What Limits Recursive Reasoning Models: Optimization, Architecture and Test-Time Scaling
Recursive reasoning models apply a small shared Transformer block many times to refine a latent state. This gives them large effective depth with few parameters and makes them strong on algorithmic tasks. Such compact solvers are natural candidates for tools that an LLM can call on narrow algorithmic subproblems. Howev...
Yuliana Shakhvalieva, Dmitrii Kharchev, В. Е. Безруков et al.
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