Solving Quantitative Reasoning Problems with Language Models
by Community
Language models have achieved remarkable performance on a wide range of tasks that require natural language understanding. Nevertheless, state-of-the-art models have generally st
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Solving Quantitative Reasoning Problems with Language Models
Added 1 June 2026
Overview
Minerva is a large language model pretrained on general natural language data and further trained on technical content. It achieves state-of-the-art performance on college-level mathematics, science, and engineering benchmarks without using external tools. The model is introduced in a research paper from the community.
Best for
Best for
Researchers and developers exploring quantitative reasoning in language models
Use cases
- Solving college-level math problems
- Answering science and engineering questions
- Performing quantitative reasoning without external calculators
Notes
Minerva is a large language model pretrained on general natural language data and further trained on technical content. It achieves state-of-the-art performance on college-level mathematics, science, and engineering benchmarks without using external tools. The model is introduced in a research paper from the community.
Use cases
- Solving college-level math problems
- Answering science and engineering questions
- Performing quantitative reasoning without external calculators
Pros
- State-of-the-art performance on technical benchmarks
- No reliance on external tools or calculators
- Trained on specialized technical content
Cons
- Requires significant computational resources for inference
- Primarily a research contribution, not a production-ready tool
- May not generalize to all quantitative reasoning tasks
Indexed from awesome-llm and enriched against its public facts.
Pros
- State-of-the-art performance on technical benchmarks
- No reliance on external tools or calculators
- Trained on specialized technical content
Cons
- Requires significant computational resources for inference
- Primarily a research contribution, not a production-ready tool
- May not generalize to all quantitative reasoning tasks
Pairs with
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