R
ReForm-Eval
FudanDISC/ReForm-Eval
An benchmark for evaluating the capabilities of large vision-language models (LVLMs)
★81stars
Python
Apache-2.0
Updated: 1d ago
📋 Project at a Glance
Tap to expand
What's this?Security & Governance project leveraging benchmark and embodied-ai, built with Python, open-source
Who made it?Maintained by FudanDISC team, 81⭐ on GitHub, #341 out of 413 in Security & Governance
Why does it exist?In the Security & Governance space, benchmark workflows faced efficiency bottlenecks. ReForm-Eval was built by FudanDISC to address these embodied-ai challenges.
What can it do?Key use cases: gpt4, in-context-learning, instruction-following
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/FudanDISC/ReForm-Eval
🔗 github.com/FudanDISC/ReForm-Eval
Topics
benchmarkembodied-aigpt4in-context-learninginstruction-followinginstruction-tuninglarge-language-modelslarge-vision-language-modelsllmmultimodalmultimodal-chain-of-thoughtpre-trainingreformulationvisual-chain-of-thought