Improving LLM Scientific Reasoning: A Dual-Inference Training Approach
Published:Dec 3, 2025 19:50
•1 min read
•ArXiv
Analysis
This research addresses a critical limitation of Large Language Models (LLMs): logical fallacies in scientific reasoning. The proposed dual-inference training framework offers a promising approach to enhance the accuracy and reliability of LLMs in scientific contexts.
Key Takeaways
- •Addresses logical fallacies in LLM scientific reasoning.
- •Proposes a dual-inference training framework.
- •Aims to improve accuracy and reliability of LLMs in science.
Reference
“The research focuses on addressing logical fallacies.”