Deep Reasoning Techniques for Research Scenarios
Model excels in STEM areas through scientific literature pre-training and thought chain enhancement: 1) Math Theorem Proving Accuracy 851 TP3T 2) Chemical Equation Balancing Correctness 921 TP3T 3) Physics Problem Solving F1 Value 0.89. Core Competencies Include:
- Support for LaTeX formula parsing and generation
- Automatic traceability verification of academic citations
- Feasibility assessment of experimental programs
In the actual case, by inputting "design an experimental program for verifying relativity theory", the model can generate a complete program including: 1) theoretical basis 2) equipment list 3) operation steps 4) data processing methods 5) error analysis. In the field of quantum computing, the expert evaluation rate of the generated content is 73%, which is significantly higher than other open source models.
This answer comes from the articleQwen3-235B-A22B-Thinking-2507: A large-scale language model to support complex reasoningThe
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