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Polyhedral-Constrained Reasoning: A Polyhedral Combinatorics Framework for Structurally Optimal Training of Large Reasoning Models

open access: yes
Large reasoning models (LRMs) significantly improve the performance of complex tasks by generating long-chain reasoning, but at the same time introduce serious problems of redundant reasoning and computational waste. Existing methods (such as Self-Braking Tuning) mainly control the reasoning length through heuristics or posterior adjustment, lacking ...
openaire   +2 more sources

Computing trisections of 4-manifolds. [PDF]

open access: yesProc Natl Acad Sci U S A, 2018
Bell M   +3 more
europepmc   +1 more source

Polytope-Constrained Reasoning: A Polyhedral Combinatorics Framework for Large Reasoning Models

open access: yes
Large Reasoning Models (LRMs) significantly improve the performance of complex tasks by generating long-chain reasoning, but their reasoning process suffers from redundant paths, ineffective expansions, and exponentially increasing computational overhead.
openaire   +2 more sources

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