This is a Plain English Papers summary of a research paper called AI Breakthrough: New Self-Teaching Model Masters PhD Science and Math Using Simple Tools. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- START (Self-Taught Reasoner with Tools) combines large language models with external tools
- Improves reasoning by enabling code execution for complex computations
- Uses innovative "Hint-infer" technique to stimulate tool use without demonstration data
- Implements "Hint Rejection Sampling Fine-Tuning" to optimize model performance
- Achieves competitive results on PhD-level science questions and competition-level math/coding tasks
- Outperforms base model QwQ-32B and rivals state-of-the-art models like R1-Distill-Qwen-32B
Plain English Explanation
The researchers behind START have created something like a calculator-equipped student instead of one doing all calculations in their head.
Large reasoning models (LRMs) like OpenAI's o1 are impressive at solving tough problems. But they have a serious limitation - they try to...
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