README.md

metadata

title: README
emoji: 🚀
colorFrom: pink
colorTo: green
sdk: static
pinned: false

🪄 GraphWiz: An Instruction-Following Language Model for Graph Problems

Project Page: https://mathoctopus.github.io/

Paper: https://arxiv.org/abs/2310.20246.pdf

Code: https://github.com/nuochenpku/Graph-Reasoning-LLM

About Mathoctopus

This project aims at leveraging instruction-tuning to build a powerful instruction-following LLM that can map textural descriptions of graphs and structures, and then solve different graph problems explicitly in natural language.

• GraphWiz, a series of instruction-following LLMs that have strong graph problem-solving abilities and output explicit reasoning paths.
• GraphInstruct, which offers over 72.5k training samples across nine graph problem tasks, ranging in complexity from linear and polynomial to NP-complete, extending the scope, scale, and diversity of previous benchmarks.