats & Systems

Coming Soon

AI Reasoning Training and Evaluation Datasets

Coming Soon

Contributing

We welcome contributions from everyone! To contribute, please see our Contribution Guide.

License

This project is licensed under the Apache 2.0 License. See the LICENSE file for details.

Citation

@misc{nousresearch2024,
  title = {Open Reasoning Tasks: LLM Reasoning Tasks Collection},
  author = {Nous Research},
  url = {https://github.com/NousResearch/Open-Reasoning-Tasks},
  year = {2024},
}

open-reasoning-tasks's People

Contributors

teknium1 avatar juvi21 avatar bigattichouse avatar aaronstevenson408 avatar mmhamdy avatar isavita avatar n8python avatar pipinstallyp avatar sahil280114 avatar

Stargazers

 avatar FellowTraveler avatar Piotr Mazurek avatar Renat Aksitov avatar Quartz68 avatar Giorgi Nikolaishvili avatar cheng zhang avatar WonderSeen avatar Michael Zaladonis avatar  avatar james hung avatar Tony Yang avatar Rand Xie avatar  avatar Ndil-Adjim  Sou Ngadoy avatar Tan Shaohui avatar Maximus avatar Georg Kreimer avatar Greg DeCarlo avatar Avani avatar ipruning avatar  avatar Aaditya Ura (looking for PhD Fall’24) avatar Álvaro avatar chrisliu298 avatar Daniel Muñoz avatar nithin varghese avatar  avatar K. S. Ernest (iFire) Lee avatar  avatar robotBLZ avatar Andrey Borysenko avatar Dominique Mariko avatar Mariko avatar bion howard avatar Jeffery Lovely avatar Diwank Singh Tomer avatar Manaranjan Pradhan avatar  avatar  avatar  avatar Dragan Jovanović avatar Cameron Pfiffer avatar Martin Salo avatar  avatar Gabriel Martín Blázquez avatar Aditya Mandke avatar TheDetective avatar Nipun Wijerathne avatar Gabe avatar Divax Shah avatar mukul avatar Prateek Ralhan avatar Arioston avatar Vijayakumar Subburaj avatar  avatar Varuna Jayasiri avatar Dominic Fahey avatar Varun Talwar avatar Alex Hafner avatar Bruno Cabral avatar  avatar Brodie avatar Fabio Dias Rollo avatar Mario Filho avatar Jeff Araujo avatar Kirill avatar Nikita Zavgorodnii avatar JP avatar  avatar Mircea Mironenco avatar Akhlak Mahmood avatar  avatar NICOLAS BZRD avatar Bharath Bhushan avatar Johannes Hagemann avatar  avatar Eryk Mazuś avatar  avatar Steven Cobb avatar  avatar chadah avatar Umut Can Eroğlu avatar Arav Kumar avatar Tanvir avatar Luna_yyq avatar Sumin Kim avatar David Marx avatar Ototao avatar Jan Kaniewski avatar  avatar Yen-Ting Lin avatar Prathit avatar  avatar Z avatar  avatar  avatar typeØ(wl)female avatar Matthew avatar Jiří Kuneš avatar

Watchers

Cameron Pfiffer avatar  avatar Bruno Cabral avatar cheng zhang avatar Esko Reinikainen avatar fullstack avatar  avatar  avatar

open-reasoning-tasks's Issues

Structuring suggestions

Hi,

This is an amazing initiative! The idea of compiling a comprehensive list of potential reasoning tasks for language model evaluation is really valuable. I have a couple of suggestions:

  1. This is about all possible reasoning tasks, and not just tasks associated with datasets or a published paper? If so, I think it would be helpful to mention that in the contributing section.

  2. If the task has an associated dataset or a paper, it would be nice to include those in the schema for reference.

  3. Organizing the tasks in one big markdown file would make it harder to check if a task has already been added. Creating a tasks folder with each task in its own markdown file would make it much easier to check and navigate.

  4. Following the previous structure, maybe we can render those markdown files into a github page for ease of access and search.

I can work on the folder structure, website rendering, and updating the contributing section. I just need your approval before starting to work on it.

Cot is after the answer

I see in quite a few examples, there is essentially a cot for doing math steps. It happens after the final answer is provided. This is much harder for the model to learn than having the cot come before the final answer. It also doesn't help with accuracy as much, because the influence of the final answer is already in the context window before it starts doing the steps for the calculation.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.