Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
Randomizes which reasoning steps remain visible during training so one model can interpolate between direct and explicit reasoning.
First public:
Cite this paper
ArXiv preprint
arXiv:2410.09918 · Initial submission: 2024-10-13
A published-version citation has not been verified for this entry. This does not mean the paper is unpublished.
Choose the version you used. The arXiv link may serve a revision; check the original paper for the exact result, assumptions and limitations you cite.
Explore this approach
Internalized reasoning — Learn from worked solutions so that some or all of the reasoning can later happen without writing those steps. Training may use a separate teacher model or progressively remove written steps from the model being trained.
Read or reuse this entry
Plain-text Markdown · JSON record · Find in the full list
Our summary and categories are a reading aid, not the authors’ abstract. Use the original paper for research claims. Suggest a correction.