Sweatywing: Chain-Captable Chain-of-Chain-of-Chain-Chain-imaginary

Sweatling is a decoration for the decorative time that allows to express the llm deciding whether to consider in the latent space and when Write a definite of chain-of-femindyou use The wise wise conviction is displayed from entropy plans to Tolen-Token distribution. Track Training-, Model-Agnosticstone targets Pareto-Sulight Accuracy / achievement of non-trade tradematics and stem bench benches. Reported results results + 1.5% -2.8% accuracy of accuracy with unlimited tokens and + 56% -79% Average effective token at the limited budget; In Aim'24 / '25, reaches higher higher accuracy forward there is a Standard Cot.

What changes are changing during observation?

Commander monitor decoder Next-Token Entropy Building AA Wise Wise Confidence Signal. Where confidence is low (entropy inclinations to the top), it comes in Recent Reasoning-The model continues to reason without removing tokens. Where confidence is available (an entropy trance down), switches back A Clear Reasoningto turn off tokens token to combine and commit to a single direction. A Change to control count restricts the maximum number of Anticipation stressing to stress too much before completing the answer. This powerful conversion is a very important way after the accuracy of the accuracy of the tokens.

Results: accuracy and efficiency in normal suites

Reports to improve in all maths and qualifications for consultation:

• Pass @ 1 (unlimited budget): accuracy arises until + 2.8% (Matt) and + 2.0% (Sticks) in Figure 1 and table 1, with + 2.17% Average over the foundations (cot in sample, greedy cot, and soft thinking).
• Efficiency of Token (Based Badgets): Memorial Development Up to + 79% (Figure 2). Several comparisons indicate the intensity you receive Efficiency of the highest top token in 13/15 examination, with + 84% Average development over the cot in all those settings (Figure 4).
• Pass @ k Dynamics: with qwen3-8b on AIME 2024/2025, The size of consultation is available + 50% before There is a ratio of cot on average (Figure 5), which indicates a quick conversion to the roof with a few sample symptoms.

Why change helps?

Clear cot Is the discription and read but the key in one manner in time, which can discard other practical ways. Recent Reasoning It is also continuously informed of each step, but the strategies there may be a nearby weight and interrupts. Swiruaving adds a SELEET CHANGE SENEUET: Latest categories extend to check when the model is uncertain; Clear Categories spill Religious confidence to strengthen the solution and Give only tokens when you are worth. This page Change to control count Distinctions the process by installing OSCILLATIONS and limit “to deal with long-lasting peace Loss of accuracy of differences including Token waste from observation is identified as challenges of free training methods.

VS shape of bases

This project matches against Cot by sample, Cot is Hahhabeside Soft thinkingReporting a + 2.17% Average Recognition of Accuracy in Unlimited Budgets (Table 1) and agree Working well-token Benefits under budget crisis. Visible The border of the pareto changes outside – or The highest accuracy of the same budget either same accuracy and fewer tokens-Accross Various different families and scales. In AIME'24 / '25, the Pass @ k Curves show that speed is up to the roof of the work with a few samples There are cots, showing the better Conduct of Conduct rather than the best of the roof.

Healed Key

• Training Control: Sweaty alternates between the chain-of-you-thought assuming to use the unpleasant confcream-token entropy styles.
• To achieve wins: Preface + 56-79% Token-Presicialing Secure Secureings under the pressed budgets to compare with the cot, with large insects as budgets strengthen.
• To propose accuracy: Reaches + 1.5-2.8% Average passing @ 1 development in mathematics / stem benchmarks in unlimited budgets.
• Quick Meeting: In AIME 2024/2025, reaches higher higher accuracy forward than cot (advanced of Pass @ k dynamics).

Swiraluving is an active “consultation” step in the “Control” Comment of last time: Training time, expanding the benefits of Khele, and has highlighted the Great Togggling Benefits between the intermediate number. Implementation of an open source of BSD and clear flags (--max_switch_count, --alpha) Do repetitions and lower the obstacle to include effective ornogal application “accuracy of each token”.

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