We-Math

Overview

We-Math is a community benchmark framework for evaluating large multimodal models on mathematical reasoning tasks. It provides a leaderboard that compares model performance against human-like reasoning standards.

Best for

Best for
Researchers and developers benchmarking multimodal models on mathematical reasoning tasks

Use cases

• Evaluating multimodal models on mathematical reasoning tasks
• Benchmarking model performance against human-level reasoning
• Identifying reasoning gaps in current multimodal systems

Notes

We-Math is a community benchmark framework for evaluating large multimodal models on mathematical reasoning tasks. It provides a leaderboard that compares model performance against human-like reasoning standards.

Use cases

• Evaluating multimodal models on mathematical reasoning tasks
• Benchmarking model performance against human-level reasoning
• Identifying reasoning gaps in current multimodal systems

Pros

• Open standard for comparing multimodal math reasoning
• Direct comparison to human performance via leaderboard
• Focused benchmark for a specific capability gap

Cons

• Limited to mathematical reasoning evaluation only
• Does not assess other multimodal capabilities
• Community-driven with potentially irregular updates

Indexed from awesome-llm and enriched against its public facts.