reasoning efficiency — 3 Technical Articles

Mar 25, 2026 · Artificial Intelligence

Claude‑Opus‑4.6 Distilled Qwen3.5 v2: Faster Reasoning with Same Code Accuracy

The new Claude‑Opus‑4.6 distilled Qwen3.5‑v2 keeps code‑generation accuracy while cutting reasoning length by 24% and boosting per‑token correctness by 31.6%, offering a noticeable speed and cost advantage for local LLM deployment despite a 7.2% drop on MMLU‑Pro.

Claude OpusDistillationQwen3.5

0 likes · 7 min read

Claude‑Opus‑4.6 Distilled Qwen3.5 v2: Faster Reasoning with Same Code Accuracy

Baobao Algorithm Notes

May 26, 2025 · Artificial Intelligence

When Should Large Language Models Think? 10 Cutting‑Edge Strategies to Boost Reasoning Efficiency

This article reviews ten recent papers that tackle the over‑thinking problem in large language models by shortening chain‑of‑thought reasoning, introducing dynamic early‑exit, adaptive thinking triggers, and reinforcement‑learning‑based training, showing how models can maintain or improve accuracy while dramatically reducing token usage and latency.

AI researchadaptive inferencechain-of-thought

0 likes · 38 min read

When Should Large Language Models Think? 10 Cutting‑Edge Strategies to Boost Reasoning Efficiency

AI Frontier Lectures

May 25, 2025 · Artificial Intelligence

Can Alternating Generation‑Reduction Make LLMs Think Faster? Introducing PENCIL

The paper presents PENCIL, a novel alternating generation‑and‑erasure reasoning paradigm that achieves optimal space‑time complexity for chain‑of‑thought tasks, dramatically improves accuracy and efficiency on hard SAT, QBF, and Einstein puzzle benchmarks, and is provably Turing‑complete.

Pencilbenchmark resultschain of thought

0 likes · 12 min read

Can Alternating Generation‑Reduction Make LLMs Think Faster? Introducing PENCIL