Internalized Reasoning for Long-Context Visual Document Understanding
Trains on synthetic traces that rank document pages and extract relevant evidence, then uses low-strength model merging to internalize the trained reasoning behavior. Compares answering with and without written reasoning on long visual documents.
First public: · Added to this list: October 18, 2026
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arXiv:2604.02371 · Initial submission: 2026-03-31
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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.
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