Rethinking Latent Reasoning for Generative Recommendation: Beyond Teacher-Generated CoT and Recurrent Hidden-State Feedback
Adds learned thought tokens between a user’s item history and the next-item prediction. Trains their hidden states to represent keywords from past items, then processes all thought tokens in one prompt pass without generating a written reasoning trace.
First public: · Added to this list: November 9, 2026
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Thinking tokens — Give a model extra tokens for computation, such as pauses, filler symbols, or learned planning tokens. These tokens need not spell out the solution.